FAIR Principles for Research Software (FAIR4RS Principles)

Neil P. Chue Hong; Daniel S. Katz; Michelle Barker; Anna-Lena Lamprecht; Carlos Martinez; Fotis E. Psomopoulos; Jen Harrow; Leyla Jael Castro; Morane Gruenpeter; Paula Andrea Martinez; Tom Honeyman; Alexander Struck; Allen Lee; Axel Loewe; Ben van Werkhoven; Daniel Garijo; Esther Plomp; Francoise Genova; Hugh Shanahan; Maggie Hellström; Malin Sandström; Manodeep Sinha; Mateusz Kuzak; Patricia Herterich; Sharif Islam; Susanna-Assunta Sansone; Tom Pollard; Udayanto Dwi Atmojo; Alan Williams; Andreas Czerniak; Anna Niehues; Anne Claire Fouilloux; Bala Desinghu; Carole Goble; Céline Richard; Charles Gray; Chris Erdmann; Daniel Nüst; Daniele Tartarini; Elena Ranguelova; Hartwig Anzt; Ilian Todorov; James McNally; Jessica Burnett; Julián Garrido-Sánchez; Khalid Belhajjame; Laurents Sesink; Lorraine Hwang; Marcos Roberto Tovani-Palone; Mark D. Wilkinson; Mathieu Servillat; Matthias Liffers; Merc Fox; Nadica Miljković; Nick Lynch; Paula Martinez Lavanchy; Sandra Gesing; Sarah Stevens; Sergio Martinez Cuesta; Silvio Peroni; Stian Soiland-Reyes; Tom Bakker; Tovo Rabemanantsoa; Vanessa Sochat; Yo Yehudi; FAIR4RS WG

doi:10.15497/RDA00065

FAIR Principles for Research Software (FAIR4RS Principles)

Neil P. Chue Hong, Daniel S. Katz, Michelle Barker, Anna-Lena Lamprecht, Carlos Martinez, Fotis E. Psomopoulos, Jen Harrow, Leyla Jael Castro, Morane Gruenpeter, Paula Andrea Martinez, Tom Honeyman, Alexander Struck, Allen Lee, Axel Loewe, Ben van Werkhoven, Daniel Garijo, Esther Plomp, Francoise Genova, Hugh Shanahan, Maggie HellströmMalin Sandström, Manodeep Sinha, Mateusz Kuzak, Patricia Herterich, Sharif Islam, Susanna-Assunta Sansone, Tom Pollard, Udayanto Dwi Atmojo, Alan Williams, Andreas Czerniak, Anna Niehues, Anne Claire Fouilloux, Bala Desinghu, Carole Goble, Céline Richard, Charles Gray, Chris Erdmann, Daniel Nüst, Daniele Tartarini, Elena Ranguelova, Hartwig Anzt, Ilian Todorov, James McNally, Jessica Burnett, Julián Garrido-Sánchez, Khalid Belhajjame, Laurents Sesink, Lorraine Hwang, Marcos Roberto Tovani-Palone, Mark D. Wilkinson, Mathieu Servillat, Matthias Liffers, Merc Fox, Nadica Miljković, Nick Lynch, Paula Martinez Lavanchy, Sandra Gesing, Sarah Stevens, Sergio Martinez Cuesta, Silvio Peroni, Stian Soiland-Reyes, Tom Bakker, Tovo Rabemanantsoa, Vanessa Sochat, Yo Yehudi, FAIR4RS WG

Research output: Book/Report › Other report

Abstract

To improve the sharing and reuse of research software, the FAIR for Research Software (FAIR4RS) Working Group has applied the FAIR Guiding Principles for scientific data management and stewardship to research software, bringing together existing and new community efforts. Many of the FAIR Guiding Principles can be directly applied to research software by treating software and data as similar digital research objects. However, specific characteristics of software — such as its executability, composite nature, and continuous evolution and versioning — make it necessary to revise and extend the principles.

This document presents the first version of the FAIR Principles for Research Software (FAIR4RS Principles), and includes explanatory text to aid adoption. It is an outcome of the FAIR for Research Software Working Group (FAIR4RS WG) based on community consultations that started in 2019.

The FAIR for Research Software Working Group is jointly convened as a Research Data Alliance (RDA) Working Group, FORCE11 Working Group, and Research Software Alliance (ReSA) Task Force.

Original language	English
DOIs	https://doi.org/10.15497/RDA00065 https://doi.org/10.15497/RDA00068
Publication status	Published - 16 Mar 2022

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10.15497/RDA00065Licence: CC BY
10.15497/RDA00068Licence: CC BY

1 Article

How does software fit into the FDO landscape?
Martinez-Ortiz, C., Goble, C., Katz, D., Honeyman, T., Martinez, P., Barker, M., Castro, L. J., Chue Hong, N., Gruenpeter, M., Harrow, J., Lamprecht, A.-L. & Psomopoulos, F., 12 Oct 2022, In: Research Ideas and Outcomes. 8, e95724.
Research output: Contribution to journal › Article › peer-review

Open Access

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Hong, N. P. C., Katz, D. S., Barker, M., Lamprecht, A.-L., Martinez, C., Psomopoulos, F. E., Harrow, J., Castro, L. J., Gruenpeter, M., Martinez, P. A., Honeyman, T., Struck, A., Lee, A., Loewe, A., Werkhoven, B. V., Garijo, D., Plomp, E., Genova, F., Shanahan, H., ... WG, FAIRRS. (2022). FAIR Principles for Research Software (FAIR4RS Principles). https://doi.org/10.15497/RDA00065, https://doi.org/10.15497/RDA00068

@book{751dfce356e5441f8e3f8c1401e0a1e0,

title = "FAIR Principles for Research Software (FAIR4RS Principles)",

abstract = "To improve the sharing and reuse of research software, the FAIR for Research Software (FAIR4RS) Working Group has applied the FAIR Guiding Principles for scientific data management and stewardship to research software, bringing together existing and new community efforts. Many of the FAIR Guiding Principles can be directly applied to research software by treating software and data as similar digital research objects. However, specific characteristics of software — such as its executability, composite nature, and continuous evolution and versioning — make it necessary to revise and extend the principles.This document presents the first version of the FAIR Principles for Research Software (FAIR4RS Principles), and includes explanatory text to aid adoption. It is an outcome of the FAIR for Research Software Working Group (FAIR4RS WG) based on community consultations that started in 2019.The FAIR for Research Software Working Group is jointly convened as a Research Data Alliance (RDA) Working Group, FORCE11 Working Group, and Research Software Alliance (ReSA) Task Force.",

author = "Hong, {Neil P. Chue} and Katz, {Daniel S.} and Michelle Barker and Anna-Lena Lamprecht and Carlos Martinez and Psomopoulos, {Fotis E.} and Jen Harrow and Castro, {Leyla Jael} and Morane Gruenpeter and Martinez, {Paula Andrea} and Tom Honeyman and Alexander Struck and Allen Lee and Axel Loewe and Werkhoven, {Ben van} and Daniel Garijo and Esther Plomp and Francoise Genova and Hugh Shanahan and Maggie Hellstr{\"o}m and Malin Sandstr{\"o}m and Manodeep Sinha and Mateusz Kuzak and Patricia Herterich and Sharif Islam and Susanna-Assunta Sansone and Tom Pollard and Atmojo, {Udayanto Dwi} and Alan Williams and Andreas Czerniak and Anna Niehues and Fouilloux, {Anne Claire} and Bala Desinghu and Carole Goble and C{\'e}line Richard and Charles Gray and Chris Erdmann and Daniel N{\"u}st and Daniele Tartarini and Elena Ranguelova and Hartwig Anzt and Ilian Todorov and James McNally and Jessica Burnett and Juli{\'a}n Garrido-S{\'a}nchez and Khalid Belhajjame and Laurents Sesink and Lorraine Hwang and Tovani-Palone, {Marcos Roberto} and Wilkinson, {Mark D.} and Mathieu Servillat and Matthias Liffers and Merc Fox and Nadica Miljkovi{\'c} and Nick Lynch and Lavanchy, {Paula Martinez} and Sandra Gesing and Sarah Stevens and Cuesta, {Sergio Martinez} and Silvio Peroni and Stian Soiland-Reyes and Tom Bakker and Tovo Rabemanantsoa and Vanessa Sochat and Yo Yehudi and FAIR4RS WG",

year = "2022",

month = mar,

day = "16",

doi = "10.15497/RDA00065",

language = "English",

}

Hong, NPC, Katz, DS, Barker, M, Lamprecht, A-L, Martinez, C, Psomopoulos, FE, Harrow, J, Castro, LJ, Gruenpeter, M, Martinez, PA, Honeyman, T, Struck, A, Lee, A, Loewe, A, Werkhoven, BV, Garijo, D, Plomp, E, Genova, F, Shanahan, H, Hellström, M, Sandström, M, Sinha, M, Kuzak, M, Herterich, P, Islam, S, Sansone, S-A, Pollard, T, Atmojo, UD, Williams, A, Czerniak, A, Niehues, A, Fouilloux, AC, Desinghu, B, Goble, C, Richard, C, Gray, C, Erdmann, C, Nüst, D, Tartarini, D, Ranguelova, E, Anzt, H, Todorov, I, McNally, J, Burnett, J, Garrido-Sánchez, J, Belhajjame, K, Sesink, L, Hwang, L, Tovani-Palone, MR, Wilkinson, MD, Servillat, M, Liffers, M, Fox, M, Miljković, N, Lynch, N, Lavanchy, PM, Gesing, S, Stevens, S, Cuesta, SM, Peroni, S, Soiland-Reyes, S, Bakker, T, Rabemanantsoa, T, Sochat, V, Yehudi, Y & WG, FAIRRS 2022, FAIR Principles for Research Software (FAIR4RS Principles). https://doi.org/10.15497/RDA00065, https://doi.org/10.15497/RDA00068

TY - BOOK

T1 - FAIR Principles for Research Software (FAIR4RS Principles)

AU - Hong, Neil P. Chue

AU - Katz, Daniel S.

AU - Barker, Michelle

AU - Lamprecht, Anna-Lena

AU - Martinez, Carlos

AU - Psomopoulos, Fotis E.

AU - Harrow, Jen

AU - Castro, Leyla Jael

AU - Gruenpeter, Morane

AU - Martinez, Paula Andrea

AU - Honeyman, Tom

AU - Struck, Alexander

AU - Lee, Allen

AU - Loewe, Axel

AU - Werkhoven, Ben van

AU - Garijo, Daniel

AU - Plomp, Esther

AU - Genova, Francoise

AU - Shanahan, Hugh

AU - Hellström, Maggie

AU - Sandström, Malin

AU - Sinha, Manodeep

AU - Kuzak, Mateusz

AU - Herterich, Patricia

AU - Islam, Sharif

AU - Sansone, Susanna-Assunta

AU - Pollard, Tom

AU - Atmojo, Udayanto Dwi

AU - Williams, Alan

AU - Czerniak, Andreas

AU - Niehues, Anna

AU - Fouilloux, Anne Claire

AU - Desinghu, Bala

AU - Goble, Carole

AU - Richard, Céline

AU - Gray, Charles

AU - Erdmann, Chris

AU - Nüst, Daniel

AU - Tartarini, Daniele

AU - Ranguelova, Elena

AU - Anzt, Hartwig

AU - Todorov, Ilian

AU - McNally, James

AU - Burnett, Jessica

AU - Garrido-Sánchez, Julián

AU - Belhajjame, Khalid

AU - Sesink, Laurents

AU - Hwang, Lorraine

AU - Tovani-Palone, Marcos Roberto

AU - Wilkinson, Mark D.

AU - Servillat, Mathieu

AU - Liffers, Matthias

AU - Fox, Merc

AU - Miljković, Nadica

AU - Lynch, Nick

AU - Lavanchy, Paula Martinez

AU - Gesing, Sandra

AU - Stevens, Sarah

AU - Cuesta, Sergio Martinez

AU - Peroni, Silvio

AU - Soiland-Reyes, Stian

AU - Bakker, Tom

AU - Rabemanantsoa, Tovo

AU - Sochat, Vanessa

AU - Yehudi, Yo

AU - WG, FAIR4RS

PY - 2022/3/16

Y1 - 2022/3/16

N2 - To improve the sharing and reuse of research software, the FAIR for Research Software (FAIR4RS) Working Group has applied the FAIR Guiding Principles for scientific data management and stewardship to research software, bringing together existing and new community efforts. Many of the FAIR Guiding Principles can be directly applied to research software by treating software and data as similar digital research objects. However, specific characteristics of software — such as its executability, composite nature, and continuous evolution and versioning — make it necessary to revise and extend the principles.This document presents the first version of the FAIR Principles for Research Software (FAIR4RS Principles), and includes explanatory text to aid adoption. It is an outcome of the FAIR for Research Software Working Group (FAIR4RS WG) based on community consultations that started in 2019.The FAIR for Research Software Working Group is jointly convened as a Research Data Alliance (RDA) Working Group, FORCE11 Working Group, and Research Software Alliance (ReSA) Task Force.

AB - To improve the sharing and reuse of research software, the FAIR for Research Software (FAIR4RS) Working Group has applied the FAIR Guiding Principles for scientific data management and stewardship to research software, bringing together existing and new community efforts. Many of the FAIR Guiding Principles can be directly applied to research software by treating software and data as similar digital research objects. However, specific characteristics of software — such as its executability, composite nature, and continuous evolution and versioning — make it necessary to revise and extend the principles.This document presents the first version of the FAIR Principles for Research Software (FAIR4RS Principles), and includes explanatory text to aid adoption. It is an outcome of the FAIR for Research Software Working Group (FAIR4RS WG) based on community consultations that started in 2019.The FAIR for Research Software Working Group is jointly convened as a Research Data Alliance (RDA) Working Group, FORCE11 Working Group, and Research Software Alliance (ReSA) Task Force.

U2 - 10.15497/RDA00065

DO - 10.15497/RDA00065

M3 - Other report

BT - FAIR Principles for Research Software (FAIR4RS Principles)

ER -

FAIR Principles for Research Software (FAIR4RS Principles)

Abstract

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Research output

How does software fit into the FDO landscape?

Cite this