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Research Data Management

Archiving & publishing data

Other than publishing articles presenting your research, an important aspect of research data management (RDM) involves making available the data, code, and materials used to conduct that research.  Research data repositories are subtypes of a sustainable information infrastructure which provides long-term storage and access to research data that is the basis for a scholarly publication [Registry of Research Data Repositories  ].  In other words, a centralized place to store data, making them available for use, ensuring accessibility beyond the life spam of a research project.

Choose a repository aiming at ensuring that your data are FAIR (findable, accessible, interoperable, reusable), citable and comply with funder requirements.  It is advisable to prefer a public data repository that includes persistent identifiers to make data easily findable and various licensing options to ensure clarity.

Other factors you may need to consider while choosing a repository is the type of data you are planning to publish, as there are discipline specific repositories for higher visibility rate.  Depending on funders' requirements, you should also verify that you indeed have the right to publish your data in a repository and if yes, under which conditions and requirements.  Last, make sure it is a sustainable repository and your data will remain accessible in the long run.

To ensure your submission will be successful, you need to prepare your data according to the repository's mandates.  These may include using metadata of a specific scheme following required ontologies and controlled vocabularies, converting the data into a needed format, assigning an appropriate license.


Research data journals

High standards of rigour in the scientific materials accepted for publication is a mandate from many publishers.  Additionally to scientific articles, research data of various types (i.e. code) enhance the research transparency and provide better reproducibility.  In this context, data journals are gradually gaining popularity in the academic publishing landscape.  Their focus is on research data as datasets rather than the usual research articles and they provide details essential to researchers, such as the context of the data collection, the choice of software environment and data processing decisions (i.e. file formats).


  • The University of Pittsburgh has created a list with brief descriptions and links to sources that can be useful in locating data for research in a range of disciplines
  • The Western Michigan University Library has created a Libguide to support the Data Science major, where you can find many data journals  . 
  • PLOS journals   require authors to make all data necessary to replicate their study’s findings publicly available without restriction at the time of publication.

Research funders' requirements and Open Access (OA) mandates

In the recent years, data sharing and publishing plans have become a requirement for many research funders. Researchers are strongly encouraged not only to provide a thorough research data plan (RDP), but also to make their research data accessible soon after they complete their research project.


"The greatest benefit of open access is that it enables the results of scholarly research to be disseminated more rapidly and widely." [OA benefits ].   To learn more about Open Access and how it can benefit and expand your visibility as a researcher, visit the related Open Access Libguide