Four simple recommendations to encourage best practices in research software

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This publication doesn't include Institute of Computer Science. It includes Central European Institute of Technology. Official publication website can be found on muni.cz.
Authors

JIMÉNEZ Rafael C KUZAK Mateusz ALHAMDOOSH Monther BARKER Michelle BATUT Bérénice BORG Mikael CAPELLA-GUTIERREZ Salvador HONG Neil Chue COOK Martin CORPAS Manuel FLANNERY Madison GARCIA Leyla GELPÍ Josep Ll GLADMAN Simon GOBLE Carole FERREIRO Montserrat González GONZALEZ-BELTRAN Alejandra GRIFFIN Philippa C GRÜNING Björn HAGBERG Jonas HOLUB Petr HOOFT Rob ISON Jon KATZ Daniel S LESKOŠEK Brane GÓMEZ Federico López OLIVEIRA Luis J MELLOR David MOSBERGEN Rowland MULDER Nicola PEREZ-RIVEROL Yasset PERGL Robert PICHLER Horst POPE Bernard SANZ Ferran SCHNEIDER Maria V STODDEN Victoria SUCHECKI Radosław SVOBODOVÁ VAŘEKOVÁ Radka TALVIK Harry-Anton TODOROV Ilian TRELOAR Andrew TYAGI Sonika GOMPEL Maarten van VAUGHAN Daniel VIA Allegra WANG Xiaochuan WATSON-HAIGH Nathan S STEVE Crouch

Year of publication 2017
Type Article in Periodical
Magazine / Source F1000Research
MU Faculty or unit

Central European Institute of Technology

Citation
Web https://f1000research.com/articles/6-876/v1
Doi http://dx.doi.org/10.12688/f1000research.11407.1
Field Informatics
Keywords Open Source; code; software; guidelines; best practices; recommendations; Open Science; quality; sustainability; FAIR
Description Scientific research relies on computer software, yet software is not always developed following practices that ensure its quality and sustainability. This manuscript does not aim to propose new software development best practices, but rather to provide simple recommendations that encourage the adoption of existing best practices. Software development best practices promote better quality software, and better quality software improves the reproducibility and reusability of research. These recommendations are designed around Open Source values, and provide practical suggestions that contribute to making research software and its source code more discoverable, reusable and transparent. This manuscript is aimed at developers, but also at organisations, projects, journals and funders that can increase the quality and sustainability of research software by encouraging the adoption of these recommendations.

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