The Need of Industry to Go FAIR
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...
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Published in: | Data intelligence Vol. 2; no. 1-2; pp. 276 - 284 |
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Main Authors: | , , , , , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
One Rogers Street, Cambridge, MA 02142-1209, USA
MIT Press
01-01-2020
MIT Press Journals, The |
Subjects: | |
Online Access: | Get full text |
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Summary: | 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”. |
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Bibliography: | Winter-Spring, 2020 |
ISSN: | 2641-435X 2641-435X |
DOI: | 10.1162/dint_a_00050 |