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Data Management: Sharing Data

Why Share Data?

Many benefits exist to sharing research data.

Funding Agency Requirements

As a result of the 2013 Office of Science and Technology Policy memo, Increasing Access to the Results of Federally Funded Scientific Research, many funding agencies encourage or require researchers to share the data resulting from the funded project.

Increased Visibility for the Researcher

Piwoware, HA, Day RS, Fridsma DB (2007). Sharing Detailed Research Data is Associated with Increased Citation Rate. PLosOne 2(3): e308. doi:10.1371/journal.pone.0000308

The Advancement of Science and Knowledge

Sharing data encourages scientific inquiry, enables reproducibility of results, reduces redundancy of data production, and encourages transparency, among other benefits.

Data Repositories

The University of South Carolina does not currently have a system-wide, long-term archiving option for research data. However, many external disciplinary and general data repositories exist. If you want or need to share your research data, one of these might be a good fit.

These repositories are also good places to find datasets for re-use.

Re3Data, the Registry of Research Data Repositories, is a directory to data repositories across many disciplines. The tool provides links to repositories and includes information about deposit requirements.

ICPSR, the Inter-university Consortium for Political and Social Science Research, is a data repository providing access to deposited data to member institutions, including USC. The openICPSR repository provides access to deposited data to everyone. Find information about plans and pricing here.

Information about data repositories from the National Network of Libraries of Medicine can be found here.

If a disciplinary repository does not exist for your data, consider a repository for general data. The following repositories accept data from all disciplines:

DataOne Dash
Dataverse
Figshare

Zenodo

Citing Data

If you are using another researcher's dataset, it's important to cite it to give that producer credit. Citing data also simplifies access to data for re-use.

Elements of Data Citations:

Data Creator
Title of Dataset
Year of Publication
Publisher (usually the data repository where the dataset is housed)
Edition or Version
Access Information (URL or other persistent identifier)

A recommended format is:
Creator (PublicationYear). Title. Publisher. Identifier

or, if version and type of resource are available:
Creator (PublicationYear). Title. Version. Publisher. ResourceType. Identifier

DOI Citation Formatter

If you have a dataset's DOI, you can use the CrossCite Citation Generator to create a data citation for you.
http://citation.crosscite.org/