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Data from: "A guide to using GitHub for developing and versioning data standards and reporting formats"

Dataset ·
DOI:https://doi.org/10.15485/1780565· OSTI ID:1780565
 [1];  [2];  [3];  [4];  [5];  [6];  [6];  [7];  [3];  [6];  [8];  [2];  [9];  [2];  [2];  [2];  [2];  [7];  [6];  [2] more »;  [10];  [6];  [2] « less
  1. Lawrence Berkeley National Laboratory; Lawrence Berkeley National Laboratory
  2. Lawrence Berkeley National Laboratory
  3. Pacific Northwest National Laboratory (PNNL)
  4. SLAC National Accelerator Laboratory
  5. Lawrence Berkeley National Lab - NERSC
  6. Oak Ridge National Laboratory
  7. Brookhaven National Lab
  8. Lawrence Livermore National Laboratory
  9. PNNL
  10. Argonne National Laboratory
+ Show Author Affiliations
These data are the results of a systematic review that investigated how data standards and reporting formats are documented on the version control platform GitHub. Our systematic review identified 32 data standards in earth science, environmental science, and ecology that use GitHub for version control of data standard documents. In our analysis, we characterized the documents and content within each of the 32 GitHub repositories to identify common practices for groups that version control their documents on GitHub.In this data package, there are 8 CSV files that contain data that we characterized from each repository, according to the location within the repository. For example, in 'readme_pages.csv' we characterize the content that appears across the 32 GitHub repositories included in our systematic review. Each of the 8 CSV files has an associated data dictionary file (names appended with '_dd.csv' and here we describe each content category within CSV files.There is one file-level metadata file (flmd.csv) that provides a description of each file within the data package.
Research Organization:
Environmental System Science Data Infrastructure for a Virtual Ecosystem; Environmental Systems Science Data Infrastructure for a Virtual Ecosystem
Sponsoring Organization:
U.S. DOE > Office of Science > Biological and Environmental Research (BER)
OSTI ID:
1780565
Report Number(s):
ESD PRE-PUB DOI:10.15485/1780565
Country of Publication:
United States
Language:
English

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Templates for developing and versioning data standards and reporting formats using GitHub
Dataset · Thu Dec 31 23:00:00 EST 2020 · OSTI ID:1780564

Related Subjects

54 ENVIRONMENTAL SCIENCES
FAIR data
TRUST principles
data reporting formats
data repositories
data standards
metadata
open science