Projects per year
Abstract
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.
Original language | English |
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Article number | 876 |
Number of pages | 13 |
Journal | F1000Research |
Volume | 6 |
DOIs | |
Publication status | Published - 13 Jun 2017 |
Keywords / Materials (for Non-textual outputs)
- Best practices
- Code
- FAIR
- Guidelines
- Open Science
- Open Source
- Quality
- Recommendations
- Software
- Sustainability
Fingerprint
Dive into the research topics of 'Four simple recommendations to encourage best practices in research software [version 1; referees: 3 approved]'. Together they form a unique fingerprint.Projects
- 1 Finished
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The Software Sustainability Institute: Phase 2
Chue Hong, N. (Principal Investigator)
1/06/15 → 31/05/19
Project: Research
Research output
- 3 Article
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Introducing the FAIR Principles for research software
Barker, M., Chue Hong, N. P., Katz, D. S., Lamprecht, A.-L., Martinez Ortiz, C., Psomopoulos, F., Harrow, J., Garcia Castro, L. J., Gruenpeter, M., Martinez, P. A. & Honeyman, T., 14 Oct 2022, In: Scientific Data. 9, 1, 6 p., 622.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Towards FAIR principles for research software
Lamprecht, A.-L., Garcia, L., Kuzak, M., Martinez, C., Arcila, R., Martin, E., Dominguez De Angel, V., van de Sandt, S., Ison, J., Martinez, P. A., McQuilton, P., Valencia, A., Harrow, J., Psomopoulos, F., Gelpi, J. L., Chue Hong, N., Goble, C. & Capella-Gutierrez, S., 12 Jun 2020, In: Data Science. 3, 1, p. 37-59Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Top 10 metrics for life science software good practices [version 1; referees: 2 approved]
Artaza, H., Chue Hong, N., Corpas, M., Corpuz, A., Hooft, R., Jimenez, R. C., Leskošek, B., Olivier, B., Stourac, J., Svobodová Vařeková, R., Van Parys, T. & Vaughan, D., 16 Aug 2016, In: F1000Research. 5(ELIXIR), 2000, 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Profiles
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Neil Chue Hong
- EPCC - Personal Chair in Research Software Policy and Practice
Person: Academic: Research Active (Research Assistant)