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From FAIR research data toward FAIR and open research software

From FAIR research data toward FAIR and open research software
From FAIR research data toward FAIR and open research software
The Open Science agenda holds that science advances faster when we can build on existing results. Therefore, research data must be FAIR (Findable, Accessible, Interoperable, and Reusable) in order to advance the findability, reproducibility and reuse of research results. Besides the research data, all the processing steps on these data – as basis of scientific publications – have to be available, too.

For good scientific practice, the resulting research software should be both open and adhere to the FAIR principles to allow full repeatability, reproducibility, and reuse. As compared to research data, research software should be both archived for reproducibility and actively maintained for reusability.

The FAIR data principles do not require openness, but research software should be open source software. Established open source software licenses provide sufficient licensing options, such that it should be the rare exception to keep research software closed.

We review and analyze the current state in this area in order to give recommendations for making research software FAIR and open.
FAIR principles, research software, open source software
2196-7032
39-47
Hasselbring, Wilhelm
3202ef3e-b567-4564-9869-537f02428454
Carr, Leslie
0572b10e-039d-46c6-bf05-57cce71d3936
Hettrick, Simon
9eef9cf0-86e8-4562-bead-684915a1de5c
Packer, Heather
0e86c31f-6460-4bbd-b6ac-c717ee2cbd96
Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8
Hasselbring, Wilhelm
3202ef3e-b567-4564-9869-537f02428454
Carr, Leslie
0572b10e-039d-46c6-bf05-57cce71d3936
Hettrick, Simon
9eef9cf0-86e8-4562-bead-684915a1de5c
Packer, Heather
0e86c31f-6460-4bbd-b6ac-c717ee2cbd96
Tiropanis, Thanassis
d06654bd-5513-407b-9acd-6f9b9c5009d8

Hasselbring, Wilhelm, Carr, Leslie, Hettrick, Simon, Packer, Heather and Tiropanis, Thanassis (2020) From FAIR research data toward FAIR and open research software. it - Information Technology, 62 (1), 39-47. (doi:10.1515/itit-2019-0040).

Record type: Article

Abstract

The Open Science agenda holds that science advances faster when we can build on existing results. Therefore, research data must be FAIR (Findable, Accessible, Interoperable, and Reusable) in order to advance the findability, reproducibility and reuse of research results. Besides the research data, all the processing steps on these data – as basis of scientific publications – have to be available, too.

For good scientific practice, the resulting research software should be both open and adhere to the FAIR principles to allow full repeatability, reproducibility, and reuse. As compared to research data, research software should be both archived for reproducibility and actively maintained for reusability.

The FAIR data principles do not require openness, but research software should be open source software. Established open source software licenses provide sufficient licensing options, such that it should be the rare exception to keep research software closed.

We review and analyze the current state in this area in order to give recommendations for making research software FAIR and open.

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More information

Accepted/In Press date: 25 January 2020
Published date: 11 February 2020
Keywords: FAIR principles, research software, open source software

Identifiers

Local EPrints ID: 438127
URI: http://eprints.soton.ac.uk/id/eprint/438127
ISSN: 2196-7032
PURE UUID: 092aca50-1d40-41b1-94b0-68b15bb2c5e4
ORCID for Leslie Carr: ORCID iD orcid.org/0000-0002-2113-9680
ORCID for Thanassis Tiropanis: ORCID iD orcid.org/0000-0002-6195-2852

Catalogue record

Date deposited: 02 Mar 2020 17:31
Last modified: 07 Oct 2020 02:01

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Contributors

Author: Wilhelm Hasselbring
Author: Leslie Carr ORCID iD
Author: Simon Hettrick
Author: Heather Packer
Author: Thanassis Tiropanis ORCID iD

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