Published Versions 3 Vol 2 (1) : 10-29 2020
FAIR Principles: Interpretations and Implementation Considerations
3918 309 0
Abstract & Keywords
Abstract: 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.
Keywords: FAIR guiding principles; FAIR implementation; FAIR convergence; FAIR communities; choices and challenges
The work of AJ, CE, MT, RC, RK and MR is supported by funding from the European Union’s Horizon 2020 research and innovation programme under the EJP RD COFUND-EJP N° 825575. The work of AJ, CE, CAG, MT, NJ, RH, MR, S-AS, PMcQ, PR-S and DB is supported by funding from ELIXIR EXCELERATE, H2020 grant agreement number 676559. RH was further funded by NL NWO NRGWI.obrug.2018.009. NJ and CAG were funded by CORBEL (H2020 grant agreement 654248). NJ, CAG, S-AS, PMcQ, PR-S and DB were funded by FAIRplus (IMI grant agreement 802750). NJ, CAG, MT, MR, S-AS, PMcQ, PR-S and DB were funded by EOSClife H2020-EU (grant agreement number 824087). CAG was funded by DMMCore (BBSRC BB/M013189/). MT, MR received funding from NWO (VWData 400.17.605). S-AS, PMcQ, PR-S and DB have been funded by grants awarded to S-AS from the UK BBSRC and Research Councils (BB/L024101/1; BB/L005069/1), EU (H2020-EU 634107; H2020-EU 654241, IMI (IMPRiND 116060), NIH Data Common Fund, and from the Wellcome Trust (ISA-InterMine 212930/Z/18/Z; FAIRsharing 208381/A/17/Z). The work of AW has been funded by grant award number GM089820 from the National Institutes of Health. MK was funded by the European Regional Development Fund (KVW-00163). The work of NM was funded by the National Science Foundation (OAC 1839030). The work of MDW is funded by Isaac Peral/Marie Curie cofund with the Universidad Politécnica de Madrid and the Ministerio de Economía y Competitividad grant number TIN2014-55993-RM. The work of BM, ES, LB and KJ is funded by the H2020-EU 824068. The work of BM, ES and LB is funded by the GO FAIR ISCO grant of the Dutch Ministry of Science and Culture. The work of GG is supported by the OCEAN Project (FUB). MC received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 802750.
M.D. Wilkinson, M. Dumontier, I.J. Aalbersberg, G. Appleton, M. Axton, A. Baak, … & B. Mons. The FAIR guiding principles for scientific data management and stewardship. Scientific Data 3(2016), Article No.160018. doi: 10.1038/sdata.2016.18.
P. Ayris, J.-Y. Berthou, R. Bruce, S. Lindstaedt, A. Monreale, B. Mons ,... & R. Wilkinson. Realising the European Open Science Cloud (2016). doi: 10.2777/940154.
P. Budroni, J. Claude-Burgelman, & M. Schouppe. Architectures of knowledge: The European open science cloud. ABI Technik 39(2)(2019), 130–141. doi: 10.1515/abitech-2019-2006.
P. Wittenburg, & G. Strawn. Common patterns in revolutionary infrastructures and data (February 2018). doi: 10.23728/b2share.4e8ac36c0dd343da81fd9e83e72805a0.
B. Mons, C. Neylon, J. Velterop, M. Dumontier, L.O. Bonino da Silva Santos & M.D. Wilkinson. B. Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud. Information Services & Use 37(2017), 49–56. doi: 10.3233/ISU-170824.
M. Haendel, A. Su, J. McMurry, C.G. Chute, C. Mungall, B. Good, ... & T. Conlin. FAIR-TLC: Metrics to assess value of biomedical digital repositories: Response to RFI NOT-OD-16-133. Zenodo (2016). doi: 10.5281/ZENODO.203295.
M. van Reisen, M. Stokmans, M. Basajja, A. Ong’ayo, C. Kirkpatrick & B. Mons. Towards the tipping point of FAIR implementation. Data Intelligence 2(2020), 264–275. doi: 10.1162/dint_a_00049.
M. Van Reisen, M. Stokmans, M. Mawere, M. Basajja, A. O. Ong’ayo, P. Nakazibwe, C. Kirkpatrick & K. Chindoza. FAIR Practices in Africa. Data Intelligence 2(2020), 246–256. doi: 10.1162/dint_a_00047.
M.D. Wilkinson, S.-A. Sansone, E. Schultes, P. Doorn, L.O.B. Da Silva Santos, & M. Dumontier. Comment: A design framework and exemplar metrics for FAIRness. Scientific Data 5(2018), 1–4. doi: 10.1038/sdata.2018.118.
M.D. Wilkinson. Evaluating FAIR maturity through a scalable, automated, community-governed framework. bioRxiv, 2019. doi: 10.1101/649202.
K.K. Hansen, M. Buss, & L.S. Haahr. A FAIRy tale. Zenodo (2018). doi: 10.5281/zenodo.2248200.
C. Erdmann, N. Simons, R. Otsuji, S. Labou,R. Johnson, G.Castelao, ... & T. Dennis. Top 10 FAIR data & software things. Zenodo (2019). doi: 10.5281/zenodo.2555498.
European Commission. Turning Fair Into reality (2018). doi: 10.2777/1524.
A. Jacobsen, R. Kaliyaperumal, L.O. Bonino da Silva Santos, B. Mons, E. Schultes, M. Roos & M. Thompson. A generic workflow for the data FAIRification process. Data Intelligence 2(2020), 56–65. doi: 10.1162/dint_a_00028.
H.P. Sustkova, K.M. Hettne, P. Wittenburg, A. Jacobsen, T. Kuhn, R. Pergl,... & E. Schultes. FAIR convergence matrix: Optimizing the reuse of existing FAIR-related resources. Data Intelligence 2(2020), 158–170. doi: 10.1162/dint_a_00038.
J.A. McMurry, N. Juty, N. Blomberg, T. Burdett, T. Conlin, N. Conte, ... H. Parkinson. Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data. PLoS Biology 15(6)(2017), e2001414. doi: 10.1371/journal.pbio.2001414
N. Juty, S.M. Wimalaratne, S. Soiland-Reyes, J. Kunze, C.A. Goble & T. Clark. Unique, persistent, resolvable: Identifiers as the foundation of FAIR. Data Intelligence 2(2020), 30–39. doi: 10.1162/dint_a_00025.
N. Juty, S.M. Wimalaratne, S. Soiland-Reyes, J. Kunze, C.A. Goble & T. Clark. Unique, persistent, resolvable: Identifiers as the foundation of FAIR. Data Intelligence 2(2020), 30–39. doi: 10.1162/dint_a_00025.
P. McQuilton, D. Batista, O. Beyan, R. Granell, S. Coles, M. Izzo, ... & S.-A. Sansone. Helping the consumers and producers of standards, repositories and policies to enable FAIR data. Data Intelligence 2(2020), 151–157. doi: 10.1162/dint_a_00037.
M. Thompson, K. Burger, R. Kaliyaperumal, M. Roos & L.O. Bonino da Silva Santos. Making FAIR easy with FAIR tools: From creolization to convergence. Data Intelligence 2(2020), 87–95. doi: 10.1162/dint_a_00031.
T. Weigel, U. Schwardmann, J. Klump, S. Bendoukha & R. Quick. Making data and workflows findable for machines. Data Intelligence 2(2020), 40–46. doi: 10.1162/dint_a_00026.
M. Thompson, K. Burger, R. Kaliyaperumal, M. Roos & L.O. Bonino da Silva Santos. Making FAIR easy with FAIR tools: From creolization to convergence. Data Intelligence 2(2020), 87–95. doi: 10.1162/dint_a_00031.
M. Martone. Data citation synthesis group: Joint Declaration of Data Citation Principles. San Diego CA FORCE11, no. principle 6, 2014. doi: 10.25490/a97f-egyk.
S. Jones, R. Pergl, R. Hooft, T. Miksa, R. Samors, J. Ungvari, R.I. Davis & T. Lee. Data management planning: How requirements and solutions are beginning to converge. Data Intelligence 2(2020), 208–219. doi: 10.1162/dint_a_00043.
G. Guizzardi. Ontology, ontologies and the “I” of FAIR. Data Intelligence 2(2020), 181–191. doi: 10.1162/dint_a_00040.
D. Vrandecˇic. Wikidata: A new platform for collaborative data collection. In: Proceedings of the 21st International Conference on World Wide Web, 2012, pp. 1063–1064. doi: 10.1145/2187980.2188242.
A. Brazma, P. Hingamp, J. Quackenbush, G. Sherlock, P. Spellman, C. Stoeckert, ... & M. Vingron. Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nature Genetics 29(4)(2001), 365–371. doi: 10.1038/ng1201-365.
Article and author information
Cite As
A. Jacobsen, R. de Miranda Azevedo, N. Juty, D. Batista, S. Coles, R. Cornet, ... & E. Schultes. FAIR principles: Interpretations and implementation considerations. Data Intelligence 2(2020), 10–29. doi: 10.1162/dint_r_00024
Annika Jacobsen
Annika Jacobsen is a postdoctoral researcher at the BioSemantics group, Human Genetics Department, Leiden University Medical Center, The Netherlands. She obtained her Bachelor and Master degrees at the Technical University of Denmark in 2009 and 2012, and her PhD degree at the Vrije Universiteit Amsterdam in 2019. Her research interests are to create interoperable FAIR rare disease data with the aim to learn more about cause, diagnosis and treatment.
Ricardo de Miranda Azevedo
Ricardo de Miranda Azevedo is an independent and pragmatic researcher with a background in psychology and clinical epidemiology who is happy to work in multidisciplinary settings. He is a great multilingual communicator who is enthusiastic about scientific research but also for computers and teaching different topics. He is often labeled as a creative mind with a problemsolver attitude.
Nick Juty
Nick Juty is a Senior Research Technical Manager in the eScience Lab, based in the Department of Computer Science at The University of Manchester. He is involved in numerous EU projects relating to aspects of FAIR and interoperability, particularly with respect to identifier systems and metadata. Nick previously worked at EMBL-EBI where he helped create the identifier resolution system. Nick holds a PhD in Biochemistry from the University of Southampton.
Dominique Batista
Dominique Batista is a young developer specialized in creating tools and software for scientific researchers and academics. His current activities focus on delivering clean, tested and documented open-source code to help structuring metadata over the Web. Dominique’s side activities focus on producing knowledge and scientific papers as well as representing the team in international conferences. He is passionate about computer (hardware, Web), science (biology and physics), video games and much more.
Simon Coles
Simon J. Coles is Professor of Structural Chemistry at the University of Southampton and Director of the UK National Crystallography Service. He has promoted open approaches to research and education in Chemistry for many years and is now also Director of the UK Physical Sciences Datascience Service.
Ronald Cornet
Ronald Cornet holds a position as associate professor at the department of Medical Informatics in the Amsterdam Public Health Research Institute, Amsterdam UMC. His research focuses on semantic interoperability, both from a technical perspective and from a user’s point of view, including natural language processing. Ronald is involved in health care information standardization, among others as member of the Dutch, European (CEN) and global (ISO) standardization committees on health informatics. He is also involved in SNOMED International, which is responsible for maintenance and further development of SNOMED CT. He chairs the IMIA working group on Language and Meaning in Biomedicine, and participates in various international projects includingFAIR4Health and European Joint Programme Rare Diseases (EJP-RD).
Mélanie Courtot
Mélanie Courtot is a Metadata Standards coordinator at EMBL-EBI, where her team designs tools to streamline multi-omics submissions and develops integrated metadata strategies across the institute’s archival resources and other projects such as FAIRPlus and CINECA, focusing on semantic enrichment and harmonization for pharmaceutical and cohort data, respectively. In the context ofGA4GH which she joined in 2016, Mélanie co-leads groups working on data access and encoding as well as clinical and phenotypic standards.
Mercè Crosas
Mercè Crosas is Harvard University’s Research Data Officer, with Harvard University Information Technology (HUIT), and Chief Data Science and Technology Officer at Harvard’s Institute for Quantitative Social Science (IQSS). In her role at HUIT, Dr. Crosas provides leadership to mature Harvard’s data management and governance practices. She works in close collaboration with key constituencies in Research, Information Technology, and the Library to coordinate support for the data lifecycle and guide university policy, process, and procedures for research data. Dr. Crosas brings to this role a wealth of experience in data management architecture and international community data standards as well as the vision to make data more accessible for research while preserving privacy.
Michel Dumontier
Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research focuses on the development of computational methods for scalable and responsible discovery science. Previously at Stanford University, Dr. Dumontier now leads the inter faculty Institute of Data Science at Maastricht University to develop socio-technological systems for accelerating scientific discovery, improving human health and well-being, and empowering communities with ethical data-driven decision making.
Chris T. Evelo
Carole Goble
Carole Goble is Professor of Computer Science at The University of Manchester. Over the past 25years Carole has pursued research interests in the acceleration of FAIR scientific innovation through: distributed computing, workflows and automation; knowledge management and the Semantic Web; social, virtual environments; software engineering for scientific software; and new models of scholarship for data-intensive science. Carole has served on numerous committees and currently serves in the G7 Open Science Working Group as the UK expert. In 2008 she was awarded the Microsoft Jim Gray e-Science award for contributions to e-Science and in 2010 was elected a Fellow of the Royal Academy of Engineering. In 2014 she was awarded the Commander of the Order of the British Empire for services to Science.
Giancarlo Guizzardi
Giancarlo Guizzardi is currently a professor of computer science and head of the Conceptual and Cognitive Modeling Research Group (CORE) at the Free University of Bozen-Bolzano, Italy. He has a PhD in Computer Science (with the highest distinction) from the University of Twente, The Netherlands. He has been working for more than two decades in the interplay between formal and applied ontology, cognitive science, philosophical logics, linguistics, and computer science(in particular, in the areas of conceptual modeling, enterprise modeling and knowledge representation). He has published circa 270 papers, many of which have received best paper awards in important conferences. He has also played a multitude of roles in key conferences in the field (e.g., general chair, program committee chair, and keynote speaker). Finally, he is an associate editor for the Applied Ontology journal, member of a number of international journal editorial boards, and of the Advisory Board of the International Association for Ontology and its Applications (IAOA).
Karsten Kryger Hansen
Ali Hasnain
Ali Hasnain is a Lecturer and Researcher at Insight Centre for Data Analytics, National University of Ireland Galway (NUIG). Before joining DERI, Hasnain completed a master’s degree in “Engineering and Management of Information Systems” from Royal Institute of Technology, KTH, Stockholm, Sweden. He received another master’s degree from the same University in “Project Management and Operational Development”. Career spans over five years of experience in Software industry and more than a decade in academia at various positions. It includes work experience as Lecturer, Senior Researcher, Project Manager and lead scientist. Teaching responsibilities at NUI Galway includes mentoring and co-supervising master’s and PhD students. With strong scientific publishing record the list of selected Scientific Publications in the Field of Computing, Data Analytics, Software Engineering and Data Science positively reviewed and published at world renowned Journals and conferences can be seen at: (around 650 citations). Ali Hasnain is the Program Committee Member of international conferences and workshops e.g, VOILA-ISWC and KESW. He remained involved in organizing workshops and tutorial at K-Cap 2015 and SWAT4LS2015–2018 for international audiences. His current research interests include: FAIR DATA, Open Data, Big Data, Semantic Models, Data Cataloging/Linking, Visual Interfaces and Data Integration.
Kristina Hettne
Kristina Hettne, PhD, is a Digital Scholarship Librarian at the Centre for Digital Scholarship, Leiden University Libraries in Leiden, The Netherlands. At the Centre, she helps researchers navigate Open Science and shape the future of research data management. She is the Centre’s liaison with GO FAIR and part of the FAIR Convergence Matrix development team for optimizing the reuse of existing FAIR-related resources. She obtained her PhD degree in bioinformatics of toxicogenomics from the University of Maastricht in 2012. She is a review editor for “Frontiers in Big Data”, member of the Advisory Board of the Wiley journal Genetics & Genomics Next, and co-author of more than 30 research publications.
Jaap Heringa
Jaap Heringa is full professor of Bioinformatics and director of the Centre for Integrative Bioinformatics (IBIVU) at Vrije Universiteit of Amsterdam, The Netherlands. Heringa has been scientific co-director of the Netherlands Bioinformatics Centre (NBIC) from 2009–2013. He has served as deputy Head of Node of ELIXIR-NL from 2013–2016, and since April 2016 as its Head of Node. Since 2014 he has been director of the Netherlands Bioinformatics and Systems Biology Research School (BioSB) and as of January 2016 he has been scientific lead of the Dutch Techcentre for Life Sciences (DTL). Heringa has been executive editor of Molecular Data Science since 2018and became head of the Department of Computer Science at Vrije Universiteit in that same year. His areas of research are Bioinformatics and Systems Biology, while current research interests revolve around formal modeling strategies, new sequence analysis strategies, protein structure and interaction prediction, cancer-related data integration, and semantic Web-based data stewardship and data-tools interoperability.
Rob W.W. Hooft
Rob Hooft is Manager of the Dutch tasks in the European ELIXIR infrastructure for life science data, at the Dutch Techcenter for Life Sciences (DTL). After working for many years in the industry, Rob moved back to the academic world and joined the Netherlands center for Bioinformatics, NBIC, as CTO for the service-directed program. Via a two-year excursion to the Netherlands eScience Center from where he ran the data program of DTL he is now working for DTL itself. Rob has been building up a body of knowledge on FAIR research data stewardship since early 2014. Rob also represents ELIXIR relations in the Research Data Alliance.
Melanie Imming
Melanie Imming authored reports on FAIR Data and Data Stewardship practices in The Netherlands for SURF and the Dutch National Contact Point for Research Data Management, LCRDM. As a consultant with a strong international network in the area of Open Science, FAIR Data and Digital Cultural Heritage, Melanie is experienced in project management and engaging stakeholders from different domains, and a known advocate for Open Science practices.
Keith G. Jeffery
Keith Jeffery is an independent consultant working on EPOS, ENVRIplus and ENVRIFAIR as well as on advanced CLOUD computing and Virtual research Environments. He is past Director IT atSTFC with 360,000 users, 1,100 servers and 140 staff. Keith holds three honorary visiting professorships, is a Fellow of the Geological Society and the British Computer Society, a Chartered Engineer & IT Professional and an Honorary Fellow of the Irish Computer Society. Keith is past President of ERCIM and euroCRIS, and serves on international expert groups, conference boards and assessment panels. He had advised government on IT. He chaired the EC Expert Groups on GRIDs and on CLOUD Computing.
Rajaram Kaliyaperumal
Rajaram Kaliyaperumal was born in Pondicherry, India. He received a B. Tech degree in Biomedical Engineering from Pondicherry University, India in 2008 and an M.Sc degree in Biomedical Engineering from Linköping University, Sweden in 2011. In 2012 he joined the department of Computer and Information Science, Linköping University as a software engineer. During this time he developed methods and tools to align and repair ontologies. In 2013 he joined the Biosemantics group, Leiden, in the Netherlands as a software developer. His current research activities include investigating the use of semantic Web technology in the context of FAIR data and developing prototypes to demonstrate the use of FAIR data.
Martijn G. Kersloot
Martijn Kersloot is a PhD candidate at the Department of Medical Informatics in the Amsterdam UMC in collaboration with Electronic Data Capture platform Castor EDC. He has a background in Medical Informatics and his research focuses on the creation of a scalable solution that will aid in the standardization of medical research data.
Christine R. Kirkpatrick
Tobias Kuhn
Tobias Kuhn is an assistant professor at the Computer Science department of the VU University Amsterdam. After receiving his PhD at the Institute of Computational Linguistics of the University of Zurich in 2010, he worked at the University of Malta, Yale University, and ETH Zurich. His research interests span fields including knowledge representation, controlled natural language, socio-technical systems, and scholarly communication. His recent work focuses on the approach of nanopublications, how cryptographic methods and provenance modelling can support trust and reliability, and how this can support the initiatives around the FAIR principles for data management.
Ignasi Labastida
Ignasi Labastida is currently the work at the Head of the Research Unit at the University of Barcelona’s Learning and Research Resources Centre (CRAI) where he also leads the Office for the Dissemination of Knowledge. He is currently chairing the Board of SPARC Europe and he is a member of the Steering Committee of the Info and Open Access Policy Group at the League of European Research Universities (LERU). He is the co-author of the LERU Roadmap for Research Data and the LERU Roadmap on Open Science. He has participated in several research projects including LEARN, a EU H2020 project focused on helping research performing institutions in managing their research data.
Barbara Magagna
Barbara Magagna holding a master degree in landscape planning and in geoinformatics, has24 years of experience working in the field of GIS, landscape ecology modelling and data base management for projects operating at different scales. Her interests and formation moved in the last years also towards ontology engineering and process facilitation, abilities she could already apply in several national and European semantic projects. She had been working for the University of Natural Resources and Applied Life Sciences, the University of Vienna and since December 2007for the Federal Environment Agency (Umweltbundesamt GmbH) where she undertakes the function of a semantic analyst and database designer. She was involved in FP7 and H2020 projects as facilitator in the development process of terminologies like SERONTO and EnvThes. She has experience as work package lead related to data management, in the design of UML models and XML schemas in the air quality data reporting area, in the design of semantic models in projects related to Environmental Research Infrastructures (ENVRI).
Peter McQuilton
Peter McQuilton holds a 1st class BSc (Hons) degree in Genetics from the University of Leeds (2000) and a PhD (2004) in Drosophila neurodevelopment from the University of Cambridge. Peter has spent over 15 years working in the fields of bioinformatics, biocuration and data wrangling, first as a genetic literature curator at FlyBase, the premier database on drosophila genes and genomes, and then as part of the Data Readiness Group at the Oxford e-Research Centre. As part of the Data Readiness Group, Peter leads the FAIRsharing project. FAIRsharing is a manually curated, searchable portal of interlinked standards, databases and policies, from all domains.
Natalie Meyers
Natalie Meyers is an E-Research librarian at University of Notre Dame’s Navari Family Center for Digital Scholarship where she helps pioneer and provide research data consulting services, including more in-depth data management services in support of grant-funded research. She serves as an ambassador and advisor to groups and individuals regarding data and digital content management. She provides advice & works with units across campus and externally to provide collaborative, team-based support for reproducible research, data management and software preservation needs, as well as data and metadata services for the Navari Center for Digital Scholarship.
Annalisa Montesanti
Annalisa Montesanti is the Program Manager at the Health Research Board (HRB). She is responsible for developing and managing a portfolio for health research careers in order to develop a coordinated approach to building capacity in health research in Ireland. She has developed a framework promoting the training, support and career development of academic researchers and health practitioners with the long-term goal of training individuals as collaborative researcher in order to generate ideas and undertake research, drive the integration of research and evidence into policy and practice, thus improving decision-making and, ultimately, health outcomes and creating a wider impact in society. Annalisa is also deeply involved in promoting open science, FAIR data and research data stewardship through several international collaborations. Annalisa had many years of experience in scientific research in Italy, England and Ireland. She has a BSc from Palermo University in Italy and a PhD in cancer biology from the Institute of Molecular Medicinein Oxford, UK.
Mirjam van Reisen
Mirjam van Reisen is Professor International Relations, Innovation and Care at Tilburg University and Professor Computing for Society at Leiden Centre for Data Science, at the University of Leiden. Van Reisen is Research Leader of the Globalization, Accessibility, Innovation and Care (GAIC) network. Van Reisen is the Coordinator of the Go-FAIR Implementation Network Africa. Van Reisen is a member of the Dutch Advisory Council on International Affairs (AIV) and Chair of the Development Assistance Committee (COS). Van Reisen leads the organization EEPA in Brussels. She is a member of the Board of Philips Foundation and the SNV Netherlands Development Organization. Van Reisen received the Golden Image Award in 2012 by President Ellen Johnson Sirleaf.
Philippe Rocca-Serra
Philippe Rocca-Serra, after an engineering degree from University of Rennes, received his PhD in Molecular Genetics from University of Bordeaux. He worked at EMBL-EBI in helping establish the European microarray archive. He has 10 years of practice in data management and has been an active member of several standardization efforts, aiming at promoting open data and open science vision. He is technical coordinator of the ISA project, part of the OBO Foundry editorial board and participates in resource development as part of the OBI project.
Robert Pergl
Robert Pergl is an Associate Professor at Department of Software Engineering, Faculty of Information Technologies of Czech Technical University in Prague, Czech Republic, where he founded “Centre for Conceptual Modelling and Implementation”, a group focusing on research, development and applications of methods and tools for ontological engineering, enterprise engineering, software engineering and data stewardship. Robert Pergl is a National Node Committee member of ELIXIRCzech Republic. He is a member of several GO FAIR initiatives and projects and together with Rob Hooft he leads the Data Stewardship Wizard development. Contribution: Leading the authors’ team and authoring process, communications author, copy-editing and quality assurance, DataStewardship Wizard details.
Susanna-Assunta Sansone
Susanna-Assunta Sansone is an Associate Director, Associate Professor and Principal Investigator at the Oxford e-Research Centre, part of the Department of Engineering Science at the University of Oxford. She is one of the authors of the FAIR principles and an active contributor to a variety of community-driven FAIR-enabling efforts. Her group researches and develops methods and tools to improve data reuse, for data transparency, research integrity and the evolution of scholarly publishing:
Luiz Olavo Bonino da Silva Santos
Luiz Olavo Bonino da Silva Santos is the International Technology Coordinator of the GO FAIR International Support and Coordination Office, and Associate Professor of the BioSemantics group at the Leiden University Medical Centre in Leiden, The Netherlands. His background is in ontology driven conceptual modelling, semantic interoperability, service-oriented computing, requirements engineering and context-aware computing. In the last five years Luiz has been involved in a number of activities to realize the FAIR principles, including the development of a number of technologies and tools to support making, publishing, indexing, searching and annotating FAIR (meta)data.
Juliane Schneider
In a 20-year career specializing in metadata, ontologies and discovery, Juliane Schneider has worked in start-ups, on Wall Street in an insurance library, at New York University medical center, for EBSCO publishing, and at The University California, San Diego in the Research Data Curation Program. Her longest stint at any job was the six years she spent at Countway Library as the Metadata Librarian, and now she has returned to Harvard as the Team Lead/Lead Data Curator for Harvard Catalyst.
George Strawn
George O. Strawn is currently the director of the Board on Research Data and Information at the National Academies of Sciences, Engineering, and Medicine where he focuses on Open Science and FAIR data. Prior to joining the Academies, Dr. Strawn was the director of the National Coordination Office (NCO) for the Networking and Information Technology Research and Development (NITRD) Program and co-chair of the NITRD interagency committee.
Mark Thompson
Mark Thompson is a senior research scientist in the Biosemantics group at the Human Genetics department of Leiden University Medical Centre. He obtained a PhD in Computer Science from the University of Amsterdam in 2012. He has expertise in hardware and software architecture (co-)design, data management, data modeling, FAIR data infrastructure and computational aspects of knowledge discovery.
Andra Waagmeester
Tobias Weigel
Tobias Weigel is working at the German Climate Computing Center (DKRZ) in the area of e-infrastructures. Tobias has worked extensively on Digital Object and Persistent Identifier services in multiple contexts, including community cyber infrastructures (ESGF, ENVRI) and cross-disciplinary infrastructures (EUDAT, EOSC). He has co-chaired multiple working groups of the Research Data Alliance (RDA) to convene on technical recommendations in the area of identifiers, metadata and related e-infrastructures services. Tobias is editorial board member of the CODATA Data Science Journal and member of the RDA Technical Advisory Board. Tobias holds a PhD from University of Hamburg in computer science.
Mark D. Wilkinson
Mark D. Wilkinson is Fundacion BBVA Chair in Biotechnology and Isaac Peral Distinguished Researcher at the Center for Plant Biotechnology and Genomics, Technical University of Madrid. For the past 15 years, his laboratory has focused on designing biomedical data/tool representation, discovery, and automated reuse infrastructures - what would now be called “FAIR”. He is lead author of the primary FAIR Data Principles paper, and lead author on the first paper describing a reference implementation of those principles over legacy data. He is a founding member of the FAIR Metrics Authorship Group, tasked with defining the precise, measurable behaviors that FAIR resources should exhibit. Beyond FAIR, his laboratory also studies the application of Artificial Intelligence techniques to the problem of microbiome engineering.
Egon Willighagen
Egon Willighagen is applying cheminformatics and chemometrics to biological questions as Assistant Professor at Maastricht University. He has been promoting Open Science for many years and is Editor-in-Chief of the Journal of Cheminformatics.
Peter Wittenburg
Peter Wittenburg was Executive Director of Research Data Alliance (RDA) Europe, Member of RDA Technical Advisory Board, and Scientific Coordinator of European Data Infrastructure (EUDAT).He set up and led the Technical Group with about 30 experts at Max Planck Institute (MPI) for Psycholinguistics and then led the Language Archiving Group with about 25 experts. Since 2000he has played leading roles in a variety of European (funded by the European Commission) and national projects (funded by MPS, DFG, BMBF, NWO 23) and ISO initiatives (ISO TC37/SC4). Hewon the Heinz Billing Award of the MPS for the advancement of scientific computation in 2011and received an honorary doctorate from University Tübingen in 2013.
Marco Roos
Marco Roos is assistant professor and group leader of the Biosemantics group of the Leiden University Medical Centre (Human Genetics Department). The group is known for co-founding and advocating the FAIR data principles. His research focus is on making state-of-the-art computer science applicable to enhance biomedical research (e-Science), particularly the application of computational knowledge discovery and linked data techniques to address translational research challenges of rare human diseases. At an international level, Marco is focused on the implementation of FAIR principles to create a powerful substrate and worldwide robust infrastructure for knowledge discovery across distributed rare disease data resources.
Barend Mons
Barend Mons is Professor of BioSemantics at the Human Genetics Department of Leiden University Medical Center and founder of the BioSemantics group. He was elected CODATA President in2018. Next to his leading role in the research of the group, Barend plays a leading role in the international development of “data stewardship” for biomedical data. For instance, he was head of-node of ELIXIR-NL at the Dutch Techcentre for Life Sciences (until 2015), is Integrator Life Sciences at the Netherlands eScience Center, and board member of the Leiden Center of Data Science. In 2014, Barend initiated the FAIR data initiative and in 2015, he was appointed Chair of the European Commission’s High Level Expert Group for the “European Open Science Cloud”, from which he retired by the end of 2016. Presently, Barend is co-leading the GO FAIR initiative, an initiative to kick start developments towards the Internet of FAIR data and services, which will also contribute to the implementation of components of the European Open Science Cloud. The focus of the contribution of the BioSemantics group is on developing an interoperability backbone for biomedical applications in general and rare disease in particular.
Erik Schultes
Erik Schultes is International Science Coordinator at the GO FAIR International Support and Coordination Office where he has been working with a diverse community of stakeholders to develop FAIR data and services. Erik is also a member of the Leiden Center for Data Science at Leiden University. Erik is an evolutionary biologist with long standing interests in data-intensive research. In addition to private consulting, he has held previous academic appointments at the University of California, Los Angeles, The Whitehead Institute for Biomedical Research at the Massachusetts Institute of Technology, Duke University, and The Santa Fe Institute.
Publication records
Published: None (Versions3
Data Intelligence