Data Services

A selection of articles and teaching resources for librarians who are interested in offering data services at their institution.

Radecki & Springer, (2020) Research data services in US higher education: “Any concrete, programmatic offering intended to support researchers (including faculty, postdoctoral researchers, and graduate students) in working with data.”

Seminal Works

Carlson J (2010). The Data Curation Profiles toolkit

Carlson J (2011). Demystifying the data interview: developing a foundation for reference librarians to talk with researchers about their data

Goben A, Sapp Nelson MR (2018). Data engagement opportunities scaffold chart and Goben A, Sapp Nelson MR (2018). associated article: The data engagement opportunities scaffold: development and implementation.  

Applications in the Field

Adamick J, Reznik-Zellen RC, Sheridan M (2013). Data management training for graduate students at a large research university.

Clare, C, Cruz, M, Papadopoulou, E, Savage, J, Teperek, M, Wang Y., Witkowska I, Yeoman J. (2019). Engaging researchers with data management: the cookbook. (open book)

Shorish Y, (2015). Data information literacy and undergraduates: a critical competency.

Curator’s Choice

Jennifer Chaput, STEM and Research Data Librarian at the University of Connecticut Library

Data sharing and management snafu in 3 short acts - I show this humorous video at the start of workshops to clearly demonstrate the RDM concepts discussed.

Barbrow, S, Brush, D, Goldman J. (2017). Research data management and services: resources for novice data librarians. This article highlights online communities, training materials, conferences, online courses, and data management tools that are essential resources. 

Read K, Surkis A. (2018). Research Data Management Teaching Toolkit. This toolkit is the foundation of the Research Data Management workshop I created. The slides are intended for a one-hour introductory session, and can be customized to fit your needs. A sample feedback questionnaire is also included.

The NNLM Data Thesaurus defines research data management as “a concept used to describe the managing, sharing, and archiving of research data to make it more accessible to the broader research community” Check out the Tips on this page to teaching research data management.

Recent & Relevant Scholarship

Google Scholar search for teaching and learning with research data management.

Highlighted NLM Resources

Seminal Works

Coates HL (2013). Building data services from the ground up: strategies and resources

Federer L, Foster ED, Glusker A, Henderson M, Read K, Zhao S. The Medical Library Association data services competency: a framework for data science and open science skills development. J MLA 2020 108(2): 304–309. DOI: https:/ 

Yoon, A, Schultz, T. Research data management services in academic libraries in the US: a content analysis of libraries’ websites. College & Research Libraries 2017 78(7), 920. doi:

Applications in the Field

Read KB, Surkis A, Larson C, McCrillis A, Graff A, Nicholson J, Xu J (2015). Starting the data conversation: Informing data services at an academic health sciences library

Tenopir C, Hughes D, Allard S, Frame M, Birch B, Baird L, Sandusky R, Coates HL, Carlson J, Clement R., Henderson M, Johnston LR, (2015), Research data services in academic libraries: data intensive roles for the future?  

Whitmire AL (2015). Implementing a graduate-level research data management course: approach, outcomes, and lessons learned

Curator’s Choice

Shannon Sheridan, Data Librarian, University of Wyoming

The Carpentries: Training and resources for instructors on foundational coding and data science skills

Nelson MS, Goben A. (2020). Models for engaging liaisons in research data services. Journal of Librarianship & Scholarly Communication, 8, 1–14.  ttps://

Mannheimer, S. Ready, engage! outreach for library data services.

In addition to the data resources curated below by the NNLM, Harvard Medical School defines research data management as “Research Data Management is the process of providing the appropriate labeling, storage, and access for data at all stages of a research project” and provides a great set of RDM resources.

Recent & Relevant Scholarship

Search for “research data management” in the Journal of the Medical Library Association (JMLA) for 2016-2021

Highlighted NLM Resources

Webinar: Needs assessments in research data management: what do we know and where are the gaps?

Webinar: Marketing RDM services 2019

Seminal Works

Read KB, Larson C, Gillespie C, Oh SY, Surkis A. (2019) A two-tiered curriculum to improve data management practices for researchers.

Tenopir C, Sandusky RJ, Allard S, Birch B (2013). Academic librarians and research data services: preparation and attitudes (pg. 70)

Llebot C, Rempel, HG. (2021). Why won’t they just adopt good research data management practices? an exploration of research teams and librarians’ role in facilitating RDM adoption.

Applications in the Field

Coates HL, Carlson J, Clement R, Henderson M, Johnston LR, Shorish Y (2018). How are we measuring up? evaluating research data services in academic libraries

Henderson M, Knott TL. (2016). Starting a research data management program based in a university library

Joo S, Peters C (2020). User needs assessment for research data services in a research university

Curator’s Choice

EDINA and Data Library, University of Edinburgh, (2020). DIY research data MANTRA Training Kit for librarians. This training kit is for librarians “who wish to gain confidence and understanding of research data management” and contains lessons, audio lectures, exercises, and other materials for self-paced learning.

RDMLA | Research Data Management Librarian Academy. Per their site, “The Research Data Management Academy (RDMLA) is a global, free online professional development program for librarians, information professionals, or other professionals who work in a research-intensive environment.” They offer eleven units including video lectures, exercises, assessments and additional resources, and optional CE credits. Users can follow the entire curriculum or just the units that are applicable to their needs.

The DMPTool. This tool can be used to help researchers create a data management plan for their research projects.