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University at Buffalo Libraries

Transforming Scholarly Communication & Publishing

Data Management

Better data management can lead to better research... but managing data effectively involves more than just creating some back-ups. 

Why worry about data management?

  • Saves you time in the long run
  • Helps you fulfill grant requirements, especially new federally mandated open data policies.
  • Enhances appropriate data privacy while minimizing the risk of data loss
  • Ensures long-term preservation and availability of your scholarly contributions
  • Allows facile use and re-use of your data by your research team and other authorized parties

Where can I quickly learn the basics about data management?

  • Data Management (MIT) - A general resource for planning and creating a Data Management plan. Includes information regarding citations, security and backup, legal issues, and organization.
  • DMPTool (California Digital Library) - an open source tool designed to create, review, and share data management plans that meet institutional and funder requirements. It uses templates that can be customized.
  • Managing Your Data (University of Minnesota) - Provides information regarding the importance of managing your data, as well as a number presentations, slides, and workshops covering a variety of topics related to data management.
  • Data Management Toolkit (Penn State) - Provides numerous comprehensive resources and tips for sharing, storing, and preserving your data. Includes a guide to metadata and resources to help you properly describe your work.

How can the UB Libraries help you manage your data?

The UB Institutional Repository, maintained by the University Libraries, is the primary vehicle we have available to assist you.  The institutional repository contains a variety of document types and handles all file formats.  It serves as a central, permanent data repository and is supported by University enterprise-level backup.  Please contact Mark Ludwig, Director, Research Systems Development, University Libraries.  

What is a data management plan and why is it important?

  • Data Management Plans (MIT) - A concise definition of elements needed in a data management plan and an excellent list of resources/tools for developing the plan.
  • Importance of Data Management (Boston Univ.) – in a nutshell, it matters.
  • Guidelines for E ffective Data Management Plans (Univ. of Michigan) - Provides a list or required elements to create a complete Data Management plan, as well as a framework for developing each section. Also provides sample plans for view and resources for submitting your data. Information about depositing actual data is specific to Univ. of Michigan personnel.
  • Data Management Plans (Univ. of Hawaii) – a well-organized and extensive site covering best practices, selection of data, data preservation and deposition, and examples of plans.
  • A good data management plan will include creating a permanent URL and assigning a unique Digital Object Identifer (DOI) to appropriate datasets so that they can be readily used and cited by others. Further information about creating citable datasets is available from:
    • DataCite assists scholars in formating data citations, finding suitable repositories, and tracking use.
    • EZID is a simple, guided process for creating DOI's.

Which funders in the U.S. require Data Management Plans?

What resources can help me with Big Data and data intensive scholarship issues?

To discuss your specific interests and needs, contact Mark Ludwig, Scholarly Communications Officer, or A. Ben Wagner, Sciences Librarian.

Last Updated: 6 June 2015