The Need of Industry to Go FAIR

Author:

van Vlijmen Herman1,Mons Albert2ORCID,Waalkens Arne3,Franke Wouter4,Baak Arie5,Ruiter Gerbrand6,Kirkpatrick Christine7,da Silva Santos Luiz Olavo Bonino8,Meerman Bert9,Jellema Renger10,Arts Derk11,Kersloot Martijn11,Knijnenburg Sebastiaan11,Lusher Scott1,Verbeeck Rudi1,Neefs Jean-Marc1

Affiliation:

1. Janssen Pharmaceuticals, Antwerpseweg 15, 2340 Beerse, Belgium

2. Phortos Consultants, The Netherlands

3. Accenture, Gustav Mahlerplein 90, 1082 MA Amsterdam, The Netherlands

4. Zorg Instituut Nederland, Willem Dudokhof 1, 1112 ZA Diemen, The Netherlands

5. Euretos, Yalelaan 1, 3584 CL Utrecht, The Netherlands

6. Mobiquity, Tommaso Albinonistraat 9, 1083 HM Amsterdam, The Netherlands

7. UCSD and National Data Service, 10100 Hopkins Dr, La Jolla, CA 92093, USA

8. GO FAIR International Support & Coordination Office (GFISCO), Leiden, The Netherlands

9. GO FAIR Foundation, Rijnsburgerweg 10, 2333 AA Leiden, The Netherlands

10. DSM Biotechnology Center, Alexander Fleminglaan 1, 2613 AX Delft, The Netherlands

11. Castor, Paasheuvelweg 25, Vleugel 5D, 1105 BP Amsterdam, The Netherlands

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”.

Publisher

MIT Press - Journals

Subject

General Earth and Planetary Sciences,General Environmental Science

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