This repository contains scripts and data associated with a systematic review investigating how organizations manage and collaborate on data and metadata standards using the version control platform GitHub. The manuscript also makes several recommendations for organizing content within GitHub repositories to support collaboration and reuse of community-driven data standards.
The quickest way to explore the scripts and data supporting the manuscript and included in this repository is to run the Binder application by clicking the binder button at the top of this README file. This launches a virtual Jupyter notebook session (it may take a few minutes to load) where you can replicate analyses and reproduce plots that appear in the manuscript.
The home directory contains all jupyter notebooks and the data folder has CSV files will all datasets analyzed within the notebook.
If you would like to contribute to this repository we encourage you to submit a GitHub issue.
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Funding for this research came from several sources. RCO, CV, SC, VH, JD, MB, ZK, ER, MS, KW, and DA were funded through the ESS-DIVE repository by the U.S. DOE’s Office of Science Biological and Environmental Research under contract number DE-AC02-05CH11231. Kim Ely and Alistair Rodgers were supported through the US Department of Energy contract number DE-SC0012704 to Brookhaven National Laboratory. Reporting format development was supported by ESS-DIVE’s Community Funds, through the Office of Biological and Environmental Research in the Department of Energy, Office of Science.
To cite the manuscript
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To cite the data and scripts found within this repository
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To cite the README and GitHub Issue Templates
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