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Updated: Mar 21, 2026

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
Recommendations for open data science
Melissa Gymrek1, Yossi Farjoun2
1Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA USA ; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA USA.
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.
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