Skip to Main Content
Skip to main content

Research Data Services

This guide describes the services offered by the Ruth Lilly Medical Library for the management, sharing, and preservation of research data at the IU School of Medicine.

IUPUI Data Catalog (under development)

The University Library Center for Digital Scholarship and the Ruth Lilly Medical Library are partnering to pilot a data catalog for research data generated by IUPUI researchers. The purpose of the Data Catalog is to enable researchers to share protected data in a controlled way. Certain data is subject to legal, regulatory, or contractual protections that may require additional procedures to allow for sharing.

The IUPUI Data Catalog will promote discoverability of research data generated on campus, facilitate access to and potential reuse of protected datasets, and support researcher compliance with funder and publisher policies on data sharing. This project will streamline data sharing for researchers on campus to encourage this practice across disciplines/research groups, internal and external to IUPUI.

To participate in the development of the Data Catalog or for more information on this project, please contact

Citing data

Data citations allow for identification of data used to support a finding and, ideally, the citation itself points to a permanent location where the data is housed. It is important to cite data, similar to journal articles and other publications, to give proper attribution to the owners/authors/producers of datasets.

Data citations typically have six core components:

  • Author
  • Title
  • Date of publication
  • Publisher
  • Edition or version
  • Access information (e.g., URL, DOI, other persistent identifier)

See the Citing Sources guide for general citation guidance. Contact a medical librarian if you have questions.

Open workflow

Reuse of data is made easier by overall transparency in the research process. Transparency, in regards to data in this context, refers to the availability of the methods involved in creating, collecting, and analyzing data as well as the accessibility of the findings resulting from the data in question.

This is a sample research workflow with examples of "open" (i.e., free, open source) tools that can be used to facilitate transparency throughout the various stages of a research project. This image was created and made available by Jeroen Bosman and Bianca Kramer as part of the 101 Innovations in Scholarly Communication under a Creative Commons CC-BY license.

Open Science Workflow Example