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Top considerations for creating bioinformatics software documentation. Briefings in Bioinformatics, (19)4:693-699, Januar 2017. [PUMA: diss forschungsdaten recommendation software] URL
Four simple recommendations to encourage best practices in research software. F1000Research, (6):876, F1000 Research Ltd, Juni 2017. [PUMA: documentation forschungsdaten software] URL
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Ten simple rules for making research software more robust. PLOS Computational Biology, (13)4:1-10, Public Library of Science, April 2017. [PUMA: diss documentation forschungsdaten recommendation software] URL
Lesson Development for Open Source Software Best Practices Adoption. 2018 IEEE 14th International Conference on e-Science (e-Science), 19-20, Oktober 2018. [PUMA: diss forschungsdaten opensource software] URL
The Role of Data Stewardship in Software Sustainability and Reproducibility. 2018 IEEE 14th International Conference on e-Science (e-Science), 1-8, Oktober 2018. [PUMA: forschungsdaten software steward] URL
Top considerations for creating bioinformatics software documentation. BRIEFINGS IN BIOINFORMATICS, (19)4:693-699, OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND, Juli 2018. [PUMA: documentation forschungsdaten software]
Towards computational reproducibility: researcher perspectives on the use and sharing of software. PeerJ Computer Science, (4):e163, PeerJ, September 2018. [PUMA: forschungsdaten software survey] URL
Attributing and Referencing (Research) Software: Best Practices and Outlook From Inria. Computing in Science Engineering, (22)1:39-52, Januar 2020. [PUMA: diss forschungsdaten software susi zitieren] URL
How successfully is open-source research software adopted? Results and implications of surveying the users of a sensitivity analysis toolbox. Environmental Modelling & Software, (124):104579, Elsevier BV, Februar 2020. [PUMA: SAFE forschungsdaten software survey] URL
Approaching Software Engineering for Marine Sciences: A Single Development Process for Multiple End-User Applications. Journal of Marine Science and Engineering, (8)5:350, MDPI AG, Mai 2020. [PUMA: diss forschungsdaten rules software] URL