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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Executive Yuan roll-out The Policy of “The Free Economic Pilot Zones”

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Blockchain and General Data Protection Regulation (GDPR) compliance issues (2019)

Blockchain and General Data Protection Regulation (GDPR) compliance issues (2019) I. Brief   Blockchain technology can solve the problem of trust between data demanders and data providers. In other words, in a centralized mode, data demanders can only choose to believe that the centralized platform will not contain the false information. However, in the decentralized mode, data isn’t controlled by one individual group or organization[1], data demanders can directly verify information such as data source, time, and authorization on the blockchain without worrying about the correctness and authenticity of the data.   Take the “immutable” for example, it is conflict with the right to erase (also known as the right to be forgotten) in the GDPR.With encryption and one-time pad (OTP) technology, data subjects can make data off-chain storaged or modified at any time in a decentralized platform, so the problem that data on blockchain not meet the GDPR regulation has gradually faded away. II. What is GDPR?   The purpose of the EU GDPR is to protect user’s data and to prevent large-scale online platforms or large enterprises from collecting or using user’s data without their permission. Violators will be punished by the EU with up to 20 million Euros (equal to 700 million NT dollars) or 4% of the worldwide annual revenue of the prior financial year.   The aim is to promote free movement of personal data within the European Union, while maintaining adequate level of data protection. It is a technology-neutral law, any type of technology which is for processing personal data is applicable.   So problem about whether the data on blockchain fits GDPR regulation has raise. Since the blockchain is decentralized, one of the original design goals is to avoid a large amount of centralized data being abused.   Blockchain can be divided into permissioned blockchains and permissionless blockchains. The former can also be called “private chains” or “alliance chains” or “enterprise chains”, that means no one can join the blockchain without consent. The latter can also be called “public chains”, which means that anyone can participate on chain without obtaining consent.   Sometimes, private chain is not completely decentralized. The demand for the use of blockchain has developed a hybrid of two types of blockchain, called “alliance chain”, which not only maintains the privacy of the private chain, but also maintains the characteristics of public chains. The information on the alliance chain will be open and transparent, and it is in conflict with the application of GDPR. III. How to GDPR apply to blockchain ?   First, it should be determined whether the data on the blockchain is personal data protected by GDPR. Second, what is the relationship and respective responsibilities of the data subject, data controller, and data processor? Finally, we discuss the common technical characteristics of blockchain and how it is applicable to GDPR. 1. Data on the blockchain is personal data protected by GDPR?   First of all, starting from the technical characteristics of the blockchain, blockchain technology is commonly decentralized, anonymous, immutable, trackable and encrypted. The other five major characteristics are immutability, authenticity, transparency, uniqueness, and collective consensus.   Further, the blockchain is an open, decentralized ledger technology that can effectively verify and permanently store transactions between two parties, and can be proved.   It is a distributed database, all users on the chain can access to the database and the history record, also can directly verify transaction records. Each nodes use peer-to-peer transmission for upload or transfer information without third-party intermediation, which is the unique “decentralization” feature of the blockchain.   In addition, the node or any user on the chain has a unique and identifiable set of more than 30 alphanumeric addresses, but the user may choose to be anonymous or provide identification, which is also a feature of transparency with pseudonymity[2]; Data on blockchain is irreversibility of records. Once the transaction is recorded and updated on the chain, it is difficult to change and is permanently stored in the database, that is to say, it has the characteristics of “tamper-resistance”[3].   According to Article 4 (1) of the GDPR, “personal data” means any information relating to an identified or identifiable natural person (‘data subject’); an identifiable natural person is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that natural person.   Therefore, if data subject cannot be identified by the personal data on the blockchain, that is an anonymous data, excluding the application of GDPR. (1) What is Anonymization?   According to Opinion 05/2014 on Anonymization Techniques by Article 29 Data Protection Working Party of the European Union, “anonymization” is a technique applied to personal data in order to achieve irreversible de-identification[4].   And it also said the “Hash function” of blockchain is a pseudonymization technology, the personal data is possible to be re-identified. Therefore it’s not an “anonymization”, the data on the blockchain may still be the personal data stipulated by the GDPR.   As the blockchain evolves, it will be possible to develop technologies that are not regulated by GDPR, such as part of the encryption process, which will be able to pass the court or European data protection authorities requirement of anonymization. There are also many compliance solutions which use technical in the industry, such as avoiding transaction data stored directly on the chain. 2. International data transmission   Furthermore, in accordance with Article 3 of the GDPR, “This Regulation applies to the processing of personal data in the context of the activities of an establishment of a controller or a processor in the Union, regardless of whether the processing takes place in the Union or not. This Regulation applies to the processing of personal data of data subjects who are in the Union by a controller or processor not established in the Union, where the processing activities are related to: (a) the offering of goods or services, irrespective of whether a payment of the data subject is required, to such data subjects in the Union; or (b) the monitoring of their behaviour as far as their behaviour takes place within the Union”.[5]   In other words, GDPR applies only when the data on the blockchain is not anonymized, and involves the processing of personal data of EU citizens. 3. Identification of data controllers and data processors   Therefore, if the encryption technology involves the public storage of EU citizens' personal data and passes it to a third-party controller, it may be identified as the “data controller” under Article 4 of GDPR, and all nodes and miners of the platform may be deemed as the “co-controller” of the data, and be assumed joint responsibility with the data controller by GDPR. For example, the parties can claim the right to delete data from the data controller.   In addition, a blockchain operator may be identified as a “processor”, for example, Backend as a Service (BaaS) products, the third parties provide network infrastructure for users, and let users manage and store personal data. Such Cloud Services Companies provide online services on behalf of customers, do not act as “data controllers”. Some commentators believe that in the case of private chains or alliance chains, such as land records transmission, inter-bank customer information sharing, etc., compared to public chain applications: such as cryptocurrencies (Bitcoin for example), is not completely decentralized, and more likely to meet GDPR requirements[6]. For example, in the case of a private chain or alliance chain, it is a closed platform, which contains only a small number of trusted nodes, is more effective in complying with the GDPR rules. 4. Data subject claims   In accordance with Article 17 of the GDPR, The data subject shall have the right to obtain from the controller the erasure of personal data concerning him or her without undue delay and the controller shall have the obligation to erase personal data without undue delay under some grounds.   Off-chain storage technology can help the blockchain industry comply with GDPR rules, allowing offline storage of personal data, or allow trusted nodes to delete the private key of encrypted information, which leaving data that cannot be read and identified on the chain. If the data is in accordance with the definition of anonymization by GDPR, there is no room for GDPR to be applied. IV. Conclusion   In summary, it’s seem that the application of blockchain to GDPR may include: (a) being difficulty to identified the data controllers and data processors after the data subject upload their data. (b) the nature of decentralized storage is transnational storage, and Whether the country where the node is located, is meets the “adequacy decision” of Article 45 of the GDPR.   If it cannot be met, then it needs to consider whether it conforms to the transfers subject to appropriate safeguards of Article 46, or the derogations for specific situations of Article 49 of the GDPR. Reference: [1] How to Trade Cryptocurrency: A Guide for (Future) Millionaires, https://wikijob.com/trading/cryptocurrency/how-to-trade-cryptocurrency [2] DONNA K. HAMMAKER, HEALTH RECORDS AND THE LAW 392 (5TH ED. 2018). [3] Iansiti, Marco, and Karim R. Lakhani, The Truth about Blockchain, Harvard Business Review 95, no. 1 (January-February 2017): 118-125, available at https://hbr.org/2017/01/the-truth-about-blockchain [4] Article 29 Data Protection Working Party, Opinion 05/2014 on Anonymisation Techniques (2014), https://www.pdpjournals.com/docs/88197.pdf [5] Directive 95/46/EC (General Data Protection Regulation), https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:32016R0679&from=EN [6] Queen Mary University of London, Are blockchains compatible with data privacy law? https://www.qmul.ac.uk/media/news/2018/hss/are-blockchains-compatible-with-data-privacy-law.html

A Before and After Impact Comparison of Applying Statute for Industrial Innovation Article 23-1 Draft on Venture Capital Limited Partnerships

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These two taxation methods may have different names, but their core ideas are to pass the profits of a limited partnership to the earnings of partners.[4] However, following the adoption of the Limited Partnership Act in Taiwan, the Ministry of Finance issued an interpretation letter stating that because the current legal system confers an independent legal entity status to the business structure of a limited partnership, it should be treated as a profit-seeking business and taxed with Profit-Seeking Enterprise Income Tax.[5] Therefore, to actualize the legislative objective of encouraging innovative businesses organized under tenets of the Limited Partnership Act, the Executive Yuan presented a draft amendment for Article 23-1 of the Statute for Industrial Innovation (hereinafter referred to as the Draft), introducing the "Pass Through Taxation Principle" as adopted by several foreign countries. That is, a Limited Partnership will not be levied with the Profit-Seeking Enterprise Income Tax, but each partner will file income tax reports based on after-profit-gains from the partnership that are passed through to each partner. It is expected that the venture capital industry will now be encouraged to adopt the limited partnership structure, and thus increase investment capital in new ventures. II. The Pass Through Taxation Method is Applicable to Newly Established Venture Capital Limited Partnerships 1. The Requirements and Effects   (1) The Requirements   According to the provisions of Article 23-1 Paragraph 3 of the Draft, to be eligible for Pass Through Taxation, newly established venture capital limited partnerships must meet the following requirements: 1. The venture capital limited partnerships are established between January 1, 2017 and December 31, 2019. 2. Investment threshold of the total agreed capital contribution, total received capital contribution, and accumulated total capital contribution, within five years of the establishment of venture capital limited partnerships: Total Agreed Capital Contribution in the Limited Partnership Agreement Total Received Capital Contribution Accumulated Investment Amount for Start-up Companies The Year of Establishment 3 hundred million ✕ ✕ The Second Year ✕ ✕ The Third Year 1 hundred million ✕ The Fourth Year 2 hundred million Reaching 30 percent of the total received capital contribution of the year or 3 hundred million NT dollars. The Fifth Year 3 hundred million 3. The total amount, that an overseas company applies in capital and investments in actual business operations in Taiwan, reaches 50% of its total received capital contribution of that year. 4. In compliance with government policies. 5. Reviewed and approved by the central competent authority each year.   (2) The Effects   The effects of applying the provisions of Article 23-1 Paragraph 3 of the Draft are as follows: 1. Venture capital limited partnerships are exempt from the Profit-Seeking Enterprise Income Tax. 2. Taxation method for partners in a limited partnership after obtaining profit gains: (1) Pursuant to the Income Tax Act, Individual partners and for-profit business partners are taxed on their proportionally-calculated, distributed earnings. (2) Individual partners and foreign for-profit business partners are exempt from income tax on the stock earnings distributed by a limited partnership. 2. Benefit Analysis Before and After Applying Pass Through Taxation Method   A domestic individual A, a domestic profit-making business B, and a foreign profit-making business C jointly form a venture capital limited partnership, One. The earnings distribution of the company One is 10%, 80% and 10% for A, B, and C partners, respectively. The calculated earnings of company One are one million (where eight hundred thousand are stock earnings, and two hundred thousand are non-stock earnings). How much income tax should be paid by the company One, and partners A, B, and C?   (1) Pursuant to the Income Tax Act, before the amended draft: 1. One Venture Capital Limited Partnership Should pay Profit-Seeking Enterprise Income Tax = (NT$1,000,000 (earning) - NT$500,000[6])x12% (tax rate[7])=NT$60,000 2. Domestic Individual A Should file a comprehensive income report with business profit income =(NT$1,000,000-NT$60,000) x 10% (company One draft a voucher for net amount for A) + NT$60,000÷2×10% (deductible tax rate)= NT$97,000 Tax payable on profit earnings=NT$91,500×5%(tax rate)=NT$4,850 Actual income tax paid=NT$4,850 - NT$60,000÷2×10% (deductible tax rate) =NT$1,485 3. Domestic For-Profit Business B Pursuant to the provisions of Article 42 of the Income Tax Act, the net dividend or net income received by a profit-seeking company is not included in the income tax calculation. 4. Foreign For-Profit Business C Tax paid at its earning source=(NT$1,000,000 - NT$60,000) ×10% (earning distribution rate) ×20% (tax rate at earning source)=NT$18,800   (2) Applying Pass Through Taxation Method After Enacting the Amendment 1. One Venture Capital Limited Partnership No income tax. 2. Domestic Individual A Should pay tax=NT$800,000 (non-stock distributed earnings)×10% (earning distribution rate)×5% (comprehensive income tax rate)=NT$1,000 3. Domestic For-Profit Business B Pursuant to the provisions of Article 42 of the Income Tax Act, the net dividend or net income received by a profit-seeking company is not included in the income tax calculation. 4. Foreign For-Profit Business C Tax paid at its earning source=NT$800,000 (non-stock distributed earnings)×10%(earning distribution rate)×20% (tax rate at earning source)=NT$4,000   The aforementioned example shows that under the situation, where the earning distribution is the same and tax rate for the same taxation subject is the same, the newly-established venture capital limited partnerships and their shareholders enjoy a more favorable tax benefit with the adoption of pass through taxation method: Before the Amendment After the Amendment Venture Capital Limited Partnership NT$60,000 Excluded in calculation Shareholders Domestic Individual NT$1,850 NT$1,000 Domestic For-Profit Business Excluded in calculation Excluded in calculation Foreign For-Profit Business NT$18,800 NT$4,000 Sub-total NT$80,650 NT$5,000 III. Conclusion   Compared to the corporate taxation, the application of the pass through taxation method allows for a significant reduction in tax burden. While developing Taiwan’s pass through tax scheme, the government referenced corporate taxation under the U.S. Internal Revenue Code (IRC), where companies that meet the conditions of Chapter S can adopt the “pass through” method, that is, pass the earnings to the owner, with the income of shareholders being the objects of taxation;[8] and studied the "Transparenzprinzip" adopted by the German taxation board for partnership style for-profit businesses. Following these legislative examples, where profits are identified as belonging to organization members,[9] the government legislation includes the adoption of the pass through taxation scheme for venture capital limited partnerships in the amended draft of Article 23-1 of the Statute for Industrial Innovation, so that the legislation is up to international standards and norms, while making an important breakthrough in the current income tax system. This is truly worthy of praise. [1] The Legislative Yuan Gazette, Vol. 104, No. 51, page 325. URL:http://misq.ly.gov.tw/MISQ//IQuery/misq5000Action.action [2] A View on the Limited Partnership in Taiwan, Cross-Strait Law Review, No. 54, Liao, Da-Ying, Page 42. [3] Ministry of Economic Affairs - Limited Partnership Registration Information URL: http://gcis.nat.gov.tw/lmpub/lms/dir.jsp?showgcislocation=true&agencycode=allbf [4] Same as annotate 2, pages 51-52. [5] Reference Letter of Interpretation dated December 18, 2015, Tai-Cai-Shui Zi No. 10400636640, the Ministry of Finance [6] First half of Paragraph 1 of Article 8 of the Income Basic Tax Act [7] Second half of Paragraph 1 of Article 8 of the Income Basic Tax Act [8] A Study on the Limited Partnership Act, Master’s degree thesis, College of Law, Soochow University, Wu, Tsung-Yeh, pages 95-96. [9] Reference annotate 2, pages 52.

Taiwan Recent Regulatory Development- Promoting Biotech and New Pharmaceuticals Industry

Over the past twenty years, the Government has sought to cultivate the biopharmaceutical industry as one of the future major industry in Taiwan. Back in 1982, the Government has begun to regard biotechnology as a key technology in Technology Development Program, demonstrated that biotechnology is a vital technology in pursuit of future economic growth. Subsequently, the Government initiated national programs that incorporated biotechnology as a blueprint for future industrial development. In order to enhance our competitiveness and building an initial framework for the industry, The Executive Yuan has passed the Biotechnology Industry Promotion Plan. As the Government seeks to create future engines of growth by building an environment conducive for enterprise development, the Plan has been amended four times, and implemented measures focused on the following six areas: related law and regulations, R&D and applications, technology transfer and commercialization, personnel training, investment promotion and coordination, marketing information and marketing service. In 2002, the Executive Yuan approved the Challenge 2008, a six-year national development plan, pointing out biotechnology industry as one of the Two Trillion, Twin Stars industries. The Government planned for future economic growth by benefiting through the attributes of the biotechnology: high-tech, high-reward and less pollution. Thus, since 1997 the Strategic Review Board (SRB) under the Executive Yuan Science and Technology Advisory Panel has taken action in coordinating government policies with industry comments to form a sound policy for the biotechnology industry. Additionally, a well-established legal system for sufficient protection of intellectual property rights is the perquisite for building the industry, as the Government recognized the significance through amending and executing related laws and regulations. By stipulating data exclusivity and experimental use exception in the Pharmaceutical Affair Act, tax benefits provided in Statute for Upgrading Industries , Incentives for Production and R&D of Rare Disease Medicine, Incentives for Medical Technology Research and Development, provide funding measures in the Guidance of Reviewing Programs for Promoting Biotechnology Investment. Clearly, the government has great expectation for the industry through establishing a favorable environment by carrying out these policies and revising outdated regulations. Thus, the Legislative Yuan has passed the “Act for The Development of Biotechnology and New Pharmaceuticals Industry” in June, 2007, and immediately took effect in July. The relevant laws and regulations became effective as well, driving the industry in conducting researches on new drugs and manufacturing new products, increasing sales and expanding the industry to meet an international level. For a biopharmaceutical industry that requires long-term investment and costly R&D, incentive measures is vital to the industry’s survival before the product launches the market. Accordingly, this article will be introducing the recent important regulation that supports the biopharmaceutical industry in Taiwan, and analyzing the government’s policies. Biotechnology is increasingly gaining global attention for its potential in building future economic growth and generating significant profits. In an effort to support the biotechnology industry in Taiwan, the Government has made a step forward by enacting the “Act for the Development of Biotech and New Pharmaceutical Industry”. The biopharmaceutical industry is characterized as high-risk and high-reward, strong government support and a well-developed legal system plays a vital role from its establishment throughout the long term development. Therefore, the Act was enacted tailor to the Biotech and New Pharmaceutical Industry, primarily focuses on tax benefits, R&D activities, personnel recruitment and investment funding, in support of start-up companies and attracting a strong flow of funding worldwide. To pave the way for promoting the biopharmaceutical industry and the Biotech and New Pharmaceutical Company, here the article will be introducing the incentive measures provided in the Act, and supporting development of the industry, demonstrating the efforts made by the Government to build a “Bio-tech Island”. Reference “Act for Development of Biotech and New Pharmaceutical Industry”, webpage of Law and Regulations Database of the Republic of China. 4 July, 2007. Ministry of Justice, Taiwan. 5 Nov. 2008 http://law.moj.gov.tw/Eng/Fnews/FnewsContent.asp?msgid=3180&msgType=en&keyword=undefined

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