NIMH IRP Data Science and Sharing Team
Published June 23, 2023 | Version v1
Poster Open

Data curation of the NIMH Healthy Volunteer dataset

Authors/Creators

  • 1. National Institute of Mental Health
  • 2. NIMH Division of Intramural Research Programs

Description

Poster Takeaways

Data cleaning is a non-trivial step in curating FAIR datasets.

Systematically searching for data errors is better than incidentally discovering them. (1)

Documenting data decisions with reasoning is key to isolating the source of errors. (1)

Watch this 3 min short video of the poster presentation to learn more: https://youtu.be/1_sAPXpS3OI

Results

Dataset on OpenNeuro: https://openneuro.org/datasets/ds004215

GitHub Study Repository

Curation Scripts: https://github.com/nih-megcore/hv_protocol

Files

data_curation_good_practices_OHBM23.pdf

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Additional details

References
10.1371/journal.pmed.0020267 (DOI)
10.18637/jss.v059.i10 (DOI)
10.1038/s41597-022-01623-9 (DOI)
10.1038/sdata.2016.44 (DOI)
10.5281/zenodo.4568180 (DOI)
10.21105/joss.01896 (DOI)
10.17605/OSF.IO/35SXV (DOI)
10.1016/j.chb.2011.04.004 (DOI)
https://afni.nimh.nih.gov/pub/dist/HBM2020/AFNI_reface_OHBM2020.pdf (URL)

Dates

Accepted
2023-07-22/2023-07-26