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The opening and sharing of scientific data- The Data Policy of the U.S. National Institutes of Health

The opening and sharing of scientific data- The Data Policy of the U.S. National Institutes of Health

Li-Ting Tsai

　　Scientific research improves the well-being of all mankind, the data sharing on medical and health promote the overall amount of energy in research field. For promoting the access of scientific data and research findings which was supported by the government, the U.S. government affirmed in principle that the development of science was related to the retention and accesses of data. The disclosure of information should comply with legal restrictions, and the limitation by time as well. For government-sponsored research, the data produced was based on the principle of free access, and government policies should also consider the actual situation of international cooperation[1]Furthermore, the access of scientific research data would help to promote scientific development, therefore while formulating a sharing policy, the government should also consider the situation of international cooperation, and discuss the strategy of data disclosure based on the principle of free access.

　　In order to increase the effectiveness of scientific data, the U.S. National Institutes of Health (NIH) set up the Office of Science Policy (OSP) to formulate a policy which included a wide range of issues, such as biosafety (biosecurity), genetic testing, genomic data sharing, human subjects protections, the organization and management of the NIH, and the outputs and value of NIH-funded research. Through extensive analysis and reports, proposed emerging policy recommendations.[2] At the level of scientific data sharing, NIH focused on "genes and health" and "scientific data management". The progress of biomedical research depended on the access of scientific data; sharing scientific data was helpful to verify research results. Researchers integrated data to strengthen analysis, promoted the reuse of difficult-generated data, and accelerated research progress.[3] NIH promoted the use of scientific data through data management to verify and share research results.

　　For assisting data sharing, NIH had issued a data management and sharing policy (DMS Policy), which aimed to promote the sharing of scientific data funded or conducted by NIH.[4] DMS Policy defines “scientific data.” as “The recorded factual material commonly accepted in the scientific community as of sufficient quality to validate and replicate research findings, regardless of whether the data are used to support scholarly publications. Scientific data do not include laboratory notebooks, preliminary analyses, completed case report forms, drafts of scientific papers, plans for future research, peer reviews, communications with colleagues, or physical objects, such as laboratory specimens.”[5] In other words, for determining scientific data, it is not only based on whether the data can support academic publications, but also based on whether the scientific data is a record of facts and whether the research results can be repeatedly verified.

　　In addition, NIH, NIH research institutes, centers, and offices have had expected sharing of data, such as: scientific data sharing, related standards, database selection, time limitation, applicable and presented in the plan; if not applicable, the researcher should propose the data sharing and management methods in the plan. NIH also recommended that the management and sharing of data should implement the FAIR (Findable, Accessible, Interoperable and Reusable) principles. The types of data to be shared should first in general descriptions and estimates, the second was to list meta-data and other documents that would help to explain scientific data. NIH encouraged the sharing of scientific data as soon as possible, no later than the publication or implementation period.[6] It was said that even each research project was not suitable for the existing sharing strategy, when planning a proposal, the research team should still develop a suitable method for sharing and management, and follow the FAIR principles.

　　The scientific research data which was provided by the research team would be stored in a database which was designated by the policy or funder. NIH proposed a list of recommended databases lists[7], and described the characteristics of ideal storage databases as “have unique and persistent identifiers, a long-term and sustainable data management plan, set up metadata, organizing data and quality assurance, free and easy access, broad and measured reuse, clear use guidance, security and integrity, confidentiality, common format, provenance and data retention policy”[8]. That is to say, the design of the database should be easy to search scientific data, and should maintain the security, integrity and confidentiality and so on of the data while accessing them.

　　In the practical application of NIH shared data, in order to share genetic research data, NIH proposed a Genomic Data Sharing (GDS) Policy in 2014, including NIH funding guidelines and contracts; NIH’s GDS policy applied to all NIHs Funded research, the generated large-scale human or non-human genetic data would be used in subsequent research. [9] This can effectively promote genetic research forward.

　　The GDS policy obliged researchers to provide genomic data; researchers who access genomic data should also abide by the terms that they used the Controlled-Access Data for research.[10] After NIH approved, researchers could use the NIH Controlled-Access Data for secondary research.[11] Reviewed by NIH Data Access Committee, while researchers accessed data must follow the terms which was using Controlled-Access Data for research reason.[12] The Genomic Summary Results (GSR) was belong to NIH policy,[13] and according to the purpose of GDS policy, GSR was defined as summary statistics which was provided by researchers, and non-sensitive data was included to the database that was designated by NIH.[14] Namely. NIH used the application and approval of control access data to strike a balance between the data of limitation access and scientific development.

　　For responding the COVID-19 and accelerating the development of treatments and vaccines, NIH's data sharing and management policy alleviated the global scientific community’s need for opening and sharing scientific data. This policy established data sharing as a basic component in the research process.[15] In conclusion, internalizing data sharing in the research process will help to update the research process globally and face the scientific challenges of all mankind together.

 

 

[1]NATIONAL SCIENCE AND TECHNOLOGY COUNCIL, COMMITTEE ON SCIENCE, SUBCOMMITEE ON INTERNATIONAL ISSUES, INTERAGENCY WORKING GROUP ON OPEN DATA SHARING POLICY, Principles For Promoting Access To Federal Government-Supported Scientific Data And Research Findings Through International Scientific Cooperation (2016), 1, organized from Principles, at 5-8, https://obamawhitehouse.archives.gov/sites/default/files/microsites/ostp/NSTC/iwgodsp_principles_0.pdf (last visited December 14, 2020).

[2]About Us, Welcome to NIH Office of Science Policy, NIH National Institutes of Health Office of Science Policy, https://osp.od.nih.gov/about-us/ (last visited December 7, 2020).

[3]NIH Data Management and Sharing Activities Related to Public Access and Open Science, NIH National Institutes of Health Office of Science Policy, https://osp.od.nih.gov/scientific-sharing/nih-data-management-and-sharing-activities-related-to-public-access-and-open-science/ (last visited December 10, 2020).

[4]Final NIH Policy for Data Management and Sharing, NIH National Institutes of Health Office of Extramural Research, Office of The Director, National Institutes of Health (OD), https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-013.html (last visited December 11, 2020).

[5]Final NIH Policy for Data Management and Sharing, NIH National Institutes of Health Office of Extramural Research, Office of The Director, National Institutes of Health (OD), https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-013.html (last visited December 12, 2020).

[6]Supplemental Information to the NIH Policy for Data Management and Sharing: Elements of an NIH Data Management and Sharing Plan, Office of The Director, National Institutes of Health (OD), https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-014.html (last visited December 13, 2020).

[7]The list of databases in details please see：Open Domain-Specific Data Sharing Repositories, NIH National Library of Medicine, https://www.nlm.nih.gov/NIHbmic/domain_specific_repositories.html (last visited December 24, 2020).

[8]Supplemental Information to the NIH Policy for Data Management and Sharing: Selecting a Repository for Data Resulting from NIH-Supported Research, Office of The Director, National Institutes of Health (OD), https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-016.html (last visited December 13, 2020).

[9]NIH Genomic Data Sharing, National Institutes of Health Office of Science Policy, https://osp.od.nih.gov/scientific-sharing/genomic-data-sharing/ (last visited December 15, 2020).

[10]NIH Genomic Data Sharing Policy, National Institutes of Health (NIH), https://grants.nih.gov/grants/guide/notice-files/NOT-OD-14-124.html (last visited December 17, 2020).

[11]NIH Genomic Data Sharing Policy, National Institutes of Health (NIH), https://grants.nih.gov/grants/guide/notice-files/NOT-OD-14-124.html (last visited December 17, 2020).

[12]id.

[13]NIH National Institutes of Health Turning Discovery into Health, Responsible Use of Human Genomic Data An Informational Resource, 1, at 6, https://osp.od.nih.gov/wp-content/uploads/Responsible_Use_of_Human_Genomic_Data_Informational_Resource.pdf (last visited December 17, 2020).

[14]Update to NIH Management of Genomic Summary Results Access, National Institutes of Health (NIH), https://grants.nih.gov/grants/guide/notice-files/NOT-OD-19-023.html (last visited December 17, 2020).

[15]Francis S. Collins, Statement on Final NIH Policy for Data Management and Sharing, National Institutes of Health Turning Discovery Into Health, https://www.nih.gov/about-nih/who-we-are/nih-director/statements/statement-final-nih-policy-data-management-sharing (last visited December 14, 2020).

 

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※The opening and sharing of scientific data- The Data Policy of the U.S. National Institutes of Health,STLI, https://stli.iii.org.tw/en/article-detail.aspx?d=8594&i=168&no=55&tp=2 (Date:2025/07/01)
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Tsai, Li-Ting
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Release： 2021/01
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Introduction to Tax Incentive Regime for SMEs

Introduction to Tax Incentive Regime for SMEs I. Introduction 　　The developments of SMEs (small-and-medium enterprises) plays an important pillar of development of industries and creation of jobs in Taiwan. In 2017, the total number of SMEs in Taiwan was 1,437,616. They offer 8,904,000 jobs, accounting for 78.44% of the workforce[1]. However, SMEs have difficulties in entering international supply chains because of their weakness in finance. Therefore, how to enhance the global competitiveness of SMEs is an important issue for the concerned authority. Chapter 4 of the Act for Development of Small and Medium Enterprises prescribes the tax incentive regime based on the financial capability of SMEs and characteristics of industries in order to facilitate the development of SMEs, especially the globalization of SMEs. This paper will review the importance of tax incentives to SMEs and introduces the tax incentive regime under the Act for Development of Small and Medium Enterprises In order to help SMES have an understanding of such regime. II. SME Tax Incentives Scheme 　　As the gatekeeper of the market, the government may intervene the market with various policies or tools to reallocate and improve the soundness of the market environment when the market competitions is impaired due to information asymmetry or externalities. At this juncture, preferential tax rates or tax deductions can be offered to specific taxpayers through legal institution. This allows these taxpayers to retain higher post-tax earnings so that they are incentified to invest more resources in the legally defined economic activities. Tax incentives targeting at risky or spillover investments to create benefits to specific economic activities will help the development of industries and markets. 　　Whilst Article 10 of the Statute for Industrial Innovation has provided tax cuts for R&D expenditures, these incentives are not focus on SMEs and hence not supportive to their research and innovations. This was the reason for the 2016 amendment of the Act for Development of Small and Medium Enterprises added Article 35 to offer tax incentives in order to encourage R&D and innovative efforts and Article 35-1 to activate intellectual properties via licensing. These articles aim to accelerate the momentum of innovations and transformations which promoting investments for SMEs. OthersTo assist SMEs to cope with change of the business environment, the Article 36-2 added the tax incentives for salary or headcount increases, to contribute to the sustainability of SMEs and stabilize the labour market and industrial structures. Following is an explanation of the applicability of these schemes and the requirements to qualify such incentives. III. Tax Incentives to Promote Investments (I) Tax deductions for R&D expenditures 　　Governments around the world seek to encourage corporate R&D activities, that Tax incentives are put in place to reduce R&D costs and foster a healthy environment of investment for more R&D initiatives. Neighboring countries such as Japan, Korea and Singapore are frequently practicing belowing tax burdens to encourage R&D efforts. Article 35 of the Act for Development of Small and Medium Enterprises in Taiwan allows accelerated depreciation and offers tax cuts[2] to stimulate R&D and innovations and create an investment friendly environment for SMEs. 1. Taxpaying Entities and Requirements (1) Qualifications for SMEs 　　Article 35 of the Act is applicable to qualified SMEs and individual taxpayers, which are (1) from manufacturing, construction & engineering, mining and quarrying industries, with paid-in capital below or equal to NT$80 million or with the number of full-time employees less than 200 people; (2) from other industries with the sales of the previous year below or equal to NT$100 million or with the number of full-time employees less than 100 people. Thus, the qualifications of Small and Medium Enterprises are based on either paid-in capital/sales or number of employees under the Act[3].Meanwhile, SMEs may not have an independent R&D department due to the limit of size or operating cost.Therefore, if the taxpayers hiring full-time R&D personnel that can provide records of job descriptions and work logs to R&D activities, the SMEs can access the tax incentives provided that the R&D functions. The recognized by government agencies is increasingly flexibility for SMEs seeking policy support. 2. Taxpayers and requirements (1) A certain degree of innovativeness 　　As the tax incentive regime strives to promote innovations, the R&D expenses should be used to fund innovative developments. According to the official letters from the Small and Medium Enterprise Administration, Ministry of Economic Affairs, there is no high bar as forward-looking, risky and innovative as usually” required for other incentives previously, which is considering the size of SMEs and their industry characteristics. The “certain degree” of innovativeness shall be based on industry environments and SME businesses as determined by competent authorities in a flexible manner. (2) Flexibility in the utilization of business income tax reductions 　　To encourage regular R&D activities, The case that SMEs may not have R&D undertakings each year due to funding constraints, or start-up company may have incurred R&D expenditures but are not yet profitable and hence have no tax liabilities during the year, Corporate taxpayers were able to choose beside deduct the payable taxes during a single year, and reduce the payable taxes during the current year over three years starting from the year when tax incentives are applicable. 3. Tax incentive effects 　　As previously mentioned, Article 35 of the Act for Development of Small and Medium Enterprises accommodates the characteristics of SMEs by allowing reductions of corporate business taxes for up to 15% R&D expenditures during the current year, or spreading the tax reductions by spreading up to 10% of the R&D expenditures over three years from the first year when the incentives are applicable. It is worth noting that the tax deductions shall not exceed 30% of the payable business income taxes during a single year. 　　If the instruments and equipment for R&D, experiments or quality inspections have a lifetime over two years or longer, it is possible to accelerate the depreciation within half of the years of service prescribed by the income tax codes for fixed assets. However, the final year less than 12 months over the shortened service years shall not be counted. Accelerated depreciation brings in tax benefits for fixed asset investments during the initial stage, that meets the requirements for new technologies and risk management by frontloading the equipment depreciation and creates a buffer for capital utilization. (II) Deferred taxations on licensing/capitalization of intellectual properties 　　The deferral of tax payments under the Act for Development of Small and Medium Enterprises is meant to avoid any adverse effect on the application of technological R&Ds by SMEs. As the equity stakes via capitalization of intellectual properties by inventors or creators are not cashed out yet and the subsequent gains may not be at the same valuation as determined at the time of capitalization, the immediate taxation may hinder the willingness to transfer intellectual properties. Therefore, assisting SMEs to release intellectual properties with potential economic value, the licensing and capitalization of intellectual properties is strongly encouraged. The tax expenses shall be deferred within SME or an individual acquires stakes on a non-publicly-listed company by transferring their intellectual properties. 　　This is to stimulate the applications and sharing of relevant manufacturing technologies. When an SME or an individual acquires stakes on a non-publicly-listed company by transferring their intellectual properties, their tax expenses shall be deferred. 1. Taxpayers and requirements (1) Qualifications for individuals or SMEs 　　Article 35-1 of the Act for Development of Small and Medium Enterprises is applicable to SMEs and individual taxpayers. This is to foster the growth of SMEs and enhancement of industry competitiveness by encouraging R&D and innovations from individuals and start-ups. To promote the commercialize of intellectual properties in different ways, the Act for Development of Small and Medium Enterprises provides income tax incentives to individuals and SMEs transferring intellectual properties. The purpose is to encourage different paths to industry upgrades. (2) Ownership of intellectual properties 　　To ensure that the proceeds of intellectual property is linked to the activity of intellectual properties which perform by individuals or SMEs. Only the owners of the intellectual properties capitalized and transferred can enjoy the tax benefits. 　　Intellectual properties referred to in the Act for Development of Small and Medium Enterprises are the properties with value created with human activities and hence conferred with legal rights. These include but are not limited to copyrights, patent rights, trademarks, trade secrets, integrated circuit layouts, plant variety rights and any other intellectual properties protected by laws[4]. (3) Acquisition of stock options 　　The abovementioned tax incentives are offered to the individuals or SMEs who transfer intellectual properties to non-listed companies in exchange of their new shares. The income taxes on the owners of intellectual properties are deferred until acquisition of shares. These shares are not registered with the book-entry system yet. Before the transferrers of intellectual properties dispose or offload these shares, immediate taxations will impose economic burdens and funding challenges given the unknown prices of the eventual cash-out. Therefore, this legislation is only applicable to taxpayers who obtain options for new shares. 2. Taxpayers and requirements (1) Transfer of intellectual properties 　　According to Article 36 of the Copyright Act as interpreted by official letters issued by the Ministry of Finance, the transfer of intellectual properties is the conferring of intellectual properties to others, and the transferees access these intellectual properties within the scope of the transfer. In terms “transfer” of the first and second paragraphs of Article 36 does not include licensing[5], but such as granting, licensing and inheritance. (2) Timing of income tax payments 　　In general, the particular time that calculation of taxes payable is based on when the taxpayers acquire the incomes, less relevant expenses or costs. The taxes payable timing should be depending on when the taxpayers obtain the newly issued shares by transferring intellectual properties. However, the levy of income taxes at the time of intellectual property transfers and new share acquisitions may cause a sudden jump in taxes payable in the progressive system and thus a burden on the economics of SMEs and individuals concerned. Thus, to avoid disruptions to company operations or personal finance planning, Article 36 makes the exception for the incomes earned by subscribing to new shares as a result of transferring intellectual properties. Such incomes are not subject to taxes during the year when the shares are acquired, in order to mitigate the tax barriers concerned. 　　In sum, the taxes shall be paid when such shares are transferred, gifted or distributed. 3. Tax incentive effects 　　Article 35-1 of the Act for Development of Small and Medium Enterprises provides tax incentives to stimulate the mobilization of intellectual properties by smoothing out the impact of income taxes payable. This is applicable to (1) SMEs who can postpone the business income taxes payable from the year when they acquire new shares of non-listed companies by transferring the intellectual properties they own; (2) individuals who can postpone the individual income taxes payable from the year when they acquire new shares of non-listed companies by transferring the intellectual properties they own. IV. Tax incentives aiming to improve the business environment (I) Tax reductions for wages to additional headcounts 　　SMEs are vital to the Taiwan, making uo 90% of the companies accounting in Taiwan, who employ more than 6.5 million people or 72.8% of the total workforce. Any economic recession may make it difficult for SMEs to maintain their labor costs given their smaller funding size and external challenges. This will cause higher unemployment rates and hurt the economy, which may cause impairment of the capacity or create a labor gap for SMEs, eventually shrink the industry scale. To lower the burden of operational and investment costs and learn from the legislatives in Japan and the U.S.[6], tax incentives are put in place as a buffer for adverse effects of external environments. The first paragraph of Article 36-2 of the Act for Development of Small and Medium Enterprises provide tax incentives for employee salaries of new headcounts based on the assessment on the economy over a time period. This is intended to encourage domestic investments and avoid the pitfall of direct government subsidies distorting salary structures. It is hoped that investments from SMEs can stimulate the momentum of economic growth. 1. Taxpayers 　　The tax incentives under Article 36-2 of the Act for Development of Small and Medium Enterprises aim to assist SMEs through difficult times in an economic downturn. The threshold of the period time is based on the unemployment rate has been below the economic indicator predetermined for six consecutive months, which calculated by the Directorate General of Budget, Accounting and Statistics, Executive Yuan. In number of the unemployment rate has been below the economic indicator predetermined for six consecutive months, it is deemed that the business environment is not friendly to SMEs. In this instance, the Regulations for the Tax Preferences Provided to Small and Medium-sized Enterprises on Additional Wage Payment will trigger the tax incentives. The abovementioned economic indicator shall be published by the competent authorities once every two years. 　　Moreover, to qualify for the tax incentives for new employees, SMEs should investing new ventures or instill new capital by at least $500,000[7] or hiring workforce at least two full-time headcounts compared with the previous fiscal year, that constitute at the Article 36-2 of the Act for Development of Small and Medium Enterprises, which aims to encourage SMEs investments. 2. Taxpayers (1) Qualifications of additional headcounts 　　As the dispatched human resource services typically meet temporary or short-term requirements and contractors do not enjoy employment security, this is not consistent with the spirit of the legislation to create jobs and reduce unemployment. Therefore, to avoid the one-time increase of headcounts from accessing the tax reductions during the year and the deterioration of labor relations in Taiwan. Tax incentive is not offered to the additional recruitment of part-time or contracted workers. 　　Meanwhile, the tax incentives are only applicable to the additional employment of Taiwanese nationals, above or below 24 years old. A tax deduction of 50% based on annual wages is provided for the hiring of people below 24 years old. The extra tax deduction will stimulate young employment. (2) Definition of additional employment 　　The number of additional headcounts is based on permanent hires and calculated as the difference between the average number of Taiwanese employees covered by labor insurance per month throughout a single fiscal year or before and after the incremental increase of workforce. The conversion of regular contracts to indefinite employment in writing or signing up for indefinite R&D headcounts under the military service scheme can also be deemed as additional employment. It is worth noting, however, the new headcounts resulted from M&A activities or transfer between affiliated companies are excluded in this legislation. (3) Calculation of wages 　　Companies are also required to increase employment as well as the Comparable Wages. The comparable wages are estimated with the summation of 30% of the wages for the year before and after additional employment that based on the aggregate of the new hires comparable wages compared to the prior year. In other words, if the aggregate wages paid out are higher than comparable wages during the year, the companies concerned have indeed incurred higher personnel expenses. Tax incentives are thus granted because it improves the business environment and it is the purpose of this legislation. 3. Tax incentive effects 　　The first paragraph of Article 36-2 of the Act for Development of Small and Medium Enterprises provides deductions of business income taxes during the year to qualified SMEs at an amount equivalent to 130% of the incremental wages paid to new headcounts who are Taiwanese nationals. The deductible amount is equivalent to 150% of the incremental wages if new headcounts are Taiwanese nationals below 24 years old. (II) Tax incentives for companies that increase salaries 　　Companies are subject to the effect of changes in the external factors such as global supply and demand on the international market, as well as the domestic business environment as a result of risk aversion from investors and expectation from customers. These uncertainties associated with investments and the rising prices for consumers will suppress the wage levels in Taiwan. This the reason why the second paragraph of Article 36-2 of the Act for Development of Small and Medium Enterprises grants tax deductions for the companies who increase salaries, to encourage companies share earnings with employees and enhance private-sector consumption. SMEs may deduct their business income taxes payable during the year up to 30% of salary increase for existing entry-level employees who are Taiwanese nationals, not as a result of statutory requirement for basic wage adjustments. 1. Taxpayers 　　The tax incentives are applicable to SMEs as defined by the Regulations for the Tax Preferences Provided to Small and Medium-sized Enterprises on Additional Wage Payment and based on the same economic indicators previously mentioned. 2. Qualification for tax incentives (1) Definition of entry-level employees 　　The object of taxation under this act is the enterprise's average wage payment to the entry-level employees. The entry-level employees referred to in this act are authorized by the "Small and medium-sized enterprise employee salary increase, salary deduction act " that refers to employees of local nationality with an average monthly recurring salary below nt $50,000[8] whose were entered into indefinite employment contracts with SMEs. Through such conditions, the effect of tax concessions will be concentrated on promoting the salary level of grassroots staff and helping enterprises to cope with changes in the industrial environment. (2) Average salaries 　　The salaries to entry-level employees refer to the basic salaries, fixed allowances and bonuses paid on a monthly basis. Payment-in-kind shall be discounted based on the actual prices and included into the regular salaries. Meanwhile, regular salaries should be calculated with annualized averages, as this legislation seeks to boost salary levels. The regular salaries to entry-level employees during the year are estimated with the monthly number of entry-level employees during the same year. Only when the average basis salaries during the year are higher than those in the prior year can the tax incentives be applicable. 3. Tax incentive effects 　　Applying this article, SMEs can deduct their business income taxes each year up to 130% of salary increase for existing entry-level employees who are Taiwanese nationals, which are not as a result of statutory requirement for basic wage adjustments. However, it is not allowed to double count the increased personnel expenses for new headcounts applicable to the first and second paragraphs of the same article. V. Conclusions 　　The funding scales and relatively weak financial structures are the factors that led SMEs be susceptible influenced by supply change dynamics and business cycles. To the extent that is suppressing the flexible in capital utilization for SMEs, also influencing on the sustainability of SMEs. Differ from government subsidies require budgeting, reviewing and implementations, there are complications regarding the allocation of administrative resources. Therefore, it is important to plan for tax incentives in order to stimulate R&D, innovation and job creation by SMEs and ultimately make SMEs more competitive. 　　The tax incentives to SMEs amended in 2016 by the Small and Medium Enterprise Administration are known for the following: (I) The lowering of thresholds for tax reductions of R&D expenses in order to encourage SMEs to invest in R&D activities with a “certain degree” of innovativeness and enhance the momentum for SMEs to upgrade and transform themselves; (II) Deferral the income taxations on the transfer of intellectual properties for equity, in order to encourage application and utilization of such intellectual properties, provide incentives for R&D programs or innovations by individuals and SMEs. This also creates a catalyst for industry upgrade; (III) Tax deductions for the employment of new headcounts or the increase of employee wages during the time the economic indicators have reached a certain threshold and based on the health of the investment environment. This is to encourage company investments and capital increases in Taiwan and mitigate the volatility of economic cycles, in order to get ready for business improvement. 　　The above tax incentive programs, i.e. tax deductions for R&D and innovations; deferral of taxations on the transfer of intellectual properties for equity; tax deductions for the hiring of new headcounts and the increase of employee salaries, are meant to boost the investment from SMEs and the competitiveness of SMEs. The Act for Development of Small and Medium Enterprises seeks to reduce tax burdens of SMEs actively investing for their future and competitive advantages. Tax incentives help to mitigate the adverse effect of the economy on the business environment. It is also the fostering of the sources of business income tax revenues for the government. This is the very purpose of the Act for Development of Small and Medium Enterprises. [1]White Paper on Small and Medium Enterprises in Taiwan, 2018, p21 (November 9, 2018) published by the Ministry of Economic Affairs [2]Pursuant to the authorization conferred by Article 35 of the Act for Development of Small and Medium Enterprises, the Ministry of Economic Affairs has announced the Regulations Governing the Reduction of Expenditures for Small and Medium Enterprises Research and Development as Investment. [3]Article 2 on the definition of SMEs. The abovementioned criterion is universally applicable to the Act for Development of Small and Medium Enterprises. It also applies to the eligibility of tax incentives to be introduced in this paper unless otherwise specified. [4]Official Letter Economic-Business No. 10304605790, Ministry of Economic Affairs [5]Official Letter Taiwan-Finance No. 10300207480, Ministry of Finance [6]“Assessment of the Taxations under Article 35, Article 35-1, the first paragraph and the second paragraph of Article 36-2, the Act for Development of Small and Medium Enterprises” published by the Small and Medium Enterprise Administration, Ministry of Economic Affairs, pages 15-17, https://www.moeasmea.gov.tw/files/2670/93B9AF54-84E2-4293-A5CA-EA7DD9FAA05A(most recently browsed date September 9, 2019). [7]Order of Interpretation Economics-Business No. 104004602510 from the Ministry of Economic Affairs: “Second, on the day when the economic indicator has reached the threshold, the paid-in capital of the new business should be at least NT$500,000 and there is no need to instill additional capital during the period when tax incentives are applicable. For existing businesses, there is no limitation on the number of capital increases during the applicable period. So long as the cumulative increase in capital reaches NT$500,000 and new employees are hired during the same fiscal year or during the prior fiscal year.” [8]Paragraph 1, Article 2 of the Regulations for the Tax Preferences Provided to Small and Medium-sized Enterprises on Additional Wage Payment

Observing Recent Foreign Developments upon Bio-medicine、 Marketing Medical Devices、Technology Development Project and the Newest Litigation Trend Concerning the Joint Infringement of Method/Process Patents

1、Chinese REACH has put into shape, how about Taiwan REACH? - A Perspective of Chinese Measures on Environmental Management of New Chemical Substances Taiwan food industry has been struck by the government agency's disclosure that certain unfaithful manufacturers have mixed toxic chemicals into the food additives for the past 30 years, and the chemicals may seriously threaten public health. This event has not only shocked the confidence of the customers to the industry, but also drew public attention on the well-management and the safe use of chemicals. In order to manage the fast advancing and widely applicable chemical substance appropriately, the laws and regulations among the international jurisprudences in recent years tend to regulate unfamiliar chemicals as “new chemical substances” and leverage registration systems to follow their use and import. REACH is one the most successful models which has been implemented by European Union since 2006. China, one of our most important business partners, has also learned from the EU experience and implemented its amended " Measures on Environmental Management of New Chemical Substances" (also known as "Chinese REACH") last year. It is not only a necessity for our industry which has invested or is running a business in China to realize how this new regulation may influence their business as differently , but also for our authority concerned to observe how can our domestic law and regulation may connect to this international trend. Therefore, except for briefing the content of Chinese REACH, this article may also review those existing law and regulations in Taiwan and observe the law making movement taken by our authority. We expect that the comparison and observation in this article may be a reference for our authorities concerned to map out a better environment for new chemical management. 2、The study on Taiwanese businessmen Join the Bid Invitation and Bidding of Science and Technology Project China government invests great funds in their Science and Technology Project management system, containing most of innovated technology. It also creates the great business opportunity for domestic industry. China government builds up a Bid Invitation and Bidding Procedure in the original Science and Technology Project Regime recent years, in order to make the regime become more open and full of transparency. It also improves Regime to become more fairness and efficiency. Taiwan industry may try to apply for those Science and Technology Project, due to this attractive opportunity, but they should understand china's legal system before they really do that. This Article will introduce the "Bid Invitation and Bidding Law of the Peoples Republic of China", and the "Provisional Regulation on Bid Invitation and Bidding of Science and Technology Project", then clarify applied relationship between the "Bid Invitation and Bidding Law of the Peoples Republic of China", and "Government Procurement Law of the Peoples Republic of China". It also analyzes "Bid Invitation and Bidding Procedure", "Administration of Contract Performance Procedure", "Inspection and Acceptance Procedure", and "Protest and Complaint Procedure, providing complete legal observation and opinion for Taiwan industry finally. Keyword Bid Invitation and Bidding Law of the Peoples Republic of China; Government Procurement Law of the Peoples Republic of China; Provisional Regulation on Bid Invitation and Bidding of Science and Technology Project; Applying for Science and Technology Project Regime; Bid Invitation and Bidding Procedure; Administration of Contract Performance Procedure; Inspection and Acceptance Procedure; Protest and Complaint Procedure. 3、Comparing the Decisions of the United States Supreme Court regarding Preempting Marketing Medical Devices and Drugs from State Tort Litigations with the Decision of a Hypothetical Case in Taiwan The investment costs of complying with pertinent laws and regulations for manufacturing, marketing, and profiting from drugs and medical devices (abbreviated as MD) are far higher than the costs necessary for securing a market permit. The usage of MD products contains the risk of harming their users or the patients, who might sue the manufacturer for damages in the court based on tort law. To help reduce the risk of such litigation, the industry should be aware of the laws governing the state tort litigations and the preemption doctrine of the federal laws of the United States. This article collected four critical decisions by the United States Supreme Court to analyze the requirements of federal preemption from the state tort litigations in these cases. The article also analyzed the issues of preemption in our law system in a hypothetical case. These issues include the competing regulatory requirements of the laws and regulations on the drugs and MDs and the Drug Injury Relief Act versus the Civil Code and the Consumer Protection Law. The article concluded: 1. The pre-market-approval of MD in the United States is exempted from the state tort litigations; 2. Brand-name-drug manufacturers must proactively update the drug label regarding severe risks evidenced by the latest findings; 3. Generic-drug manufacturers are exempted from the product liability litigations and not required to comply with the aforementioned brand-name-drug manufacturers' obligation; 4. No preemption issues are involved in these kinds of product liability litigations in our country; 5. The judge of general court is not bound by the approval of marketing of drug and MD; 6. The judge of general court is not bound by the determination and verdict of the Drug Injury Relief Act. 4、Through Computer-Aided Detection Software, Comparing by Discussing and Analyzing the Regulatory Requirements for Marketing Medical Devices in the United States and in Taiwan Computer-Aided Detection (CADe) software systematically assists medical doctors to detect suspicious diseased site(s) inside patients' bodies, and it would help patients receive proper medical treatments as soon as possible. Only few of this type of medical device (MD) have been legally marketed either in the United States of America (USA) or in Taiwan. This is a novel MD, and the rules regulating it are still under development. Thus, it is valuable to investigate and discuss its regulations. To clarify the requirements of legally marketing the MD, this article not only collects and summarizes the latest draft guidance announced by the USA, but also compares and analyzes the similarities and differences between USA and Taiwan, and further explains the logics that USA applies to clarify and qualify CADe for marketing, so that the Department of Health (DOH) in Taiwan could use them as references. Meanwhile, the article collects the related requirements by the Administrative Procedure Act and by the Freedom of Government Information Law of our nation, and makes the following suggestions on MD regulations to the DOH: creating product code in the system of categorization, providing clearer definition of classification, and actively announcing the (abbreviated) marketing route that secures legal permission for each individual product. 5、A Discussion on the Recent Cases Concerning the Joint Infringement of Method/Process Patents in the U.S. and Japan In the era of internet and mobile communication, practices of a method patent concerning innovative service might often involve several entities, and sometimes the method patent can only be infringed jointly. Joint infringement of method/process patents is an issue needed to be addressed by patent law, since it is assumed that a method patent can only be directly infringed by one entity to perform all the steps disclosed in the patent. In the U.S., CAFC has established the "control or direction" standard to address the issue, but the standard has been criticized and it is under revision now. In Japan, there is no clearly-established standard to address the issue of joint infringement, but it seems that the entity that controls and benefits from the joint infringement might be held liable. Based on its discussion about the recent development in the U.S. and Japan, this article attempts to provide some suggestions for inventors of innovative service models to use patents to protect their inventions properly: they should try to avoid describing their inventions in the way of being practiced by multi-entities, they should try to claim both method and system/apparatus inventions, and they should try to predict the potential infringement of their patents in order to address the problem of how to prove the infringement.

Hard Law or Soft Law? –Global AI Regulation Developments and Regulatory Considerations

Hard Law or Soft Law? –Global AI Regulation Developments and Regulatory Considerations 2023/08/18 Since the launch of ChatGPT on November 30, 2022, the technology has been disrupting industries, shifting the way things used to work, bringing benefits but also problems. Several law suits were filed by artists, writers and voice actors in the US, claiming that the usage of copyright materials in training generative AI violates their copyright.[1] AI deepfake, hallucination and bias has also become the center of discussion, as the generation of fake news, false information, and biased decisions could deeply affect human rights and the society as a whole.[2] To retain the benefits of AI without causing damage to the society, regulators around the world have been accelerating their pace in establishing AI regulations. However, with the technology evolving at such speed and uncertainty, there is a lack of consensus on which regulation approach can effectively safeguard human rights while promoting innovation. This article will provide an overview of current AI regulation developments around the world, a preliminary analysis of the pros and cons of different regulation approaches, and point out some other elements that regulators should consider. I. An overview of the current AI regulation landscape around the world The EU has its lead in legislation, with its parliament adopting its position on the AI ACT in June 2023, heading into trilogue meetings that aim to reach an agreement by the end of this year.[3] China has also announced its draft National AI ACT, scheduled to enter its National People's Congress before the end of 2023.[4] It already has several administration rules in place, such as the 2021 regulation on recommendation algorithms, the 2022 rules for deep synthesis, and the 2023 draft rules on generative AI.[5] Some other countries have been taking a softer approach, preferring voluntary guidelines and testing schemes. The UK published its AI regulation plans in March, seeking views on its sectoral guideline-based pro-innovation regulation approach.[6] To minimize uncertainty for companies, it proposed a set of regulatory principles to ensure that government bodies develop guidelines in a consistent manner.[7] The US National Institute of Standards and Technology (NIST) released the AI Risk Management Framework in January[8], with a non-binding Blueprint for an AI Bill of Rights published in October 2022, providing guidance on the design and use of AI with a set of principles.[9] It is important to take note that some States have drafted regulations on specific subjects, such as New York City’s Final Regulations on Use of AI in Hiring and Promotion came into force in July 2023.[10] Singapore launched the world’s first AI testing framework and toolkit international pilot in May 2022, with the assistance of AWS, DBS Bank, Google, Meta, Microsoft, Singapore Airlines, etc. After a year of testing, it open-sourced the software toolkit in July 2023, to better develop the system.[11] There are also some countries still undecided on their regulation approach. Australia commenced a public consultation on its AI regulatory framework proposal in June[12], seeking views on its draft AI risk management approach.[13] Taiwan’s government announced in July 2023 to propose a draft AI basic law by September 2023, covering topics such as AI-related definition, privacy protections, data governance, risk management, ethical principles, and industrial promotion.[14] However, the plan was recently postponed, indicating a possible shift towards voluntary or mandatory government principles and guidance, before establishing the law.[15] II. Hard law or soft law? The pros and cons of different regulatory approaches One of the key advantages of hard law in AI regulation is its ability to provide binding legal obligations and legal enforcement mechanisms that ensure accountability and compliance.[16] Hard law also provides greater legal certainty, transparency and remedies for consumers and companies, which is especially important for smaller companies that do not have as many resources to influence and comply with fast-changing soft law.[17] However, the legislative process can be time-consuming, slower to update, and less agile.[18] This poses the risk of stifling innovation, as hard law inevitably cannot keep pace with the rapidly evolving AI technology.[19] In contrast, soft law represents a more flexible and adaptive approach to AI regulation. As the potential of AI still remains largely mysterious, government bodies can formulate principles and guidelines tailored to the regulatory needs of different industry sectors.[20] In addition, if there are adequate incentives in place for actors to comply, the cost of enforcement could be much lower than hard laws. Governments can also experiment with several different soft law approaches to test their effectiveness.[21] However, the voluntary nature of soft law and the lack of legal enforcement mechanisms could lead to inconsistent adoption and undermine the effectiveness of these guidelines, potentially leaving critical gaps in addressing AI's risks.[22] Additionally, in cases of AI-related harms, soft law could not offer effective protection on consumer rights and human rights, as there is no clear legal obligation to facilitate accountability and remedies.[23] Carlos Ignacio Gutierrez and Gary Marchant, faculty members at Arizona State University (ASU), analyzed 634 AI soft law programs against 100 criteria and found that two-thirds of the program lack enforcement mechanisms to deliver its anticipated AI governance goals. He pointed out that credible indirect enforcement mechanisms and a perception of legitimacy are two critical elements that could strengthen soft law’s effectiveness.[24] For example, to publish stem cell research in top academic journals, the author needs to demonstrate that the research complies with related research standards.[25] In addition, companies usually have a greater incentive to comply with private standards to avoid regulatory shifts towards hard laws with higher costs and constraints.[26] III. Other considerations Apart from understanding the strengths and limitations of soft law and hard law, it is important for governments to consider each country’s unique differences. For example, Singapore has always focused on voluntary approaches as it acknowledges that being a small country, close cooperation with the industry, research organizations, and other governments to formulate a strong AI governance practice is much more important than rushing into legislation.[27] For them, the flexibility and lower cost of soft regulation provide time to learn from industries to prevent forming rules that aren’t addressing real-world issues.[28] This process allows preparation for better legislation at a later stage. Japan has also shifted towards a softer approach to minimize legal compliance costs, as it recognizes its slower position in the AI race.[29] For them, the EU AI Act is aiming at regulating Giant Tech companies, rather than promoting innovation.[30] That is why Japan considers that hard law does not suit the industry development stage they’re currently in.[31] Therefore, they seek to address legal issues with current laws and draft relevant guidance.[32] IV. Conclusion As the global AI regulatory landscape continues to evolve, it is important for governments to consider the pros and cons of hard law and soft law, and also country-specific conditions in deciding what’s suitable for the country. Additionally, a regular review on the effectiveness and impact of their chosen regulatory approach on AI’s development and the society is recommended. Reference: [1] ChatGPT and Deepfake-Creating Apps: A Running List of Key AI-Lawsuits, TFL, https://www.thefashionlaw.com/from-chatgpt-to-deepfake-creating-apps-a-running-list-of-key-ai-lawsuits/ (last visited Aug 10, 2023); Protection for Voice Actors is Artificial in Today’s Artificial Intelligence World, The National Law Review, https://www.natlawreview.com/article/protection-voice-actors-artificial-today-s-artificial-intelligence-world (last visited Aug 10, 2023). [2] The politics of AI: ChatGPT and political bias, Brookings, https://www.brookings.edu/articles/the-politics-of-ai-chatgpt-and-political-bias/ (last visited Aug 10, 2023); Prospect of AI Producing News Articles Concerns Digital Experts, VOA, https://www.voanews.com/a/prospect-of-ai-producing-news-articles-concerns-digital-experts-/7202519.html (last visited Aug 10, 2023). [3] EU AI Act: first regulation on artificial intelligence, European Parliament, https://www.europarl.europa.eu/news/en/headlines/society/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence (last visited Aug 10, 2023). [4] 中國國務院發布立法計畫 年內審議AI法草案，經濟日報(2023/06/09)，https://money.udn.com/money/story/5604/7223533 (last visited Aug 10, 2023). [5] id [6] A pro-innovation approach to AI regulation, GOV.UK, https://www.gov.uk/government/publications/ai-regulation-a-pro-innovation-approach/white-paper (last visited Aug 10, 2023). [7] id [8] AI RISK MANAGEMENT FRAMEWORK, NIST, https://www.nist.gov/itl/ai-risk-management-framework (last visited Aug 10, 2023). [9] The White House released an ‘AI Bill of Rights’, CNN, https://edition.cnn.com/2022/10/04/tech/ai-bill-of-rights/index.html (last visited Aug 10, 2023). [10] New York City Adopts Final Regulations on Use of AI in Hiring and Promotion, Extends Enforcement Date to July 5, 2023, Littler https://www.littler.com/publication-press/publication/new-york-city-adopts-final-regulations-use-ai-hiring-and-promotionv (last visited Aug 10, 2023). [11] IMDA, Fact sheet - Open-Sourcing of AI Verify and Set Up of AI Verify Foundation (2023), https://www.imda.gov.sg/-/media/imda/files/news-and-events/media-room/media-releases/2023/06/7-jun---ai-annoucements---annex-a.pdf (last visited Aug 10, 2023). [12] Supporting responsible AI: discussion paper, Australia Government Department of Industry, Science and Resources,https://consult.industry.gov.au/supporting-responsible-ai (last visited Aug 10, 2023). [13] Australian Government Department of Industry, Science and Resources, Safe and responsible AI in Australia (2023), https://storage.googleapis.com/converlens-au-industry/industry/p/prj2452c8e24d7a400c72429/public_assets/Safe-and-responsible-AI-in-Australia-discussion-paper.pdf (last visited Aug 10, 2023). [14] 張璦，中央通訊社，AI基本法草案聚焦隱私保護、應用合法性等7面向 擬設打假中心，https://www.cna.com.tw/news/ait/202307040329.aspx (最後瀏覽日：2023/08/10)。 [15] 蘇思云，中央通訊社，2023/08/01，鄭文燦：考量技術發展快應用廣 AI基本法延後提出，https://www.cna.com.tw/news/afe/202308010228.aspx (最後瀏覽日：2023/08/10)。 [16] supra, note 13, at 27. [17] id. [18] id., at 28. [19] Soft law as a complement to AI regulation, Brookings, https://www.brookings.edu/articles/soft-law-as-a-complement-to-ai-regulation/ (last visited Aug 10, 2023). [20] supra, note 5. [21] Gary Marchant, “Soft Law” Governance of Artificial Intelligence (2019), https://escholarship.org/uc/item/0jq252ks (last visited Aug 10, 2023). [22] How soft law is used in AI governance, Brookings,https://www.brookings.edu/articles/how-soft-law-is-used-in-ai-governance/ (last visited Aug 10, 2023). [23] supra, note 13, at 27. [24] Why Soft Law is the Best Way to Approach the Pacing Problem in AI, Carnegie Council for Ethics in International Affairs,https://www.carnegiecouncil.org/media/article/why-soft-law-is-the-best-way-to-approach-the-pacing-problem-in-ai (last visited Aug 10, 2023). [25] id. [26] id. [27] Singapore is not looking to regulate A.I. just yet, says the city-state’s authority, CNBC,https://www.cnbc.com/2023/06/19/singapore-is-not-looking-to-regulate-ai-just-yet-says-the-city-state.html#:~:text=Singapore%20is%20not%20rushing%20to,Media%20Development%20Authority%2C%20told%20CNBC (last visited Aug 10, 2023). [28] id. [29] Japan leaning toward softer AI rules than EU, official close to deliberations says, Reuters, https://www.reuters.com/technology/japan-leaning-toward-softer-ai-rules-than-eu-source-2023-07-03/ (last visited Aug 10, 2023). [30] id. [31] id. [32] id.

Introduction to Taiwan’s Guidelines for Implementing Decentralized Elements in Medicinal Product Clinical Trials

Introduction to Taiwan’s Guidelines for Implementing Decentralized Elements in Medicinal Product Clinical Trials 2023/12/15 The development of digital tools such as the internet, apps, and wearable devices have meant major breakthroughs for clinical trials. These advances have the potential to reduce the frequency of trial subject visits, accelerate research timelines, and lower the costs of drug development. The COVID-19 pandemic has further accelerated the use of digital tools, prompting many countries to adopt decentralized measures that enable trial subjects to participate in clinical trials regardless of their physical location. In step with the transition into the post-pandemic era, the Taiwan Food and Drug Administration (TFDA) issued the Guidelines for Implementing Decentralized Elements in Medicinal Product Clinical Trials in June, 2023[1]. The Guidelines are intended to cover a wide array of decentralized measures; they aim to increase trial subjects’ willingness to participate in trials, reduce the need for in-person visits to clinical trial sites, enhance real-time data acquisition during trials, and enable clinic sponsors and contract research organizations to process data remotely. I. Key Points of Taiwan’s Guidelines for Implementing Decentralized Elements in Medicinal Product Clinical Trials The Guidelines cover primarily the following matters: General considerations for implementing decentralized measures; trial subject recruitment and electronic informed consent; delivery and provision of investigational medicinal products; remote monitoring of trial subject safety; trial subject reporting of adverse events; remote data monitoring; and information systems and electronic data collection/processing/storage. 1. General Considerations for Implementing Decentralized Measures (1) During clinical trial execution, a reduction in trial subject in-person visits may present challenges to medical observation. It is recommended that home visits for any given trial subject be conducted by the principal investigator, sub-investigator, or a single, consistent delegated study nurse. (2) Sponsors must carefully evaluate all of the trial design’s decentralization measures to ensure data integrity. (3) Sponsors must conduct risk assessments for each individual trial, and must confirm the rationality of choosing decentralized measures. These decentralized measures must also be incorporated into the protocol. (4) When electronically collecting data, sponsors must ensure information system reliability and data security. Artificial intelligence may be considered for use in decentralized clinical trials; sponsors must carefully evaluate such systems, especially when they touch on determinations for critical data or strategies. (5) As the design of decentralized clinical trials is to ensure equal access to healthcare services, it must provide patients with a variety of ways to participate in clinical trials. (6) When implementing any decentralized measures, it is essential to ensure that the principal investigator and sponsor adhere to the Regulations for Good Clinical Practice and bear their respective responsibilities for the trial. (7) The use of decentralized measures must be stated in the regulatory application, and the Checklist of Decentralized Elements in Medicinal Product Clinical Trials must be included in the submission. 2. Subject Recruitment and Electronic Informed Consent (1) Trial subject recruitment through social media or established databases may only be implemented after the Institutional Review Board reviews and approves of the recruitment methods and content. (2) Must comply with the Principles for Recruiting Clinical Trial Subjects in medicinal product trials, the Personal Data Protection Act, and other regulations. (3) Regarding clinical trial subject informed consent done through digital software or devices, if it complies with Article 4, Paragraph 2 of the Electronic Signatures Act, that is, if the content can be displayed in its entirety and continues to be accessible for subsequent reference, then so long as the trial subject agrees to do so, the signature may be done via a tablet or other electronic device. The storage of signed electronic Informed Consent Forms (eICF) must align with the aforementioned Principles and meet the competent authority’s access requirements. 3. Delivery and Provision of Investigational Medicinal Products (1) The method of delivering and providing investigational medicinal products and whether trial subjects can use them on their own at home depends to a high degree on the investigational medicinal product’s administration route and safety profile. (2) When investigational medicinal products are delivered and provided through decentralized measures to trial subjects, this must be documented in the protocol. The process of delivering and providing said products must also be clearly stated in the informed consent form; only after being explained to a trial subject by the trial team, and after the trial subject’s consent is obtained, may such decentralized measures be used. (3) Investigational products prescribed by the principal investigator/sub-investigator must be reviewed by a delegated pharmacist to confirm that the investigational products’ specific items, dosage, duration, total quantity, and labeling align with the trial design. The pharmacist must also review each trial subject’s medication history, to ensure there are no medication-related issues; only then, and only in a manner that ensures the investigational product’s quality and the subject’s privacy, may delegated and specifically-trained trial personnel provide the investigational product to the subject. (4) Compliance with relevant regulations such as the Pharmaceutical Affairs Act, Pharmacists Act, Regulations on Good Practices for Drug Dispensation, and Regulations for Good Clinical Practice is required. 4. Remote Monitoring of Subject Safety (1) Decentralized trial designs involve trial subjects performing relatively large numbers of trial-related procedures at home. The principal investigator must delegate trained, qualified personnel to perform tasks such as collecting blood samples, administering investigational products, conducting safety monitoring, doing adverse event tracking, etc. (2) If trial subjects receive protocol-prescribed testing at nearby medical facilities or laboratories rather than at the original trial site, these locations must be authorized by the trial sponsor and must have relevant laboratory certification; only then may they collect or analyze samples. Such locations must provide detailed records to the principal investigator, to be archived in the trial master file. (3) The trial protocol and schedule must clearly specify which visits must be conducted at the trial site; which can be conducted via phone calls, video calls, or home visits; which tests must be performed at nearby laboratories; and whether trial subjects have multiple or single options at each visit. 5. Subject Reporting of Adverse Events (1) If the trial uses a digital platform to enhance adverse event reporting, trial subjects must be able to report adverse events through the digital platform, such as via a mobile phone app; that is, the principal investigator must be able to immediately access such adverse event information. (2) The principal investigator must handle such reports using risk-based assessment methods. The principal investigator must validate the adverse event reporting platform’s effectiveness, and must develop procedures to identify potential duplicate reports. 6. Remote Data Monitoring (1) If a sponsor chooses to implement remote monitoring, it must perform a reasonability assessment to confirm the appropriateness of such monitoring and establish a remote monitoring plan. (2) The monitoring plan must include monitoring strategies, monitoring personnel responsibilities, monitoring methods, rationale for such implementation, and critical data and processes that must be monitored. It must also generate comprehensive monitoring reports for audit purposes. (3) The sponsor is responsible for ensuring the implementation of remote monitoring, and must conduct risk assessments regarding the implementation process’ data protection and information confidentiality. 7. Information Systems and Electronic Data Collection, Processing, and Storage (1) In accordance with the Regulations for Good Clinical Practice, data recorded in clinical trials must be trustworthy, reliable, and verifiable. (2) It must be ensured that all organizations participating in the clinical trial have a full picture of the data flow. It is recommended that the trial protocol and trial-related documents include data flow diagrams and additional explanations. (3) Define the types and scopes of subject personal data that will be collected, and ensure that every step in the process properly protects their data in accordance with the Personal Data Protection Act. II. A Comparison with Decentralized Trial Regulations in Other Countries Denmark became the first country in the world to release regulatory measures on decentralized trials, issuing the “Danish Medicines Agency’s Guidance on the Implementation of Decentralized Elements in Clinical Trials with Medicinal Products” in September 2021[2]. In December 2022, the European Union as a whole released its “Recommendation Paper on Decentralized Elements in Clinical Trials”[3]. The United States issued the draft “Decentralized Clinical Trials for Drugs, Biological Products, and Devices” document in May 2023[4]. The comparison in Table 1 shows that Taiwan’s guidelines a relatively similar in structure to those of Denmark and the EU; the US guidelines also cover medical device clinical trials. Table 1: Summary of Decentralized Clinical Trial Guidelines in Taiwan, Denmark, the European Union as a whole, and the United States Taiwan Denmark European Union as a whole United States What do the guidelines apply to? Medicinal products Medicinal products Medicinal products Medicinal products and medical devices Trial subject recruitment and electronic informed consent Covers informed consent process; informed consent interview; digital information sheet; trial subject consent form signing; etc. Covers informed consent process; informed consent interview; trial subject consent form signing; etc. Covers informed consent process; informed consent interview; digital information sheet; trial subject consent form signing; etc. Covers informed consent process; informed consent interview; etc. Delivery and provision of investigational medicinal products Delegated, specifically-trained trial personnel deliver and provide investigational medicinal products. The investigator or delegated personnel deliver and provide investigational medicinal products. The investigator, delegated personnel, or a third-party, Good Distribution Practice-compliant logistics provider deliver and provide investigational medicinal products. The principal investigator, delegated personnel, or a distributor deliver and provide investigational products. Remote monitoring of trial subject safety Trial subjects may do return visits at trial sites, via phone calls, via video calls, or via home visits, and may undergo testing at nearby laboratories. Trial subjects may do return visits at trial sites, via phone calls, via video calls, or via home visits, and may undergo testing at nearby laboratories. Trial subjects may do return visits at trial sites, via phone calls, via video calls, or via home visits. Trial subjects may do return visits at trial sites, via phone calls, via video calls, or via home visits, and may undergo testing at nearby laboratories. Trial subject reporting of adverse events Trial subjects may self-report adverse events through a digital platform. Trial subjects may self-report adverse events through a digital platform. Trial subjects may self-report adverse events through a digital platform. Trial subjects may self-report adverse events through a digital platform. Remote data monitoring The sponsor may conduct remote data monitoring. The sponsor may conduct remote data monitoring. The sponsor may conduct remote data monitoring (not permitted in some countries). The sponsor may conduct remote data monitoring. Information systems and electronic data collection, processing, and storage The recorded data must be credible, reliable, and verifiable. Requires an information system that is validated, secure, and user-friendly. The recorded data must be credible, reliable, and verifiable. Must ensure data reliability, security, privacy, and confidentiality. III. Conclusion The implementation of decentralized clinical trials must be approached with careful assessment of risks and rationality, with trial subject safety, rights, and well-being as top priorities. Since Taiwan’s Guidelines for Implementing Decentralized Elements in Medicinal Product Clinical Trials were just announced in June of this year, the status of decentralized clinical trial implementation is still pending industry feedback to confirm feasibility. The overall goal is to enhance and optimize the clinical trial environment in Taiwan. Reference: [1] 衛生福利部食品藥物管理署，〈藥品臨床試驗執行分散式措施指引〉，2023/6/12，https://www.fda.gov.tw/TC/siteListContent.aspx?sid=9354&id=43548（最後瀏覽日：2023/11/2）。 [2] [DMA] DANISH MEDICINES AGENCY, The Danish Medicines Agency’s guidance on the Implementation of decentralised elements in clinical trials with medicinal products (2021),https://laegemiddelstyrelsen.dk/en/news/2021/guidance-on-the-implementation-of-decentralised-elements-in-clinical-trials-with-medicinal-products-is-now-available/ (last visited Nov. 2, 2023). [3] [HMA] HEADS OF MEDICINES AGENCIES, [EC] EUROPEAN COMMISSION & [EMA] EUROPEAN MEDICINES AGENCY, Recommendation paper on decentralised elements in clinical trials (2022),https://health.ec.europa.eu/latest-updates/recommendation-paper-decentralised-elements-clinical-trials-2022-12-14_en (last visited Nov. 2, 2023). [4] [US FDA] US FOOD AND DRUG ADMINISTRATION, Decentralized Clinical Trials for Drugs, Biological Products, and Devices (draft, 2023),https://www.fda.gov/regulatory-information/search-fda-guidance-documents/decentralized-clinical-trials-drugs-biological-products-and-devices (last visited Nov. 2, 2023).

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