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Self-archiving in UNC Dataverse is free to all users. If you would like additional support in archiving your research data, the Odum Institute Data Archive offers UNC Dataverse Support Services for all aspects of the archiving processResearch Data Management Core is available for consultation. Submit a Help Ticket to request a free consultation.
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The file formats used by researchers are often informed by individual research practices and domain-specific standards. However, to avoid risks to long-term data preservation, access, and use that can arise from software obsolescence, the Odum Institute Research Data Archive Management Core recommends that data files be submitted in formats that are widely adopted, non-proprietary, free of external software dependencies, and well-documented.
The following file formats are supported with optimized preservation:
IBM SPSS | .por OR .sav | Versions 7 to 22 |
Stata | .dta | Versions 4 to 15 |
R | .RData | Versions 1 to 3 |
Excel | .xlsx | .xls is not supported |
Comma-separated values | .csv | Limited support |
When using the above file formats, UNC Dataverse will generate a software agnostic, tab-delimited (TSV) version of your data files for optimal preservation. Dataverse also creates an Rdata version of your data to permit users the option to download the file in an open source format.
The following file formats for document files such as README files, codebooks/data dictionaries, instruments, and methodology reports are recommended:
Text | .txt |
Adobe Portable Document Format | .pdf/ua OR .pdf/a OR .pdf |
Are there file size limits?
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Files are stored in perpetuity. The Odum Institute Data Archive and UNC Dataverse are members is a member of Data-PASS, a community dedicated to the preservation of research data. As such, we have implemented a Digital Preservation Policy which defines our succession plan for continued access to our holdings.
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UNC Dataverse is an open data repository for sharing and preserving research data. All published data are given a persistent unique identifier (DOI), which directs users to the permanent published dataset record. In most instances, we would not recommend removing data from UNC Dataverse; however, if data are discovered to be too sensitive or in violation of copyright or terms of use, Odum Institute Data Archivists RDMC staff will remove the data from UNC Dataverse.
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