The Odum Institute provides services for researchers in managing, archiving and preserving social science data. The archive staff provide comprehensive data management consultation and support through all phases of the research lifecycle. The Odum Institute Data Archive encourages researchers to deposit their data on any social science or health topic.
The Odum Institute houses one of the oldest and largest catalogs of machine-readable data in the United States. The Data Archive has an extensive collection of U.S. Census data, including one of the most comprehensive holdings for 1970 Census files. It also contains data from the North Carolina State Data Center, National Center for Health Statistics and Harris Polls. Almost all of the data holdings are available online in the Odum Dataverse.
The Odum Institute encourages researchers to deposit their data with the Institute. Data archived with the Odum Institute will be made available on the Odum Institute Dataverse Network. Benefits to depositors include the long-term preservation of data, replication of data across a distributed digital preservation network, inclusion of deposited data within the Odum Institute Dataverse Network catalog, and the creation of a stable data citation that supports proper acknowledgement for data producers.
Managing and archiving research data is a growing interest and concern for researchers as funding agencies and other stakeholders are increasingly requiring researchers to manage and share their data. Today, planning for research data management is not only good practice but increasingly a necessity. The Odum Institute can guide researchers to solutions for their data management needs. We can assist you by giving you information on key considerations for managing research data, providing information on the details of funding requirements, and identifying UNC and other resources to assist you in preparing data management plans.
The Odum Archive is involved in several research projects, including SafeArchive, Virtual Archiving, WILIS 3, and DataNet.