NYU Open Research : Scholarly materials produced by members of the NYU community.
Published July 2026 | Version v1
Dataset Open

Supplementary files for FAIRspreadsheets: A Simple Application to Facilitate the Curation of Spreadsheet-based Research Data

Creators

  • 1. ROR icon New York University
  • 2. ROR icon University of Colorado Boulder
  • 3. ROR icon University of Minnesota
  • 4. ROR icon Pennsylvania State University

Description

This deposit contains the lists of best practices and spreadsheet characteristics used to develop FAIRspreadsheets, as well as a Standard Operating Procedure used to conduct manual coding of sample spreadsheets used for testing and validating the software. FAIRspreadsheets is a Python package designed to assist with the curation of spreadsheet-based research data. The software implements a series of tests that assess whether a given spreadsheet departs from best practices for spreadsheet data, and generates a human and machine readable report identifying the nature and location of these spreadsheet data “red flags”.

Files

README_FAIRSpreadsheets_Supplementary.pdf

Files (944.1 kB)

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FAIRSpreadsheetsManualCoding_SOP_pdfa.pdf md5:212dc7599a22f5308c1049df29ddf442
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README_FAIRSpreadsheets_Supplementary.pdf md5:071929149a64be690c26d0e1758b1d84
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spreadsheetBestPractices_2026-07.csv md5:f33070b3ea518d4793c7bf37b3262c9b
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spreadsheetBestPracticesSpecificAreas_2026-07.csv md5:1390bf08752613f96c98e0460a3eaf67
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spreadsheetCharacteristics_2026-07.csv md5:cf5a2b9dfebd3d05fb9b6af653f30239
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Additional details

Related works

Is referenced by
Software: https://github.com/CU-Boulder-CRDDS/FAIRspreadsheets (URL)
Software: https://pypi.org/project/FAIRspreadsheets/ (URL)
Software: 10.5281/zenodo.21711466 (DOI)
Is version of
Dataset: https://airtable.com/appBPzbS2yggDRff4/shryjBlE7egCmH4Jz (URL)
Dataset: https://airtable.com/appBPzbS2yggDRff4/shrHl4NZ5nzQNIyR8 (URL)