The Role of Data Stewardship in Software Sustainability and Reproducibility
暂无分享,去创建一个
Shalini Kurapati | Maria J. Cruz | Yasemin Turkyilmaz-van der Velden | Yasemin Turkyilmaz-van der Velden | Shalini Kurapati
[1] James Howison,et al. Software in the scientific literature: Problems with seeing, finding, and using software mentioned in the biology literature , 2016, J. Assoc. Inf. Sci. Technol..
[2] Lex Nederbragt,et al. Good enough practices in scientific computing , 2016, PLoS Comput. Biol..
[3] Elizabeth Gilbert,et al. Reproducibility Project: Results (Part of symposium called "The Reproducibility Project: Estimating the Reproducibility of Psychological Science") , 2014 .
[4] M. Baker. 1,500 scientists lift the lid on reproducibility , 2016, Nature.
[5] Jan Krause,et al. Quantitative assessment of research data management practice , 2018 .
[6] J. Ioannidis,et al. Reproducibility in Science: Improving the Standard for Basic and Preclinical Research , 2015, Circulation research.
[7] Alastair Dunning,et al. Data Stewardship addressing disciplinary data management needs , 2018, Int. J. Digit. Curation.
[8] Rolf Hut,et al. Comment on “Most computational hydrology is not reproducible, so is it really science?” by Christopher Hutton et al.: Let hydrologists learn the latest computer science by working with Research Software Engineers (RSEs) and not reinvent the waterwheel ourselves , 2017 .
[9] Simon Hettrick. Research Software Sustainability: Report on a Knowledge Exchange Workshop , 2016 .
[10] Victoria Stodden,et al. Best Practices for Computational Science: Software Infrastructure and Environments for Reproducible and Extensible Research , 2014 .
[11] Benedikt V. Ehinger,et al. Faculty Opinions recommendation of PSYCHOLOGY. Estimating the reproducibility of psychological science. , 2015 .
[12] David L. Donoho,et al. WaveLab and Reproducible Research , 1995 .
[13] Arian Maleki,et al. Reproducible Research in Computational Harmonic Analysis , 2009, Computing in Science & Engineering.
[14] Michael Franke,et al. Recommendations on the development, use and provision of Research Software , 2018 .
[15] P. K. Doorn,et al. A Conceptual Approach To Data Stewardship and Software Sustainability : Scientists in charge, with a little help from their friends , 2016 .
[16] Erik Schultes,et al. The FAIR Guiding Principles for scientific data management and stewardship , 2016, Scientific Data.
[17] Daniel S. Katz,et al. slides: Track 1 Paper: Surveying the U.S. National Postdoctoral Association Regarding Software Use and Training in Research , 2017 .
[18] Christopher Hutton,et al. Most computational hydrology is not reproducible, so is it really science? , 2016, Water Resources Research.