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Scholarly Communication : Data Management

Research Data Management

Research Data Management is the continuous process of documenting, organizing, analyzing, storing, and sharing of data created during the research life cycle.  Many funders now require that researchers publicly share their data on an open access repository. Storing data on a repository also gives researchers to the ability to link their data to publications or presentations, which increases transparency and reproducibility. Storing datasets on a repository provides long term preservation of research data.

Many repositories allow users to use a Creative Commons license to more easily share their data (see Creative Commons and Author Rights section). The repositories listed below allow researchers to use a Creative Commons license and track number of downloads. These repositories also offer a suggested citation and DOI (unique digital object identifier) so that data can be found and referenced. Some repositories have additional features which are described below.

Data Repositories

Data Management Practices

Good data management helps verify and advance your work. Creating a solid data management plan will help you keep track of data, make your data citable, and help other researchers in your field. Good 

  • ensures integrity of data
  • ensures that data is findable and usable when grad students leave projects over the years
  • makes the data of a project readily understandable to people outside the project
  • enables the sharing of data within and across disciplines
  • makes it easier to archive and preserve data in the long term
  • encourages data citation to increase the impact of the research


*Adapted from Data Management Guide at UTA Libraries 

Best Practices