Recommendations for open data science

Gigascience. 2016 May 18;5:22. doi: 10.1186/s13742-016-0127-4. eCollection 2016.

Abstract

Life science research increasingly relies on large-scale computational analyses. However, the code and data used for these analyses are often lacking in publications. To maximize scientific impact, reproducibility, and reuse, it is crucial that these resources are made publicly available and are fully transparent. We provide recommendations for improving the openness of data-driven studies in life sciences.

Keywords: Best practices; Open science; Reproducible research.

MeSH terms

  • Biological Science Disciplines*
  • Computational Biology / methods
  • Guidelines as Topic
  • Humans
  • Information Dissemination*
  • Open Access Publishing
  • Reproducibility of Results