Humanities Data Curation Record
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Humanities Data Curation Record

A data curation record supports reuse of data and reproducibility of claims by documenting data source(s), data types and formats, data quality, as well as methods and tools used to subset, transform, augment, and derive insight from data. With this record another researcher should be able to:

(1) understand how data are organized
(2) access the methods and tools used to support analysis
(3) be exposed to data cleaning and transformation processes
(4) identify data source(s)


When, where, and by whom the data were created

What the data topically describes (e.g. Black Death mortality rates)

Describe data features briefly (e.g. no. of records, mixture of text and tabular data)

Licensing (e.g. CC-BY-SA, All Rights Reserved)


Quality of data (OCR vs. hand transcribed text, uncompressed vs. compressed images)

Type, Format, Extent, Size

text. .txt, 100 files, 10MB

Filenaming Conventions




augmentation - e.g geocoded location data

transformation - e.g. converted date formats from mm/dd/yy to yyyy/mm/dd

cleaning - e.g. Rchrd Jmes to Richard James

Methods & Tools

method | approach | algorithm | tool

text analysis, topic modeling, latent dirichlet allocation, MALLET


Where source data came from indicated via citation and persistent identifier if available

Michigan State University Libraries. “Feeding America”. East Lansing, MI: Michigan State University.

Reuse License

What is the copyright and re-use status of the data — e.g. CC-BY 4.0, All Rights Reserved

Humanities Data Curation Record
Thomas Padilla & Brandon Locke
CC-BY 4.0