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.
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.
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.
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.
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.
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).
The Study of Estonian Human Genes DatabaseI. Introduction The human genes database or human genome project, the product under the policy of biotechnology no matter in a developed or developing country, has been paid more attention by a government and an ordinary people gradually. The construction of human genes database or human genome project, which is not only related to a country’s innovation on biotechnology, but also concerns the promotion of a country’s medical quality, the construction of medical care system, and the advantages brought by the usage of bio-information stored in human genes database or from human genome project. However, even though every country has a high interest in setting up human genes database or performing human genome project, the issues concerning the purposes of related biotechnology policies, the distribution of advantages and risks and the management of bio-information, since each country has different recognition upon human genes database or human genome project and has varied standards of protecting human basic rights, there would be a totally difference upon planning biotechnology policies or forming the related systems. Right now, the countries that vigorously discuss human genes database or practice human genome project include England, Iceland, Norway, Sweden, Latvia and Estonia. Estonia, which is the country around the Baltic Sea, has planned to set up its own human genes database in order to draw attention from other advanced countries, to attract intelligent international researchers or research groups, and to be in the lead in the area of biotechnology. To sum up, the purpose of constructing Estonian human genes database was to collect the genes and health information of nearly 70% Estonia’s population and to encourage bio-research and promote medical quality. II. The Origin of Estonian Human Genes Database The construction of Estonian human genes database started from Estonian Genome Project (EGP). This project was advocated by the professor of biotechnology Andres Metspalu at Tartu University in Estonia, and he proposed the idea of setting up Estonian human genes database in 1999. The purposes of EGP not only tried to make the economy of Estonia shift from low-cost manufacturing and heavy industry to an advanced technological economy, but also attempted to draw other countries’ attention and to increase the opportunity of making international bio-researches, and then promoted the development of biotechnology and assisted in building the system of medical care in Estonia. EGP started from the agreement made between Estonian government and Eesti Geenikeskus (Estonian Genome Foundation) in March, 1999. Estonian Genome Foundation was a non-profit organization formed by Estonian scientists, doctors and politicians, and its original purposes were to support genes researches, assist in proceeding any project of biotechnology and to set up EGP. The original goals of constructing EGP were “(a) reaching a new level in health care, reduction of costs, and more effective health care, (b) improving knowledge of individuals, genotype-based risk assessment and preventive medicine, and helping the next generation, (c) increasing competitiveness of Estonia – developing infrastructure, investments into high-technology, well-paid jobs, and science intensive products and services, (d) [constructing] better management of health databases (phenotype/genotype database), (e) … [supporting]… economic development through improving gene technology that opens cooperation possibilities and creates synergy between different fields (e.g., gene technology, IT, agriculture, health care)”1. III. The Way of Constructing Estonian Human Genes Database In order to ensure that Estonian human genes database could be operated properly and reasonably in the perspectives of law, ethics and society in Estonia, the Estonian parliament followed the step of Iceland to enact “Human Genes Research Act” (HGRA) via a special legislative process to regulate its human genes database in 2000. HGRA not only authorizes the chief processor to manage Estonian human genes database, but also regulates the issues with regard to the procedure of donation, the maintenance and building of human genes database, the organization of making researches, the confidential identity of donator or patient, the discrimination of genes, and so on. Since the construction of Estonian human genes database might bring the conflicts of different points of view upon the database in Estonia, in order to “avoid fragmentation of societal solidarity and ensure public acceptability and respectability”2 , HGRA adopted international standards regulating a genes research to be a norm of maintaining and building the database. Those standards include UNESCO Universal Declaration on the Human Genome and Human Rights (1997) and the Council of Europe’s Convention on Human Rights and Biomedicine (1997). The purpose of enacting HGRA is mainly to encourage and promote genes researches in Estonia via building Estonian human genes database. By means of utilizing the bio-information stored in the database, it can generate “more exact and efficient drug development, new diagnostic tests, improved individualized treatment and determination of risks of the development of a disease in the future”3 . In order to achieve the above objectives, HGRA primarily puts emphasis on several aspects. Those aspects include providing stronger protection on confidential identity of donators or patients, caring for their privacy, ensuring their autonomy to make donations, and avoiding any possibility that discrimination may happen because of the disclosure of donators’ or patients’ genes information. 1.HERBERT GOTTWEIS & ALAN PETERSEN, BIOBANKS – GOVERNANCE IN COMPARATIVE PERSPECTIVE 59 (2008). 2.Andres Rannamae, Populations and Genetics – Legal and Socio-Ethical Perspectives, in Estonian Genome Porject – Large Scale Health Status Description and DNA Collection 18, 21 (Bartha Maria Knoppers et al. eds., 2003. 3.REMIGIUS N. NWABUEZE, BIOTECHNOLOGY AND THE CHALLENGE OF PROPERTY – PROPERTY RIGHTS IN DEAD BODIES, BODY PARTS, AND GENETIC INFORMATION, 163 (2007).
The Key Elements for Data Intermediaries to Deliver Their PromiseThe Key Elements for Data Intermediaries to Deliver Their Promise 2022/12/13 As human history enters the era of data economy, data has become the new oil. It feeds artificial intelligence algorithms that are disrupting how advertising, healthcare, transportation, insurance, and many other industries work. The excitement of having data as a key production input lies in the fact that it is a non-rivalrous good that does not diminish by consumption.[1] However, the fact that people are reluctant in sharing data due to privacy and trade secrets considerations has been preventing countries to realize the full value of data. [2] To release more data, policymakers and researchers have been exploring ways to overcome the trust dilemma. Of all the discussions, data intermediaries have become a major solution that governments are turning to. This article gives an overview of relevant policy developments concerning data intermediaries and a preliminary analysis of the key elements that policymakers should consider for data intermediaries to function well. I. Policy and Legal developments concerning data intermediaries In order to unlock data’s full value, many countries have started to focus on data intermediaries. For example, in 2021, the UK’s Department for Digital, Culture, Media and Sport (DCMS) commissioned the Centre for Data Ethics and Innovation (CDEI) to publish a report on data intermediaries[3] , in response to the 2020 National Data Strategy.[4] In 2020, the European Commission published its draft Data Governance Act (DGA)[5] , which aims to build up trust in data intermediaries and data altruism organizations, in response to the 2020 European Strategy for Data.[6] The act was adopted and approved in mid-2022 by the Parliament and Council; and will apply from 24 September 2023.[7] The Japanese government has also promoted the establishment of data intermediaries since 2019, publishing guidance to establish regulations on data trust and data banks.[8] II. Key considerations for designing effective data intermediary policy 1.Evaluate which type of data intermediary works best in the targeted country From CDEI’s report on data intermediaries and the confusion in DGA’s various versions of data intermediary’s definition, one could tell that there are many forms of data intermediaries. In fact, there are at least eight types of data intermediaries, including personal information management systems (PIMS), data custodians, data exchanges, industrial data platforms, data collaboratives, trusted third parties, data cooperatives, and data trusts.[9] Each type of data intermediary was designed to combat data-sharing issues in specific countries, cultures, and scenarios. Hence, policymakers need to evaluate which type of data intermediary is more suitable for their society and market culture, before investing more resources to promote them. For example, data trust came from the concept of trust—a trustee managing a trustor’s property rights on behalf of his interest. This practice emerged in the middle ages in England and has since developed into case law.[10] Thus, the idea of data trust is easily understood and trusted by the British people and companies. As a result, British people are more willing to believe that data trusts will manage their data on their behalf in their best interest and share their valuable data, compared to countries without a strong legal history of trusts. With more people sharing their data, trusts would have more bargaining power to negotiate contract terms that are more beneficial to data subjects than what individual data owners could have achieved. However, this model would not necessarily work for other countries without a strong foundation of trust law. 2.Quality signals required to build trust: A government certificate system can help overcome the lemon market problem The basis of trust in data intermediaries depends largely on whether the service provider is really neutral in its actions and does not reuse or sell off other parties’ data in secret. However, without a suitable way to signal their service quality, the market would end up with less high-quality service, as consumers would be reluctant to pay for higher-priced service that is more secure and trustworthy when they have no means to verify the exact quality.[11] This lemon market problem could only be solved by a certificate system established by actors that consumers trust, which in most cases is the government. The EU government clearly grasped this issue as a major obstacle to the encouragement of trust in data intermediaries and thus tackles it with a government register and verification system. According to the Data Government Act, data intermediation services providers who intend to provide services are required to notify the competent authority with information on their legal status, form, ownership structure, relevant subsidiaries, address, public website, contact details, the type of service they intend to provide, the estimated start date of activities…etc. This information would be provided on a website for consumers to review. In addition, they can request the competent authority to confirm their legal compliance status, which would in turn verify them as reliable entities that can use the ‘data intermediation services provider recognised in the Union’ label. 3.Overcoming trust issues with technology that self-enforces privacy: privacy-enhancing technologies (PETs) Even if there are verified data intermediation services available, businesses and consumers might still be reluctant to trust human organizations. A way to boost trust is to adopt technologies that self-enforces privacy. A real-world example is OpenSAFELY, a data intermediary implementing privacy-enhancing technologies (PETs) to provide health data sharing in a secure environment. Through a federated analytics system, researchers are able to conduct research with large volumes of healthcare data, without the ability to observe any data directly. Under such protection, UK NHS is willing to share its data for research purposes. The accuracy and timeliness of such research have provided key insights to inform the UK government in decision-making during the COVID-19 pandemic. With the benefits it can bring, unsurprisingly, PETs-related policies have become quite popular around the globe. In June 2022, Singapore launched its Digital Trust Centre (DTC) for accelerating PETs development and also signed a Memorandum of Understanding with the International Centre of Expertise of Montreal for the Advancement of Artificial Intelligence (CEIMIA) to collaborate on PETs.[12] On September 7th, 2022, the UK Information Commissioners’ Office (ICO) published draft guidance on PETs.[13] Moreover, the U.K. and U.S. governments are collaborating on PETs prize challenges, announcing the first phase winners on November 10th, 2022.[14] We could reasonably predict that more PETs-related policies would emerge in the coming year. Reference: [1] Yan Carrière-Swallow and Vikram Haksar, The Economics of Data, IMFBlog (Sept. 23, 2019), https://blogs.imf.org/2019/09/23/the-economics-of-data/#:~:text=Data%20has%20become%20a%20key,including%20oil%2C%20in%20important%20ways (last visited July 22, 2022). [2] Frontier Economics, Increasing access to data across the economy: Report prepared for the Department for Digital, Culture, Media, and Sport (2021), https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/974532/Frontier-access_to_data_report-26-03-2021.pdf (last visited July 22, 2022). [3] The Centre for Data Ethics and Innovation (CDEI), Unlocking the value of data: Exploring the role of data intermediaries (2021), https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1004925/Data_intermediaries_-_accessible_version.pdf (last visited June 17, 2022). [4] Please refer to the guidelines for the selection of sponsors of the 2022 Social Innovation Summit: https://www.gov.uk/government/publications/uk-national-data-strategy/national-data-strategy(last visited June 17, 2022). [5] Regulation of the European Parliament and of the Council on European data governance and amending Regulation (EU) 2018/1724 (Data Governance Act), 2020/0340 (COD) final (May 4, 2022). [6] Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and The Committee of the Regions— A European strategy for data, COM/2020/66 final (Feb 19, 2020). [7] Proposal for a Regulation on European Data Governance, European Parliament Legislative Train Schedule, https://www.europarl.europa.eu/legislative-train/theme-a-europe-fit-for-the-digital-age/file-data-governance-act(last visited Aug 17, 2022). [8] 周晨蕙,〈日本資訊信託功能認定指引第二版〉,科技法律研究所,https://stli.iii.org.tw/article-detail.aspx?no=67&tp=5&d=8422(最後瀏覽日期︰2022/05/30)。 [9] CDEI, supra note 3. [10] Ada Lovelace Institute, Exploring legal mechanisms for data stewardship (2021), 30~31,https://www.adalovelaceinstitute.org/wp-content/uploads/2021/03/Legal-mechanisms-for-data-stewardship_report_Ada_AI-Council-2.pdf (last visited Aug 17, 2022). [11] George A. Akerlof, The Market for "Lemons": Quality Uncertainty and the Market Mechanism, THE QUARTERLY JOURNAL OF ECONOMICS, 84(3), 488-500 (1970). [12] IMDA, MOU Signing Between IMDA and CEIMIA is a Step Forward in Cross-border Collaboration on Privacy Enhancing Technology (PET) (2022),https://www.imda.gov.sg/-/media/Imda/Files/News-and-Events/Media-Room/Media-Releases/2022/06/MOU-bet-IMDA-and-CEIMIA---ATxSG-1-Jun-2022.pdf (last visited Nov. 28, 2022). [13] ICO publishes guidance on privacy enhancing technologies, ICO, https://ico.org.uk/about-the-ico/media-centre/news-and-blogs/2022/09/ico-publishes-guidance-on-privacy-enhancing-technologies/ (last visited Nov. 27, 2022). [14] U.K. and U.S. governments collaborate on prize challenges to accelerate development and adoption of privacy-enhancing technologies, GOV.UK, https://www.gov.uk/government/news/uk-and-us-governments-collaborate-on-prize-challenges-to-accelerate-development-and-adoption-of-privacy-enhancing-technologies (last visited Nov. 28, 2022); Winners Announced in First Phase of UK-US Privacy-Enhancing Technologies Prize Challenges, NIST, https://www.nist.gov/news-events/news/2022/11/winners-announced-first-phase-uk-us-privacy-enhancing-technologies-prize (last visited Nov. 28, 2022).
Research on Policies for building a digital nation in Recent Years (2016-2017)Research on Policies for building a digital nation in Recent Years (2016-2017) Recent years, the government has already made some proactive actions, including some policies and initiatives, to enable development in the digital economy and fulfill the vision of Digital Nation. Those actions are as follows: 1. CREATING THE “FOOD CLOUD” FOR FOOD SAFETY CONTROLS Government agencies have joined forces to create an integrated “food cloud” application that quickly alerts authorities to food safety risks and allows for faster tracing of products and ingredients. The effort to create the cloud was spearheaded by the Executive Yuan’s Office of Food Safety under the leadership of Vice Premier Chang San-cheng on January 12, 2016. The “food cloud” application links five core systems (registration, tracing, reporting, testing, and inspection) from the Ministry of Health and Welfare (MOHW) with eight systems from the Ministry of Finance, Ministry of Economic Affairs, Ministry of Education (MOE), Council of Agriculture and Environmental Protection Administration. The application gathers shares and analyzes information in a methodical and systematic manner by employing big data technology. To ensure the data can flow properly across different agencies, the Office of Food Safety came up with several products not intended for human consumption and had the MOHW simulate the flow of those products under import, sale and supply chain distribution scenarios. The interministerial interface successfully analyzed the data and generated lists of food risks to help investigators focus on suspicious companies. Based on these simulation results, the MOHW on September 2, 2015, established a food and drug intelligence center as a mechanism for managing food safety risks and crises on the national level. The technologies for big data management and mega data analysis will enable authorities to better manage food sources and protect consumer health. In addition, food cloud systems established by individual government agencies are producing early results. The MOE, for instance, rolled out a school food ingredient registration platform in 2014, and by 2015 had implemented the system across 22 countries and cities at 6,000 schools supplying lunches for 4.5 million students. This platform, which made school lunch ingredients completely transparent, received the 2015 eAsia Award as international recognition for the use of information technology in ensuring food safety. 2. REVISING DIGITAL CONVERGENCE ACTS On 2016 May 5th, the Executive Yuan Council approved the National Communications Commission's (NCC) proposals, drafts of “Broadcasting Terrestrial and Channel Service Suppliers Administration Act”, “Multichannel Cable Platform Service Administration Act”, “Telecommunications Service Suppliers Act”, “Telecommunications Infrastructure and Resources Administration Act”, “Electronic Communications Act”, also the five digital convergence laws. They will be sent to the Legislature for deliberation. But in the end, this version of five digital convergence bills did not pass by the Legislature. However, later on, November 16, 2017, The Executive Yuan approved the new drafts of “Digital Communication Act” and the “Telecommunication Service Management Act”. The “Digital Communication Act” and the “Telecommunication Service Management Act” focused summaries as follows: 1. The digital communication bill A. Public consultation and participation. B. The digital communication service provider ought to use internet resource reasonability and reveal network traffic control measures. C. The digital communication service provider ought to reveal business information and Terms of Service. D. The responsibility of the digital communication service provider. 2. The telecommunication service management bill A. The telecommunication service management bill change to use registration system. B. The general obligation of telecommunications to provide telecommunication service and the special obligation of Specific telecommunications. C. Investment, giving, receiving and merging rules of the telecommunication service. Telecommunications are optimism of relaxing rules and regulations, and wish it would infuse new life and energy into the market. Premier Lai instructed the National Communications Commission and other agencies to elucidate the contents of the two communication bills to all sectors of society, and communicate closely with lawmakers of all parties to build support for a quick passage of the bills. 3. FOCUSING ON ICT SECURITY TO BUILD DIGITAL COUNTRIES The development of ICT has brought convenience to life but often accompanied by the threat of illegal use, especially the crimes with the use of new technologies such as Internet techniques and has gradually become social security worries. Minor impacts may cause inconvenience to life while major impacts may lead to a breakdown of government functions and effects on national security. To enhance the capability of national security protection and to avoid the gap of national security, the Executive Yuan on August 1st 2016 has upgraded the Office of Information and Communication Security into the Agency of Information and Communication Security, a strategic center of R.O.C security work, integrating the mechanism of the whole government governance of information security, through specific responsibility, professionalism, designated persons and permanent organization to establish the security system, together with the relevant provisions of the law so that the country's information and communication security protection mechanism will become more complete. The efforts to the direction could be divided into three parts: First, strengthening the cooperation of government and private sectors of information security: In a sound basis of legal system, the government plans to strengthen the government and some private sectors’ information security protection abilities ,continue to study and modify the relevant amendments to the relevant provisions, strengthen public-private collaborative mechanism, deepen the training of human resources and enhance the protection of key information infrastructure of our country. Second, improving the information and communication security professional capability: information and communication security business is divided into policy and technical aspects. While the government takes the responsibility for policy planning and coordination, the technical service lies in an outsourcing way. Based on a sound legal system, the government will establish institutionalized and long-term operation modes and plan appropriate organizational structures through the discussion of experts and scholars from all walks of life. Third, formulating Information and Communication Safety Management Act and planning of the Fifth National Development Program for Information and Communication Security: The government is now actively promoting the Information and Communication Safety Management Act as the cornerstone for the development of the national digital security and information security industry. The main content of the Act provides that the applicable authorities should set up security protection plan at the core of risk management and the procedures of notification and contingency measures, and accept the relevant administrative check. Besides the vision of the Fifth National Development Program for Information and Communication Security which the government is planning now is to build a safe and reliable digital economy and establish a safe information and communication environment by completing the legal system of information and communication security environment, constructing joint defense system of the national Information and Communication security, pushing up the self-energy of the industries of information security and nurture high-quality human resources for elite talents for information security. 4. THE DIGITAL NATION AND INNOVATIVE ECONOMIC DEVELOPMENT PLAN The Digital Nation and Innovative Economic Development Plan (2017-2025) known as “DIGI+” plan, approved by the Executive Yuan on November 24, 2016. The plan wants to grow nation’s digital economy to NT $ 6.5 trillion (US$205.9 billion), improve the digital lifestyle services penetration rate to 80 %, increase broadband connections to 2 Gbps, ensure citizens’ basic rights to have 25 Mbps broadband access, and put our nation among the top 10 information technology nations worldwide by 2025. The plan contains several important development strategies: DIGI+ Infrastructure: Build infrastructure conducive to digital innovation. DIGI+ Talent: Cultivate digital innovation talent. DIGI+ Industry: Support cross-industry transformation through digital innovation. DIGI+ Rights: Make R.O.C. an advanced society that respects digital rights and supports open online communities. DIGI+ Cities: Build smart cities through cooperation among central and local governments and the industrial, academic and research sectors. DIGI+ Globalization: Boost nation’s standing in the global digital service economy. The plan also highlights few efforts: First is to enrich “soft” factors and workforce to create an innovative environment for digital development. To construct this environment, the government will construct an innovation-friendly legal framework, cultivate interdisciplinary digital talent, strengthen research and develop advanced digital technologies. Second is to enhance digital economy development. The government will incentivize innovative applications and optimize the environment for digital commerce. Third, the government will develop an open application programming interface for government data and create demand-oriented, one-stop smart government cloud services. Fourth, the government will ensure broadband access for the disadvantaged and citizens of the rural area, implement the participatory process, enhance different kinds of international cooperation, and construct a comprehensive humanitarian legal framework with digital development. Five is to build a sustainable smart country. The government will use smart network technology to build a better living environment, promote smart urban and rural area connective governance and construction and use on-site research and industries innovation ecosystem to assist local government plan and promote construction of the smart country. In order to achieve the overall effectiveness of the DIGI + program, interdisciplinary, inter-ministerial, inter-departmental and inter-departmental efforts will be required to collaborate with the newly launched Digital National Innovation Economy (DIGI +) Promotion Team. 5. ARTIFICIAL INTELLIGENCE SCIENTIFIC RESEARCH STRATEGY The Ministry of Science and Technology (MOST) reported strategy plan for artificial intelligence (AI) scientific research at Cabinet meeting on August 24, 2017. Artificial intelligence is a powerful and inevitable trend, and it will be critical to R.O.C.’s competitiveness for the next 30 years. The ministry will devote NT$16 billion over the next five years to building an AI innovation ecosystem in R.O.C. According to MOST, the plan will promote five strategies: 1. Creating an AI platform to provide R&D services MOST will devote NT$5 billion over the next four years to build a platform, integrating the resources, providing a shared high-speed computing environment and nurturing emerging AI industries and applications. 2. Establishing an AI innovative research center MOST will four artificial intelligence innovation research centers across R.O.C. as part of government efforts to enhance the nation’s competitiveness in AI technology. The centers will support the development of new AI in the realms of financial technology, smart manufacturing, smart healthcare and intelligent transportation systems. 3. Setting up AI robot maker spaces An NT$2 billion, four-year project assisting industry to develop the hardware-software integration of robots and innovative applications was announced by the Ministry of Science and Technology. 4. Subsidizing a semiconductor “moonshot” program to explore ambitious and groundbreaking smart technologies This program will invest NT$4 billion from 2018 through 2021 into developing semiconductors and chip systems for edge devices as well as integrating the academic sector’s R&D capabilities and resources. the project encompasses cognitive computing and AI processor chips; next-generation memory designs; process technologies and materials for key components of sensing devices; unmanned vehicles, AR and VR; IoT systems and security. 5. Organizing Formosa Grand Challenge competitions The program is held in competitions to engage young people in the development of AI applications. The government hopes to extend R.O.C.’s industrial advantages and bolster the country’s international competitiveness, giving R.O.C. the confidence to usher in the era of AI applications. All of these efforts will weave people, technologies, facilities, and businesses into a broader AI innovation ecosystem. 6. INTELLIGENT TRANSPORTATION SYSTEM PLANS Ministry of Transportation and Communications (MOTC) launched plans to develop intelligent transportation systems at March 7th in 2017. MOTC integrates transportation and information and communications technology through these plans to improve the convenience and reduce the congestion of the transportation. These plans combine traffic management systems for highways, freeways and urban roads, a multi-lane free-flow electronic toll collection system, bus information system that provides timely integrated traffic information services, and public transportation fare card readers to reduce transport accidence losses, inconvenience of rural area, congestion of main traffic arteries and improve accessibility of public transportation. There are six plans are included: 1. Intelligent transportation safety plan; 2. Relieve congestion on major traffic arteries; 3. Make transportation more convenient in Eastern Taiwan and remote areas; 4. Integrate and share transportation resources; 5. Develop “internet-of-vehicles” technology applications; and 6. Fundamental R&D for smart transportation technology. These plans promote research and development of smart vehicles and safety intersections, develop timely bus and traffic information tracking system, build a safe system of shared, safe and green-energy smart system, and subsidize the large vehicles to install the vision enhancement cameras to improve the safety of transportation. These plans also use eTag readers, vehicle sensors and info communication technologies to gather the traffic information and provide timely traffic guidance, reduce the congestion of the traffic flow. These plans try to use demand-responsive transit system with some measures such as combine public transportation and taxi, to improve the flexibility of the public traffic service and help the basic transportation needs of residents in eastern Taiwan and rural areas to be fulfilled. A mobile transport service interface and a platform that integrating booking and payment processes are also expected to be established to provide door-to-door transportation services and to integrate transportation resources. And develop demonstration projects of speed coordination of passenger coach fleets, vehicle-road interaction technology, and self-driving car to investigate and verify the issues in technological, operational, industrial, legal environments of internet-of-vehicles applications in our country. Last but not least, research and development on signal control systems that can be used in both two and four-wheeled vehicles, and deploy an internet-of-vehicles prototype platform and develop drones traffic applications. These plans are expected to reduce 25% traffic congestion, 20% of motor vehicle incidence, leverage 10% using rate of public transportation, raise 20% public transportation service accessibility of rural area and create NT$30 billion production value. After accomplishing these targets, the government can establish a comprehensive transportation system and guide industry development of relating technology areas. Through the aforementioned initiatives, programs, and plans, the government wants to construct the robust legal framework and policy environment for digital innovation development, and facilitate the quality of citizens in our society.