All posts by robyn

RIOT: Research Data Management (aka Data Management, Data Curation, and Data Stewardship)

One of my goals is to provide a workshop on data management for engineering graduate students.  Instead of presenting on a particular article, I’d like to highlight some of the initiatives done at other universities.  Many of these schools have dedicated library staff working, to some degree, on data management instruction and/or outreach.  Many of my engineering colleagues are working on this issue, but this is not solely an engineering topic, librarians from the natural sciences and social sciences are often part of an interdisciplinary team.  I’m curious if others are working in this area with your students/faculty?

Why would students want our help with managing their data?

  • Prevent data loss (preservation)
  • Continuity among rotating graduate students
  • Providing unusable data is not nice.  In other words, if a dataset is made available in an acceptable format other researchers, educators, and the general public can benefit from your work.  [Of course, personal/private information, patent and proprietary issues are taken into account.]
  • Funding requirement*

*Data Management Plan: This is a requirement of funding agencies including the NSF, NEH, NIH, IMLS and the Institute of Education Sciences.  Straight forward(ish) – a data management plan demonstrates to the funding agency how you will make your datasets freely available to the public.  Colleen has a helpful page and the DMPTool is a service that provides step by step instructions for researchers.  Not a place to re-invent the wheel.

Big data: So I’m not talking about managing “big data”. This is the type of work being conducted by the likes of CERN, the federal government, and Target.

Why should we be interested in providing Research Data Management services?

  • There is a definite need among graduate students and post docs.
  • This is an important trend within our profession.
  • This with be a topic for a future UT Strategic Initiative.

Sample of ARL institutions:

MIT – Data Management and Publishing: MIT has a great website, one that I will use as a model in creating my own research data management web page.  While they don’t have a dedicated position for data management services, they do have a team of 5 librarians from various departments including engineering, economics, and biosciences.

Purdue – Research and Data Services: Data Curation Profiles

University of Minnesota – Managing your data: Another great website, I will borrow from these guys as well.  They also have videos of previous workshops.

University of Virginia Library – Data Management Consulting Group: U.Va. has 4 data consultants! In addition to having a great website they have a Library Research Data Services Newsletter, provide Data Services office hours, and conduct a series of data management workshops.

Potential Modules:

  1. Overview (i.e. why managing your data is important)
  2. File organization best practices/standards
  3. Metadata
  4. Data storage and security protocols
  5. Data sharing options (i.e. Institutional repositories vs subject based repositories)
  6. Copyright and Ethics
  7. Funding requirements/Data Management Plan (DMP)

Resources/Toolkits for Librarians: