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Data Management   Tags: data, data_management, data_services  

a guide to best practices for curating your research data
Last Updated: May 26, 2015 URL: Print Guide RSS UpdatesEmail Alerts

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Data Management Workshops

Presentation slides from Data Management Workshop series.  Spring 2015 sessions will be held on February 26, March 5, and March 12 at the Library of Science and Medicine.  For detailed schedule and registration information, click here.



This guides discusses several stages of data management:

And there are 

  • More Links to further resources on data management


This guide is heavily modeled on the excellent data management guides at

MIT Libraries and the

University of Minnesota Libraries


Why Data Management?

If you are generating and/or using data in your research, a well-thought out approach to data management will save you time and frustration, maximize the impact of your work, and is an important component of the responsible conduct of scholarship.  A data management plan can help you: 

The Data Management Presentation (Powerpoint) summarizes the important factors in data management.

Spring 2015 workshop series on Data Management topics on February 26, March 5, March 12.  Click here for details.


    What is Data?

    Research data can be any systematic collection of information that is used by the researcher for their analysis.  Typical examples of data include sensor readings, experimental result recordings, survey results, or simulation output.  Numeric data in various formats abounds, but research data can also include video, sound, or text data, if it is used for systematic analysis.  For example, while a feature film would usually not be considered research data, a corpus of video interviews that had been tagged to identify gesture and facial expression would be considered research data.

    Research data must be appropriately structured and documented in order for it to be used effectively for analysis.  Any unique programs or models needed to analyse the data stream should be preserved as well.


    Data at Rutgers

    Data management plan consulting is available through the RUresearch Data Team. Support for data management is also available through ORSP's

    In addition, there are many Centers at Rutgers with major data collections, such as:

    Data Librarian

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    Ryan Womack
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    Alexander Library
    169 College Avenue
    New Brunswick, NJ 08901 USA
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    Data, Economics

    Data Services Librarian

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    Minglu Wang
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    John Cotton Dana Library
    185 University Avenue
    Newark, New Jersey 07102-1814

    Telephone: (973)353-3810
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