JRC FAIR Data Guidelines

Hagar Lowenthal; Luiz Olavo Bonino da Silva Santos; Chiara Chiarelli; Alberto Cusinato; Carlo Ferigato; Anders FRIIS-CHRISTENSEN; Thomas Kemper; Domenico Perrotta; Clemens Wittwehr

doi:10.2760/5646214

JRC FAIR Data Guidelines

Hagar Lowenthal^*
, Luiz Olavo Bonino da Silva Santos
, Chiara Chiarelli
, Alberto Cusinato
, Carlo Ferigato
, Anders FRIIS-CHRISTENSEN
, Thomas Kemper
, Domenico Perrotta
, Clemens Wittwehr

^*Corresponding author for this work

Semantics, Cybersecurity & Services

Research output: Book/Report › Report › Academic

1 Downloads (Pure)

Abstract

The JRC Data Policy requires that JRC Data be managed following the FAIR (Findable, Accessible, Interoperable, Reusable) Principles. This paper is a deliverable of the JRC Data Strategy in its call to publish Guidelines to support and enhance the FAIRness of JRC data. The paper provides a framework for evaluating and increasing the level of adherence of JRC datasets to the FAIR Principles, while taking into account specific solutions and strategies available to data publishers. It proposes five progressive levels of FAIR Maturity, indicating which of the FAIR maturity indicators the levels follow and suggesting steps that can improve their FAIR maturity level.

Original language	English
Publisher	Publications Office of the European Union
Number of pages	38
ISBN (Electronic)	978-92-68-24742-6
DOIs	https://doi.org/10.2760/5646214
Publication status	Published - 17 Feb 2025

Publication series

Name	EUR
Publisher	European Commission
Volume	40231
ISSN (Print)	1831-9424

Access to Document

10.2760/5646214

ReportFinal published version, 947 KB

Cite this

@book{8a33eb3d2f664fb499be747bcf9eec8b,

title = "JRC FAIR Data Guidelines",

abstract = "The JRC Data Policy requires that JRC Data be managed following the FAIR (Findable, Accessible, Interoperable, Reusable) Principles. This paper is a deliverable of the JRC Data Strategy in its call to publish Guidelines to support and enhance the FAIRness of JRC data. The paper provides a framework for evaluating and increasing the level of adherence of JRC datasets to the FAIR Principles, while taking into account specific solutions and strategies available to data publishers. It proposes five progressive levels of FAIR Maturity, indicating which of the FAIR maturity indicators the levels follow and suggesting steps that can improve their FAIR maturity level.",

author = "Hagar Lowenthal and \{Bonino da Silva Santos\}, \{Luiz Olavo\} and Chiara Chiarelli and Alberto Cusinato and Carlo Ferigato and Anders FRIIS-CHRISTENSEN and Thomas Kemper and Domenico Perrotta and Clemens Wittwehr",

year = "2025",

month = feb,

day = "17",

doi = "10.2760/5646214",

language = "English",

series = "EUR",

publisher = "Publications Office of the European Union",

address = "Luxembourg",

}

TY - BOOK

T1 - JRC FAIR Data Guidelines

AU - Lowenthal, Hagar

AU - Bonino da Silva Santos, Luiz Olavo

AU - Chiarelli, Chiara

AU - Cusinato, Alberto

AU - Ferigato, Carlo

AU - FRIIS-CHRISTENSEN, Anders

AU - Kemper, Thomas

AU - Perrotta, Domenico

AU - Wittwehr, Clemens

PY - 2025/2/17

Y1 - 2025/2/17

N2 - The JRC Data Policy requires that JRC Data be managed following the FAIR (Findable, Accessible, Interoperable, Reusable) Principles. This paper is a deliverable of the JRC Data Strategy in its call to publish Guidelines to support and enhance the FAIRness of JRC data. The paper provides a framework for evaluating and increasing the level of adherence of JRC datasets to the FAIR Principles, while taking into account specific solutions and strategies available to data publishers. It proposes five progressive levels of FAIR Maturity, indicating which of the FAIR maturity indicators the levels follow and suggesting steps that can improve their FAIR maturity level.

AB - The JRC Data Policy requires that JRC Data be managed following the FAIR (Findable, Accessible, Interoperable, Reusable) Principles. This paper is a deliverable of the JRC Data Strategy in its call to publish Guidelines to support and enhance the FAIRness of JRC data. The paper provides a framework for evaluating and increasing the level of adherence of JRC datasets to the FAIR Principles, while taking into account specific solutions and strategies available to data publishers. It proposes five progressive levels of FAIR Maturity, indicating which of the FAIR maturity indicators the levels follow and suggesting steps that can improve their FAIR maturity level.

U2 - 10.2760/5646214

DO - 10.2760/5646214

M3 - Report

T3 - EUR

BT - JRC FAIR Data Guidelines

PB - Publications Office of the European Union

ER -