data curation issues

Data curation issues
Michelle Hudson
SCOPA Forum
9.21.11

What is data?

What is data?
Definition varies by discipline and can include experimental, observational, and computational data.

What is data?
In general “research data” refers to raw or processed products of a research project.

What is data?
In general “research data” refers to raw or processed products of a research project.
These products can be video, images, or numeric files in the form of geographic information, spreadsheets, and other formats.

What is data curation?

“Data curation is the active and ongoing management of research data through its lifecycle of interest and usefulness to scholarship, science, and education.” – Carole Palmer, UIUC GSLIS

“Data curation is the active and ongoing management of research data through its lifecycle of interest and usefulness to scholarship, science, and education.” – Carole Palmer, UIUC GSLIS
“Curation” includes selection, appraisal, maintenance, preservation.

Why is data curation important for us?

According to Paul F. Uhlir, Director of the Board on Research Data and Information, researchers are “contributing to a networked information enterprise where data are a fundamental infrastructural component of the modern research system.”

According to Paul F. Uhlir, Director of the Board on Research Data and Information, researchers are “contributing to a networked information enterprise where data are a fundamental infrastructural component of the modern research system.”
Increasingly, data itself is a product and record of scholarship.

Some Problems that make curation difficult.

No standards.

No standards.
Lack of interoperability.

No standards.
Controlled vocabularies are missing.

No standards.
Storage space is limited.

No standards.
Domain of stewardship/responsibility is unclear.

No standards.
Domain of stewardship/responsibility is unclear.
Individual repositories make silos of content.

Ideas for solutions!

Experiment tracking software and electronic notebooks.

Automatic metadata.

Automatic metadata.
Integrating curation early into the researcher workflow.

Automatic metadata.
Educating graduate students on proper data management.

Automatic metadata.
Educating graduate students on proper data management.
DataONE and the Data Conservancy.

Other stuff!
Data citation
Data sharing
Reward models
Identity control (ORCID, EZID)
Semantic web and linked data
Cyberinfrastructure

Questions?
michelle.hudson@yale.edu
203.432.4587
@michellehudson
in person for coffee @ kbt cafe

data curation issues

by Michelle Hudson on Sep 21, 2011

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