FAIR Principles: Interpretations and Implementation Considerations

被引：168

作者：

Jacobsen, Annika ^{[1
]}

Azevedo, Ricardo De Miranda ^{[2
]}

Juty, Nick ^{[3
]}

Batista, Dominique ^{[4
]}

Coles, Simon ^{[5
]}

Cornet, Ronald ^{[6
]}

Courtot, Melanie ^{[7
]}

Crosas, Merce ^{[8
]}

Dumontier, Michel ^{[2
]}

Evelo, Chris T. ^{[9
]}

Goble, Carole ^{[3
]}

Guizzardi, Giancarlo ^{[10
]}

Hansen, Karsten Kryger ^{[11
]}

Hasnain, Ali ^{[12
]}

Hettne, Kristina ^{[13
]}

Heringa, Jaap ^{[14
]}

Hooft, Rob W. W. ^{[14
,15
]}

Imming, Melanie ^{[16
]}

Jeffery, Keith G. ^{[17
]}

Kaliyaperumal, Rajaram ^{[1
]}

Kersloot, Martijn G. ^{[6
,18
]}

Kirkpatrick, Christine R. ^{[19
]}

Kuhn, Tobias ^{[14
]}

Labastida, Ignasi ^{[20
]}

Magagna, Barbara ^{[21
]}

McQuilton, Peter ^{[4
]}

Meyers, Natalie ^{[22
]}

Montesanti, Annalisa ^{[23
]}

van Reisen, Mirjam ^{[24
]}

Rocca-Serra, Philippe ^{[4
]}

Pergl, Robert ^{[25
]}

Sansone, Susanna-Assunta ^{[4
]}

Santos, Luiz Olavo Bonino Da Silva ^{[26
]}

Schneider, Juliane ^{[27
]}

Strawn, George ^{[28
]}

Thompson, Mark ^{[1
]}

Waagmeester, Andra ^{[29
]}

Weigel, Tobias ^{[30
]}

Wilkinson, Mark D. ^{[31
]}

Willighagen, Egon L. ^{[9
]}

Wittenburg, Peter ^{[32
]}

Roos, Marco ^{[1
]}

Mons, Barend ^{[1
,26
]}

Schultes, Erik ^{[26
,33
]}

机构：

[1] Leiden Univ, Med Ctr, NL-2333 ZA Leiden, Netherlands

[2] Maastricht Univ, Inst Data Sci, Univ Singel 60, NL-6229 ER Maastricht, Netherlands

[3] Univ Manchester, Dept Comp Sci, Oxford Rd, Manchester M13 9PL, Lancs, England

[4] Univ Oxford, Dept Engn Sci, Oxford E Res Ctr, Oxford OX1 3PJ, England

[5] Univ Southampton, Sch Chem, Fac Engn & Phys Sci, Southampton SO17 1BJ, Hants, England

[6] Univ Amsterdam, Amsterdam UMC, NL-1000 GG Amsterdam, Netherlands

[7] European Bioinformat Inst (EMBL EBI, Cambridge CB10 1SD, England

[8] Harvard Univ, Cambridge, MA 02138 USA

[9] Maastricht Univ, NUTRIM, Dept Bioinformat BiGCaT, NL-6229 ER Maastricht, Netherlands

[10] Free Univ Bozen Bolzano, Conceptual & Cognit Modeling Res Grp CORE, I-39100 Bolzano, Italy

[11] Aalborg Univ, DK-9220 Aalborg, Denmark

[12] Natl Univ Ireland Galway, Insight Ctr Data Analyt, Galway H91 TK33, Ireland

[13] Leiden Univ Lib, Ctr Digital Scholarship, NL-2333 ZA Leiden, Netherlands

[14] Vrije Univ Amsterdam, Dept Comp Sci, Boelelaan 1105, NL-1081 HV Amsterdam, Netherlands

[15] Dutch Techctr Life Sci DTL, Utrecht, Netherlands

[16] SURF, NL-3511 EP Utrecht, Netherlands

[17] Keith G Jeffery Consultants, Faringdon, England

[18] Castor EDC, Paasheuvelweg 25,Wing 5D, NL-1105 BP Amsterdam, Netherlands

[19] Univ Calif San Diego, San Diego Supercomp Ctr, La Jolla, CA 92093 USA

[20] Univ Barcelona, Learning & Res Resources Ctr CRAI, Barcelona 08007, Spain

[21] Environm Agcy Austria, A-1090 Vienna, Austria

[22] Univ Notre Dame, F-75004 Paris, France

[23] Hlth Res Board HRB, Dublin DO2 H638 2, Ireland

[24] Leiden Univ, Liacs Inst Adv Comp Sci, NL-2311 GJ Leiden, Netherlands

[25] Czech Tech Univ, Fac Informat Technol FIT CTU, Prague 16000 6, Czech Republic

[26] GO FAIR Int Support & Coordinat Off GFISCO, Leiden, Netherlands

[27] Harvard Catalyst Clin & Translat Sci Ctr, Boston, MA 02115 USA

[28] US Natl Acad Sci, Washington, DC 20418 USA

[29] Micelio, Antwerp, Belgium

[30] Deutsch Klimarechenzentrum, Bundesstr 45a, D-20146 Hamburg, Germany

[31] Ctr Plant Biotechnol & Genom UPM INIA, Madrid 28040, Spain

[32] Max Planck Comp & Data Facil, Giessenbachstr 2, D-85748 Garching, Germany

[33] Leiden Ctr Data Sci, NL-2311 EZ Leiden, Netherlands

来源：

DATA INTELLIGENCE | 2020年 / 2卷 / 1-2期

基金：

欧盟地平线“2020”; 英国惠康基金; 英国生物技术与生命科学研究理事会; 美国国家卫生研究院; 美国国家科学基金会;

关键词：

FAIR guiding principles; FAIR implementation; FAIR convergence; FAIR communities; choices and challenges; STANDARDS; REPOSITORIES; ONTOLOGY;

D O I：

10.1162/dint_r_00024

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The FAIR principles have been widely cited, endorsed and adopted by a broad range of stakeholders since their publication in 2016. By intention, the 15 FAIR guiding principles do not dictate specific technological implementations, but provide guidance for improving Findability, Accessibility, Interoperability and Reusability of digital resources. This has likely contributed to the broad adoption of the FAIR principles, because individual stakeholder communities can implement their own FAIR solutions. However, it has also resulted in inconsistent interpretations that carry the risk of leading to incompatible implementations. Thus, while the FAIR principles are formulated on a high level and may be interpreted and implemented in different ways, for true interoperability we need to support convergence in implementation choices that are widely accessible and (re)-usable. We introduce the concept of FAIR implementation considerations to assist accelerated global participation and convergence towards accessible, robust, widespread and consistent FAIR implementations. Any self-identified stakeholder community may either choose to reuse solutions from existing implementations, or when they spot a gap, accept the challenge to create the needed solution, which, ideally, can be used again by other communities in the future. Here, we provide interpretations and implementation considerations (choices and challenges) for each FAIR principle.

引用

页码：10 / 29

页数：20

共 27 条

[1] Ayris P, 2016, REALISING EUROPEAN O, V22, P2019, DOI [10.2777/940154, DOI 10.2777/940154]
[2] Minimum information about a microarray experiment (MIAME) - toward standards for microarray data
Brazma, A
Hingamp, P
Quackenbush, J
Sherlock, G
Spellman, P
Stoeckert, C
Aach, J
Ansorge, W
Ball, CA
Causton, HC
Gaasterland, T
Glenisson, P
Holstege, FCP
Kim, IF
Markowitz, V
Matese, JC
Parkinson, H
Robinson, A
Sarkans, U
Schulze-Kremer, S
Stewart, J
Taylor, R
Vilo, J
Vingron, M
[J]. NATURE GENETICS, 2001, 29 (04) : 365 - 371
[3] Ontology-based Access Control for FAIR Data
Brewster, Christopher
Nouwt, Barry
Raaijmakers, Stephan
Verhoosel, Jack
[J]. DATA INTELLIGENCE, 2020, 2 (1-2) : 66 - 77
[4] Budroni Paolo, 2019, ABI Technik, V39, P130, DOI 10.1515/abitech-2019-2006
[5] Directorate-General for Research and Innovation (European Commission), 2018, Turning FAIR into reality: final report and action plan from the European Commission expert group on FAIR data, DOI DOI 10.2777/1524
[6] Erdmann C., 2019, TOP 10 FAIR DATA SOF, DOI [10.5281/zenodo.2555498, DOI 10.5281/ZENODO.2555498]
[7] Ontology, Ontologies and the "I" of FAIR
Guizzardi, Giancarlo
[J]. DATA INTELLIGENCE, 2020, 2 (1-2) : 181 - 191
[8] Haendel M., 2016, FAIR-TLC: Metrics to Assess Value of Biomedical Digital Repositories: Response to RFI NOT-OD-16-133, DOI [10.5281/zenodo.203295, DOI 10.5281/ZENODO.203295]
[9] Hansen K.K., 2018, FAIRY TALE ZENODO, DOI [10.5281/zenodo.2248200, DOI 10.5281/ZENODO.2248200]
[10] A Generic Workflow for the Data FAIRification Process
Jacobsen, Annika
Kaliyaperumal, Rajaram
Santos, Luiz Olavo Bonino da Silva
Mons, Barend
Schultes, Erik
Roos, Marco
Thompson, Mark
[J]. DATA INTELLIGENCE, 2020, 2 (1-2) : 56 - 65

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