The Need of Industry to Go FAIR

被引：17

作者：

van Vlijmen, Herman ^{[1
]}

Mons, Albert ^{[2
]}

Waalkens, Arne ^{[3
]}

Franke, Wouter ^{[4
]}

Baak, Arie ^{[5
]}

Ruiter, Gerbrand ^{[6
]}

Kirkpatrick, Christine ^{[7
,8
]}

Santos, Luiz Olavo Bonino da Silva ^{[9
]}

Meerman, Bert ^{[10
]}

Jellema, Renger ^{[11
]}

Arts, Derk ^{[12
]}

Kersloot, Martijn ^{[12
]}

Knijnenburg, Sebastiaan ^{[12
]}

Lusher, Scott ^{[1
]}

Verbeeck, Rudi ^{[1
]}

Neefs, Jean-Marc ^{[1
]}

机构：

[1] Janssen Pharmaceut, Antwerpseweg 15, B-2340 Beerse, Belgium

[2] Phortos Consultants, Leiden, Netherlands

[3] Accenture, Gustav Mahlerpl 90, NL-1082 MA Amsterdam, Netherlands

[4] Zorg Inst Nederland, Willem Dudokhof 1, NL-1112 LA Diemen, Netherlands

[5] Euretos, Yalelaan 1, NL-3584 CL Utrecht, Netherlands

[6] Mobiquity, Tommaso Albinonistr 9, NL-1083 HM Amsterdam, Netherlands

[7] UCSD, 10100 Hopkins Dr, La Jolla, CA 92093 USA

[8] Natl Data Serv, 10100 Hopkins Dr, La Jolla, CA 92093 USA

[9] Go FAIR Int Support & Coordinat Off GFISCO, Leiden, Netherlands

[10] GO FAIR Fdn, Rijnsburgerweg 10, NL-2333 AA Leiden, Netherlands

[11] DSM Biotechnol Ctr, Alexander Fleminglaan 1, NL-2613 AX Delft, Netherlands

[12] Castor, Paasheuvelweg 25, NL-1105 BP Amsterdam, Netherlands

来源：

DATA INTELLIGENCE | 2020年 / 2卷 / 1-2期

关键词：

FAIR application;

D O I：

10.1162/dint_a_00050

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 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".

引用

页码：276 / 284

页数：9

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