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Strategic Study of CAE >> 2023, Volume 25, Issue 5 doi: 10.15302/J-SSCAE-2023.05.018

Digital Infrastructure System for Biomedical Research and Development

1. Institute of Medical-care Information Technology, Hangzhou 311100, China;

2. School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, Zhejiang, China;

3. Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou 310000, China;

4. Wenzhou Medical University, Wenzhou 325035, Zhejiang, China;

5. The First Affiliated Hospital of Zhejiang University, Hangzhou 310003, China

Funding project:Chinese Academy of Engineering project “Strategic Research on the Development of Integration Platform within Artificial Intelligence and Big Data for the Biomedical Industry” (2022-DFZD-28) Received: 2023-09-13 Revised: 2023-10-15 Available online: 2023-10-30

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Abstract

The biomedical industry is developing at an unprecedented speed and the establishment and improvement of a digital infrastructure for biomedical research and development (R&D) is crucial for biotechnology innovation and Health China construction. This study analyzes the implication, classification, and systematic framework of the digital infrastructure for biomedical R&D in the new era. It summarizes the strategic layouts and development paths of the digital infrastructures for biomedical R&D in the United States, the European Union, and China, and examines the gap between China and European and American countries in terms of international influence and authority, development model design and efficiency, sustainability, and management organization construction. Moreover, it presents the challenges faced by the digital infrastructure of China regarding top-level design, management, and governance. Furthermore, we suggest that the following aspects should be strengthened: top-level framework design, coordination of biomedical and healthcare resources, clustered construction and governance of the platform, and capacity building and operationguarantee of the open platform.

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References

[ 1 ] Mirowski P‍. The future(s) of open science [J]‍. Social Studies of Science, 2018, 48(2): 171‒203‍.

[ 2 ] Fecher B, Kahn R, Sokolovska N, al et‍. Making a research infrastructure: Conditions and strategies to transform a service into an infrastructure [J]‍. Science and Public Policy, 2021, 48(4): 499‒507‍.

[ 3 ] Zhang L L, Li J H, Paul F, al et‍. Research e-infrastructures for open science: The national example of CSTCloud in China [J]‍.Data Intelligence, 2023, 5 (2): 355‒369‍.

[ 4 ] Zhao Z, Huang J‍.Analysis of information resource construction mode of open science infrastructures [J] ‍.Library Development, 2021, 44(3): 46‒55‍.

[ 5 ] UNESCO‍. Recommendation on open science [EB/OL]‍. (2021-11-26)[2023-08-22]‍. http://www‍.unesco‍.org/en/articles/unesco-sets-ambitious-international-standards-open-science. link1

[ 6 ] Hardisty A, Roberts D, The Biodiversity Informatics Community‍. A decadal view of biodiversity informatics: Challenges and priorities [J]‍. BMC Ecology, 2013, 13: 16‍.

[ 7 ] National Academies of Sciences, Engineering and Medicine, Policy and Global Affairs, al et‍. Open science by design: Realizing a vision for 21st century research [M]‍.Washington DC: The National Academies Press, 2018‍.

[ 8 ] 余辉 , 梁镇涛 , 鄢宇晨‍‍ . 多来源多模态数据融合与集成研究进展 [J]‍. 情报理论与实践 , 2020 , 43 11 : 169 ‒ 178 ‍.
Yu H , Liang Z T , Yan Y C‍ . Review on multi-source and multi-modal data fusion and integration [J]‍. Information Studies: Theroy Application , 2020 , 43 11 : 169 ‒ 178 ‍.

[ 9 ] 周小林 , 李力 , 杨云 , 等‍ . 欧盟大型研究基础设施路线图的经验及对中国大科学监测评估的启示 [J]‍. 中国科技论坛 , 2020 1 : 181 ‒ 188 ‍.
Zhou X L , Li L , Yang Y , al e t ‍. Experience in the EU large research infrastructure roadmap and implications for big science monitoring and evaluation in China [J]‍. The China Science and Technology Forum , 2020 1 : 181 ‒ 188 ‍.

[10] Ribes D‍. The kernel of a research infrastructure [C]‍. New York: Association for Computing Machinery, 2014‍.

[11] Ramaprasad A, Valenta A L, Brooks I S, al et‍. Biomedical informatics infrastructure‍ [J]‍. Urban Economics & Regional Studies eJournal, 2007: 1305712‍.

[12] Davidson S M, Heineke J‍.Toward an effective strategy for the diffusion and use of clinical information systems [J]‍. Journal of the American Medical Informatics Association, 2007, 14 (3): 361‒367‍.

[13] Lauer D K B, Smith A, Blomberg D N, al et‍. Open data: A driving force for innovation in the life sciences [EB/OL]‍. (2021-08-19)[2023-08-22]‍. https: //f1000research‍.com/documents/10-828‍. link1

[14] U‍.S‍. National Library of Medicine‍. A platform for biomedical discovery and data-powered health strategic plan 2017—2027 [EB/OL]‍. (2018-03-06)[2023-08-22]‍. https: //www‍.nlm‍.nih‍.gov/pubs/plan/lrp17/NLM_StrategicReport2017_2027‍.pdf‍. link1

[15] National Institutes of Health‍. NIH-Wide strategic plan for fiscal years 2021—2025 [EB/OL]‍. (2021-07-30)‍[2023-08-22]‍. https: //www‍.nih‍.gov/sites/default/files/about-nih/strategic-plan-fy2021-2025-508‍.pdf‍. link1

[16] National Institutes of Health‍.About the STRIDES initiative [EB/OL]‍. (2021-07-30)‍[2022-11-01]‍. https: //datascience‍.nih‍.gov/strides‍. link1

[17] 苏燕 , 李伟 , 李祯祺 , 等‍ . 美国生物大数据战略举措及其对我国的启示 [J]‍. 中华医学图书情报杂志 , 2020 , 29 10 : 32 ‒ 37 ‍.
Su Y , Li W , Li Z Q , al e t ‍. Strategic measures taken by USA for biological big data and their enlightenments [J]‍. Chinese Joural of Medical Library and Information Science , 2020 , 29 10 : 32 ‒ 37 ‍.

[18] National Institutes of Health‍. The NIH BRAIN initiative: An overview [EB/OL]‍. (2020-10-05) [2022-11-01]‍. https: //www‍.nimh‍.nih‍.gov/news/events/2020/townhall/the-nih-brain-initiative-an-overview‍. link1

[19] Collins F S, Schwetz T A, Tabak L A, al et‍. ARPA-H: Accelerating biomedical breakthroughs [J]‍. Science, 2021, 373(6551): 165‒167‍.

[20] Hillson N, Caddick M, Cai Y, al et‍. Building a global alliance of biofoundries [J]‍. Nature Communication, 2019: 2040‍.

[21] Shaping Europe´s digital future: Commission presents strategies for data and Artificial Intelligence [EB/OL]‍. (2020-02-19)‍[2022-11-01]‍. https: //futurium‍.ec‍.europa‍.eu/sites/default/files/2020-08/Shaping_Europe_s_digital_ future__Commission_presents_strategies_for_data_and_Artificial_Intelligence‍.pdf‍. link1

[22] Harrow J, Drysdale R, Smith A, al et‍. ELIXIR: Providing a sustainable infrastructure for life science data at European scale [J]‍.Bioinformatics, 2021, 37(16): 2506‒2511‍.

[23] Uuropean commission CORDISEU research results [EB/OL] ‍. (2021-03-15)[2023-10-12]‍. https: //cordis‍.europa‍.eu/projects/en‍. link1

[24] Horizon Europe´s first strategic plan 2021—2024: Commission sets research and innovation priorities for a sustainable future [EB/OL]‍. (2021-03-15)‍[2022-11-01]‍. https: //commission‍.europa‍.eu/system/files/2021-09/ec_rtd_ horizon-europe-strategic-plan-2021-24‍.pdf‍. link1

[25] 俞胜杰‍ . 《通用数据保护条例》中的域外管辖问题研究 [D]‍. 上海 : 华东政法大学博士学位论文 , 2020 ‍.
Yu S J‍ . Research on extraterritorial jurisdiction in the General data protection regulations [D]‍. Shanghai : East China University of Political Science and Law Doctoral dissertation , 2020 ‍.

[26] 樊代明‍ . 生物医学大数据是重要战略资源 [J]‍. 科学新闻 , 2019 6 : 34 ‍.
Fan D M‍ . Biomedical big data is an important strategic resource [J]‍. Science News , 2019 6 : 34 ‍.

[27] Zhang L L, Li J H, Uhlir P F, al et‍. Research e-infrastructures for open science: The national example of CSTCloud in China [J]‍.Data Intelligence, 2023, 5(2): 355‒369‍.

[28] Kamdar M R, Ferna´ndez J D, Polleres A, al et‍. Enabling web-scale data integration in biomedicine through linked open data [J]‍.npj Digital Medicine, 2019, 2(1): 1‒14‍.

[29] Laufs D, Peters M, Schultz C‍. Data platforms for open life sciences—A systematic analysis of management instruments [J]‍.PLoS One, 2022, 17(10): e0276204‍.

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