Published Versions 2 Vol 2 (1) : 276–284 2019
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The Need of Industry to go FAIR
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Abstract & Keywords
Abstract: The industry sector is a very large producer and consumer of data, and many companies traditionally focused on production or manufacturing are now relying on the analysis of large amounts of data to develop new products and services. As many of the data sources needed are distributed and outside the company, FAIR data will have a major impact, both by reducing the existing internal data silos and by enabling the efficient integration with external (public and commercial) data. Many companies are still in the early phases of internal data ‘FAIRification’, providing opportunities for SMEs and academics to apply and develop their expertise on FAIR data in collaborations and public-private partnerships. For a global Internet of FAIR Data & Services to thrive, also involving industry, professional tools and services are essential. FAIR metrics and certifications on individuals, data, organizations, and software, must ensure that data producers and consumers have independent quality metrics on their data. In this opinion article we reflect on some industry specific challenges of FAIR implementation to be dealt with when choices are made regarding ‘Industry GOing FAIR’.
Keywords: FAIR application
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Article and author information
Cite As
H. van Vlijmen, A. Mons, A. Waalkens, W. Franke, A. Baak, G. Ruiter, ... & J.-M. Neefs. The need of Industry to go FAIR. Data Intelligence 2(2020), 276–284. doi: 10.1162/dint_a_00050
Herman van Vlijmen
A. Mons (albert.mons@phortosconsultants.com) designed the outline of the article and wrote a first outline which was reviewed and augmented by H. van Vlijmen (hvvlijme@its.jnj.com) after which all authors wrotesections of the article based upon there specific background and experience. All authors contributed to the writing and provided critical feedback to help shape the manuscript. In addition, all authors edited andreviewed the final version of the article.
hvvlijme@its.jnj.com
Herman van Vlijmen graduated with a Master’s degree in Bio-Pharmaceutical Sciences at LeidenUniversity in The Netherlands and a PhD degree in Physical Chemistry at Harvard University. Heworked nine years at the biotech company Biogen in the Boston area, ultimately as Senior Scientist,in the computational design of small molecule drugs and protein therapeutics. In 2005 he joinedTibotec, a Johnson and Johnson company focusing on infectious diseases, as Director ofComputational Drug Design. He is now Head of Computational Chemistry in the DiscoverySciences organization at Janssen, Pharmaceutical companies of Johnson & Johnson, located inBelgium. Since 2008 he is also Adjunct Professor of Computational Drug Discovery at LeidenUniversity. Herman has more than 70 peer reviewed publications and is inventor on eight patents.He is the Industry Project Leader of the IMI FAIRplus project, which is developing best practicesin FAIRification of data from IMI projects and internal pharma data.
0000-0001-8038-7572
Albert Mons
A. Mons (albert.mons@phortosconsultants.com) designed the outline of the article and wrote a first outline which was reviewed and augmented by H. van Vlijmen (hvvlijme@its.jnj.com) after which all authors wrotesections of the article based upon there specific background and experience. All authors contributed to the writing and provided critical feedback to help shape the manuscript. In addition, all authors edited andreviewed the final version of the article.
Albert Mons is one of the founding partners of Phortos Consultants, a consultancy practice toacademic institutions and private companies specializing in FAIR data and services solutions. Overthe years Albert and his partners have founded and cofounded a number of start-ups in the fieldof bio-informatics & semantics, data integration and support, network solutions and big datasolutions. One of them is Euretos, a platform provider for AI driven hypothesis generation andInSilico Target/Biomarker Discovery and Validation. Recently, Albert has been appointed InternationalProject Manager GO FAIR running the global Business Development and coordinating the partnersin the technical Implementation process lead. In addition he was a member of the writing teamfor the European Open Science Cloud Implementation movement “GOFAIR”. Albert also providesFAIR trainings focusing on FAIR Data Stewardship, Ontology and Semantic Modeling and relatedFAIR services. Recently, in collaboration with the GO FAIR Foundation, Albert initiated (and nowchairs) the GO FAIR Service Provider Consortium including, amongst others, Accenture, KPMG,Deloitte, and several SME’s providing professional FAIR related consulting and implementations.
0000-0001-8038-7572
Arne Waalkens
All authors contributed to the writing and provided critical feedback to help shape the manuscript. In addition, all authors edited andreviewed the final version of the article.
Wouter Franke
All authors contributed to the writing and provided critical feedback to help shape the manuscript. In addition, all authors edited andreviewed the final version of the article.
Wouter Franke is a consultant for the Dutch National Health Care Institute with a backgroundin Computer Science and Change Management. He has extensive experience with largeimplementations of data exchange programs in complex networks of public and private organizationswithin the Dutch healthcare. Since 2017 he has been working on both research and developmentof FAIR and the Internet of FAIR Data & Services, and the implementation of FAIR within programsrun by the Dutch National Health Care Institute. His goal is to ensure data within healthcare areavailable to a wide range of stakeholders and can be interpreted by machines. This in turn willgreatly increase the value of existing and emerging capabilities in the field of data science,ultimately resulting in better prevention and healthcare systems.
0000-0001-5058-3767
Arie Baak
All authors contributed to the writing and provided critical feedback to help shape the manuscript. In addition, all authors edited andreviewed the final version of the article.
Arie Baak is one of the co-founders of Euretos, an AI platform used by (pre-)clinical researchersto take a in-silico, systems biology approach to the identification & validation of targets, biomarkersand indications. For the first two decades of his career, Arie has worked in various customer facingstrategic innovation roles in the mobile telecoms and Internet infrastructure markets. In this highperformance/high volume environment he has been developing analytics solutions that provideactionable insight to end users long before the term “big data analytics” became fashionable. Since2010 Arie has been applying his expertise to the life sciences where has worked with some of theworld’s leading pharma, biotech and academic institutions to develop a data & AI driven approachto life sciences research.
0000-0003-2829-6715
Gerbrand Ruiter
All authors contributed to the writing and provided critical feedback to help shape the manuscript. In addition, all authors edited andreviewed the final version of the article.
Christine Kirkpatrick
All authors contributed to the writing and provided critical feedback to help shape the manuscript. In addition, all authors edited andreviewed the final version of the article.
Christine Kirkpatrick oversees the San Diego Supercomputer Center’s (SDSC) Research DataServices division, which manages infrastructure, networking, and services for research projects ofregional and national scope. Kirkpatrick is a recognized expert in the implementation of researchcomputing services, with an emphasis on data science workloads, as well as operationalcyberinfrastructure (CI) at scale. Kirkpatrick founded and hosts the US GO FAIR Office at SDSC, isthe Executive Director of the US National Data Service (NDS), and Co-PI and Deputy Director ofthe West Big Data Innovation Hub (WBDIH). She co-chairs the All (Big Data) Hub InfrastructureWorking Group and is co-PI of the Open Storage Network. Kirkpatrick received her master’s degreefrom the Jacobs School of Engineering at University of California San Diego. She serves on theTechnical Advisory Board (TAB) for the Research Data Alliance (RDA), and the external AdvisoryBoards for the European Open Science Cloud (EOSC) Hub and EOSC Nordic.
0000-0002-4451-8042
Luiz Olavo Bonino da Silva Santos
All authors contributed to the writing and provided critical feedback to help shape the manuscript. In addition, all authors edited andreviewed the final version of the article.
Luiz Olavo Bonino da Silva Santos is the International Technology Coordinator of the GO FAIRInternational Support and Coordination Office, and Associate Professor of the BioSemantics groupat the Leiden University Medical Centre in Leiden, The Netherlands. His background is in ontologydriven conceptual modelling, semantic interoperability, service-oriented computing, requirementsengineering and context-aware computing. In the last five years Luiz has been involved in a numberof activities to realize the FAIR principles, including the development of a number of technologiesand tools to support making, publishing, indexing, searching and annotating FAIR (meta)data.
0000-0002-1164-1351
Bert Meerman
All authors contributed to the writing and provided critical feedback to help shape the manuscript. In addition, all authors edited andreviewed the final version of the article.
Bert Meerman is the Director of the GO FAIR Foudation (GFF). GFF supports the InternationalGO FAIR Office, mainly in the area of paving the wave for implementing a coherent certificationprogram. Bert is a senior business executive with a successful track record in Finance, Network,Information and Data technology. Bert has worked in a variety of management roles in differentcountries, mostly for American software companies. In addition, Bert has been the SecretaryGeneral of the International Factors Group, a consortium of finance companies where heimplemented a successful worldwide data-exchange platform, based upon agreed networkprotocols and EDIFACT standards. Bert is a business economist, with an MBA from the ErasmusUniversity in Rotterdam.
0000-0002-0071-2660
Renger Jellema
All authors contributed to the writing and provided critical feedback to help shape the manuscript. In addition, all authors edited andreviewed the final version of the article.
Renger Jellema, PhD, DSM Biotechnology Center (The Netherlands), has a track record of morethan 20 years working in the field of chemometrics and data science. His roots are in analyticalchemistry for which he obtained a Bachelor’s degree in 1992. Renger studied chemistry at theUniversity of Nijmegen (Radboud University) which he finished in 1995. Subsequently he did hisPhD at the University of Amsterdam in a collaboration with the steel company Corus. After a shortappointment at the Central Bureau of Statistics (CBS) he obtained a position at TNO Quality ofLife, Zeist where he worked in the field of chemometrics as Product Manager of the product group“Analytical Information Sciences” until 2009. In his current employment at DSM, Renger is activein the field of data science where he is involved in several projects to extract more value out ofdata and implement digital tools within a Biotechnology environment.
0000-0003-2435-6178
Derk Arts
All authors contributed to the writing and provided critical feedback to help shape the manuscript. In addition, all authors edited andreviewed the final version of the article.
Derk Arts has over 12 years of experience in medicine, research and data management, and hasbeen involved in several projects integrating complex and diverse data sources. He received hisMD from Vrije University in 2011 and his PhD on decision support and machine learning fromthe University of Amsterdam in 2016. During his MD training, Dr. Arts identified a major problemin medical research. Due to the unavailability of affordable, user-friendly data capture tools,researchers were deviating to non-compliant alternatives that reduce data quality, security, andreusability, and greatly increase waste. To solve these core issues, he founded Castor, a researchplatform that enables researchers to easily capture, standardize and reuse medical research data.The platform is currently serving thousands of clinical studies, both commercial and academic,and has been integrated with EPIC and other EMR systems, using HL7 FHIR. Castor is capable ofgenerating machine readable data, which is one of the most promising capabilities for eClinicalsystems.
0000-0001-5702-5856
Martijn Kersloot
All authors contributed to the writing and provided critical feedback to help shape the manuscript. In addition, all authors edited andreviewed the final version of the article.
Martijn Kersloot is a PhD candidate at the Department of Medical Informatics in the AmsterdamUMC in collaboration with Electronic Data Capture platform Castor EDC. He has a background inMedical Informatics and his research focuses on the creation of a scalable solution that will aid inthe standardization of medical research data.
0000-0003-3357-3027
Sebastiaan Knijnenburg
All authors contributed to the writing and provided critical feedback to help shape the manuscript. In addition, all authors edited andreviewed the final version of the article.
Sebastiaan Knijnenburg is Chief Technology Officer at Castor EDC. With a PhD in MedicalInformatics and clinical research, Dr. Knijnenburg is dedicated to providing researchers withadvanced software to improve healthcare and research quality. He is passionate about datastandardization and FAIR data and implementing FHIR in the context of clinical research.
0000-0002-2475-6254
Scott Lusher
All authors contributed to the writing and provided critical feedback to help shape the manuscript. In addition, all authors edited andreviewed the final version of the article.
Scott Lusher is Janssen’s business technology leader for cheminformatics systems and DiscoverySciences globally, providing strategic technology partnership for 700 scientists, from medicinalchemistry, computational chemistry, data sciences, screening, compound logistics and DrugMetabolism and Pharmacokinetics. In this role he is responsible for developing and executingstrategic plans for data-driven and compute-intensive research practices, initiating new projectsand management of the overall portfolio of technology projects to enable small molecule discovery.Prior to joining Janssen, he was director of strategy and applied eScience at the NetherlandseScience Center in Amsterdam, enabling scientific IT approaches across Dutch academia. Duringthis time, he participated in the original FAIR workshop and is a coauthor of the resulting publicationsetting out the FAIR principles. Scott’s background is computer-aided drug discovery having spentfifteen years applying computational chemistry approaches in pharma and consumer productorganizations.
0000-0003-2401-4223
Rudi Verbeeck
All authors contributed to the writing and provided critical feedback to help shape the manuscript. In addition, all authors edited andreviewed the final version of the article.
Rudi Verbeeck, senior IT manager, holds a degree in civil electrotechnical-mechinical engineering(major: electronics) and in civil biomedical engineering from the university of Leuven (Belgium).He obtained a PhD in applied sciences on medical image processing with applications instereotactic neurosurgery (University hospital Gasthuisberg, Leuven) in 1996, awarded with theIBM Belgium prize for informatics. He continued in the same hospital as a post-doc in theradiotherapy department to establish a stereotactic radiosurgery capability. He joined JanssenPharmaceutica in 1998 as a project manager in the IT department responsible for projects inbioinformatics, chemoinformatics and statistics for discovery research. He gained experience inclinical data management when he moved to Tibotec in 2008. Recently, he has been involvedin the IMI/EMIF project (European Medical Information Framework) where he developed dataharmonization methods based on semantic Web technology. He is currently involved with the IMIFAIRplus project and with FAIR data and ontology management implementations in Janssen.
Jean-Marc Neefs
All authors contributed to the writing and provided critical feedback to help shape the manuscript. In addition, all authors edited andreviewed the final version of the article.
0000-0001-5445-6095
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References
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