Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F20%3A00357215" target="_blank" >RIV/68407700:21240/20:00357215 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1162/dint_a_00037" target="_blank" >https://doi.org/10.1162/dint_a_00037</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1162/dint_a_00037" target="_blank" >10.1162/dint_a_00037</a>

Result language

angličtina

Original language name

Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data

Original language description

Thousands of community-developed (meta)data guidelines, models, ontologies, schemas and formats have been created and implemented by several thousand data repositories and knowledge-bases, across all disciplines. These resources are necessary to meet government, funder and publisher expectations of greater transparency and access to and preservation of data related to research publications. This obligates researchers to ensure their data is FAIR, share their data using the appropriate standards, store their data in sustainable and community-adopted repositories, and to conform to funder and publisher data policies. FAIR data sharing also plays a key role in enabling researchers to evaluate, re-analyse and reproduce each other's work. We can map the landscape of relationships between community-adopted standards and repositories, and the journal publisher and funder data policies that recommend their use. In this paper, we show how the work of the GO-FAIR FAIR Standards, Repositories and Policies (StRePo) Implementation Network serves as a central integration and cross-fertilisation point for the reuse of FAIR standards, repositories and data policies in general. Pivotal to this effort, the FAIRsharing, an endorsed flagship resource of the Research Data Alliance that maps the landscape of relationships between community-adopted standards and repositories, and the journal publisher and funder data policies that recommend their use. Lastly, we highlight a number of activities around FAIR tools, services and educational efforts to raise awareness and encourage participation.

Czech name

—

Czech description

—

Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Data Intelligence

ISSN

2641-435X

e-ISSN

2641-435X

Volume of the periodical

2

Issue of the periodical within the volume

1-2

Country of publishing house

CN - CHINA

Number of pages

7

Pages from-to

151-157

UT code for WoS article

000691825600016

EID of the result in the Scopus database

2-s2.0-85090182574