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Research Data Management

Research Data Management

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Scholarly Communications Librarian


This libguide re-uses content listed on DataONE and MIT Libraries. It is modeled on other libguides at University of Minnesota Libraries and CalTech Libraries.

Research Data Management - an introduction

What is research data management?

Research data management comprises of all the activities surrounding the lifecycle of research data which includes collection, organization, description, access and preservation.

Why is it important?

  • It helps you be organized and find your files in the future.
  • It allows better reproducibility of research and data It helps you be organized about your research by documenting your processes for your own recollection, accountability, and re-use (by yourself or others).
  • It allows for better version control of data.
  • Preserving your data is important, so planning ahead for any eventuality will not hinder your research project or sharing your data.
  • External funding agencies may require you to share your data and publications.

Why is well managed data important?

  • It increases the impact and visibility of research.
  • It promotes innovation and potential re-use of data.
  • It leads to new collaborations between data users and creators.
  • It maximizes transparency and accountability.
  • It enables scrutiny of research findings.
  • It encourages improvement and validation of research methods.
  • It reduces cost of duplicating data collection.
  • It provides important resources for education and training.

Why Libraries and Research Data?

Historically, libraries have served as institutions where information is collected, curated, preserved, described, discovered, and accessed. Putting these traditional library activities into data terms illustrates why academic libraries and librarians should be involved in the management of scholarly information and research data. As libraries we recognize research data as a scholarly asset that should be stored and made available for reuse, just as any publication is. This is particularly important as data has become more widely accessible in its digital form and its use for experimental validation and reuse in extending the boundaries of knowledge has become more practical.

As the majority of research data falls into the “long-tail” that encompasses the many disciplines that do not have dedicated repositories1, the role of academic libraries in making sure that these data are findable, accessible, interoperable & reusable becomes more prominent. There are a few reasons why this is a really excellent thing:

  • Libraries & universities are long-lived institutions that do not traditionally rely on short term funding cycles, unlike many disciplinary repositories.
  • Libraries have demonstrated a sustainable model for collection of, preservation of, and access to information.
  • Libraries are filled with people who are trained in and participate in already developed and well-characterized practices and principles of information management, from description to organization to access to rights management, and on, and on.
  • Libraries are often already established partners in research, having provided guidance & resources at other stages of the research lifecycle.
  • Libraries provide instruction in and distribute information about other areas of information management. By adding data to this instructional portfolio, libraries can train the next generation of researchers in data standards & standard practices.

These are just a few of the many reasons why academic libraries should be engaged in the challenges of research data stewardship, curation, and management.

Credit: ACRL Scholarly Communication Toolkit Accessed 2014-09-13