Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data. / McQuilton, Peter; Batista, Dominique; Beyan, Oya; Granell, Ramon; Coles, Simon; Izzo, Massimiliano; Lister, Allyson L; Pergl, Robert; Rocca-Serra, Philippe; Schaap, Ben; Shanahan, Hugh; Thurston, Milo; Sansone, Susanna-Assunta.

In: Data Intelligence, Vol. 2, No. 1-2, 31.01.2020, p. 151-157.

Research output: Contribution to journalArticlepeer-review

E-pub ahead of print

Standard

Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data. / McQuilton, Peter; Batista, Dominique; Beyan, Oya; Granell, Ramon; Coles, Simon; Izzo, Massimiliano; Lister, Allyson L; Pergl, Robert; Rocca-Serra, Philippe; Schaap, Ben; Shanahan, Hugh; Thurston, Milo; Sansone, Susanna-Assunta.

In: Data Intelligence, Vol. 2, No. 1-2, 31.01.2020, p. 151-157.

Research output: Contribution to journalArticlepeer-review

Harvard

McQuilton, P, Batista, D, Beyan, O, Granell, R, Coles, S, Izzo, M, Lister, AL, Pergl, R, Rocca-Serra, P, Schaap, B, Shanahan, H, Thurston, M & Sansone, S-A 2020, 'Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data', Data Intelligence, vol. 2, no. 1-2, pp. 151-157. https://doi.org/10.1162/dint_a_00037

APA

McQuilton, P., Batista, D., Beyan, O., Granell, R., Coles, S., Izzo, M., Lister, A. L., Pergl, R., Rocca-Serra, P., Schaap, B., Shanahan, H., Thurston, M., & Sansone, S-A. (2020). Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data. Data Intelligence, 2(1-2), 151-157. https://doi.org/10.1162/dint_a_00037

Vancouver

McQuilton P, Batista D, Beyan O, Granell R, Coles S, Izzo M et al. Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data. Data Intelligence. 2020 Jan 31;2(1-2):151-157. https://doi.org/10.1162/dint_a_00037

Author

McQuilton, Peter ; Batista, Dominique ; Beyan, Oya ; Granell, Ramon ; Coles, Simon ; Izzo, Massimiliano ; Lister, Allyson L ; Pergl, Robert ; Rocca-Serra, Philippe ; Schaap, Ben ; Shanahan, Hugh ; Thurston, Milo ; Sansone, Susanna-Assunta. / Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data. In: Data Intelligence. 2020 ; Vol. 2, No. 1-2. pp. 151-157.

BibTeX

@article{42c5635bb39648108b52138c506e8fd6,
title = "Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data",
abstract = "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. ",
keywords = "FAIR data, repositories",
author = "Peter McQuilton and Dominique Batista and Oya Beyan and Ramon Granell and Simon Coles and Massimiliano Izzo and Lister, {Allyson L} and Robert Pergl and Philippe Rocca-Serra and Ben Schaap and Hugh Shanahan and Milo Thurston and Susanna-Assunta Sansone",
year = "2020",
month = jan,
day = "31",
doi = "10.1162/dint_a_00037",
language = "English",
volume = "2",
pages = "151--157",
journal = "Data Intelligence",
issn = "2641-435X",
publisher = "MIT Press",
number = "1-2",

}

RIS

TY - JOUR

T1 - Helping the Consumers and Producers of Standards, Repositories and Policies to Enable FAIR Data

AU - McQuilton, Peter

AU - Batista, Dominique

AU - Beyan, Oya

AU - Granell, Ramon

AU - Coles, Simon

AU - Izzo, Massimiliano

AU - Lister, Allyson L

AU - Pergl, Robert

AU - Rocca-Serra, Philippe

AU - Schaap, Ben

AU - Shanahan, Hugh

AU - Thurston, Milo

AU - Sansone, Susanna-Assunta

PY - 2020/1/31

Y1 - 2020/1/31

N2 - 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.

AB - 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.

KW - FAIR data

KW - repositories

U2 - 10.1162/dint_a_00037

DO - 10.1162/dint_a_00037

M3 - Article

VL - 2

SP - 151

EP - 157

JO - Data Intelligence

JF - Data Intelligence

SN - 2641-435X

IS - 1-2

ER -