Recommended Introductory Primers
- Research Data Management: A Primer (2015) – NISO Primer Series in which Carly Strasser provides an introductory guidance to users of research data.
- Research Data Management: Roles for Libraries (2015) – Neil Rambo describes the development of research data management services at NYUHSL and focuses on the environment that helped shape their RDM services.
- Primer on Data Management: What you always wanted to know* *but were afraid to ask – DataONE's primer describes a few fundamental data management practices throughout the data life cycle.
- Cyberinfrastructure, Data, and Libraries, Part 1: A Cyberinfrastructure Primer for Librarians (2007) – Part one of a primer for librarians on the major issues and terminologies of e-Science.
- Cyberinfrastructure, Data, and Libraries, Part 2: Libraries and the Data Challenge: Roles and Actions for Libraries (2007) – Part two: the role of libraries in data management and how librarians can participate in the downstream and upstream phases of the research cycle.
- The Emerging Role of Libraries in Data Curation and E-Science (2011) – Pivotal paper stresses the vulnerability of digital data and the critical role that libraries can assume in managing this intellectual output.
- Big Data: A Revolution That Will Transform How We Live, Work, and Think (2013) – A great overview of “big data” and it’s impact on the way we do science.
- Data Management for Libraries: A LITA Guide (2013) – A introduction to data management by Laura Krier and Carly A. Strasser.
- Naked Statistics: Stripping the Dread from the Data (2014) – An entertaining introduction to the statistics of everyday life.
- Data Management for Researchers: Organize, Maintain and Share Your Data for Research Success (2015) – A detailed guide to RDM for researchers.
- The Accidental Data Scientist: Big Data Applications and Opportunities for Librarians and Information Professionals (2015) – Data science from a librarian's perspective.
- Big Data, Little Data, No Data: Scholarship in the Networked World (MIT Press) (2015) – An interesting exploration of data’s impact on the future of scholarship.
- Databrarianship: The Academic Data Librarian in Theory and Practice (2016) – A scholarly collection of articles on data librarianship specifically for the academic librarian.
- The Medical Library Association Guide to Data Management for Librarians (Medical Library Association Books Series) (2016) – An indispensable resource for the medical librarian interested in data management by NIH Library's Lisa Federer.
- The Data Librarian’s Handbook (2016) – A manual for the library student, teacher or working professional on data librarianship.
- Data Management: A Practical Guide for Librarians (2017) – From the Practical Guide for Librarians series, a comprehensive guide to data management.
- Research Data Management in the Age of Big Data: Roles and Opportunities for Librarians (2016) – Discusses the wide range of opportunities for librarians and other information professionals to engage with researchers and research teams and facilitate the management, analysis, and preservation of research data.
- Academic Libraries as Data Quality Hubs (2013) – Proposes a service model for libraries, where librarians would use the Digital Curation Lifecycle model to demonstrate how certain measures can be used "to understand and evaluate data quality within the curatorial process."
- Academic Libraries and Research Data Services: Current Practices and Plans for the Future (2012) – Study surveyed a cross section of academic library members of the Association of College and Research Libraries (ACRL) in the United States and Canada to provide a baseline assessment of the current state of and future plans for research data services in academic libraries in these countries.
- Ten Recommendations for Libraries to get Started with Research Data Management (2012) – Report from LIBER’s e-Science working group. (LIBER is the Association of European Research Libraries).
- e-Science and Data Management Resources on the Web (2011) – Addresses skills librarians have for working with data, and examples of projects and tools that demonstrate successful collaborations between researchers and librarians.
- The Changing Roles of Libraries in Support of Research Data Activities (2010) (symposium presentations) – Video presentations from a public symposium sponsored by the National Research Council’s Board on Research Data and Information. Features nationally recognized library leaders discussing institutional roles for libraries in research support and data curation.
Research Support Services
- Academic librarians and research data services: preparation and attitudes (2013) – Librarians surveyed on their preparedness to deal with research data management duties (including background, skills, and education), their attitudes toward its importance, and factors that limit or enhance their ability to provide data management support.
- Open Access & Data Management Are Do-Able Through Partnerships (2013) – Keynote by Sayeed Choudhury, Associate Dean for Research Data Management and Hodson Director of the Digital Research and Curation Center at the Sheridan Libraries of Johns Hopkins University, at the ASERL Summer Summit. Link includes slides and recording of presentation. Presentation explores visions for building research data infrastructures, gives an overview of the 3 broad categories of data services, and new approaches to research support.
- Data Asset Framework – The Data Asset Framework (DAF) provides a method for academic library faculty to conduct an audit of the data set assets within their institution. This can be an early step in the implementation of a data repository or data curation policy. This document provides example survey instruments used at several UK universities for DAF implementation.
- Developing a Research Data Management Services Infrastructure at Carnegie Mellon University (2013) – This white paper describes the university's strategic plan for research data management services, including those provided by the library. Covers their efforts to assemble a university-wide services group, survey faculty, identify needs, and plan for services to address those needs.
- Building research data management services at the University of Edinburgh: a data librarian's view (2012) – Slide presentation by Robin Rice, data librarian at the University of Edinburgh. Highlights key points for libraries to consider when planning institutional research data management policies and programs.
- Creating an Online Research Data Management Course: A Conversation with Data Librarians Robin Rice and Stuart Macdonald (2012) – Interview with pioneer data librarians Robin Rice and Stuart Macdonald, conducted by Andrew Creamer, Data Management Curriculum Project Coordinator at UMass Medical School. Rice and Macdonald discuss the beginnings of UK's Data Curation Centre, history of some of UK's educational initiatives, how their roles as data librarians evolved, requisite skill sets data librarians need, and the MANTRA online data management course that they have developed.
- The application of archival concepts to a data-intensive environment: working with scientists to understand data management and preservation needs (2011) – Describes possible roles for "data archivists and data curators" to help scientists manage their data using archival skills and theories. Gives good background information on the history of archives and their dealings with science data and documentation.
- Assessing the Academic Library's Role in Campus-Wide Research Data Management: A First Step at the University of Houston (2011) – Describes a campus-wide assessment of data management needs and opportunities for the libraries to add value to research support related to data management, in light of the campus's "Plan to Achieve Recognition as a National Research University.”
- Receptivity to Library Involvement in Scientific Data Curation: A Case Study at the University of Colorado Boulder (2011) – Describes an innovative approach to identifying which researchers in an institution are receptive to library involvement in the curation of their research data. Authors analyzed interviews with multiple researchers and from these created eight personas. Each persona represents attributes of researchers that libraries can use when developing a strategy for developing working relationships with researchers on data management initiatives.
- The Last Mile: Liaison Roles in Curating Science and Engineering Research Data (2009) – Approaches taken by the MIT Libraries to address data curation challenges.
- A Subject Librarian's Guide to Collaborating on e-Science Projects (2009) – Advice for subject librarians entering into research data services and developing skills for data curation work. Authors use a case study on their experiences collaborating with two chemistry faculty on an e-science project as the framework for article.
- The Data Dilemma (2007) – MIT librarians explore the challenges faced by researchers, data managers, and librarians in managing the explosion of scientific data, with a focus on obstacles in data storage and data dissemination.
- Librarians as partners in e-research (2007) – Discussion of Purdue University Libraries’ initiatives for developing library services that support e-research. E-Research includes all domains of research that are challenged with exploring new ways of doing research in computationally enhanced and networked environments.
Competencies for Data Librarians
- Data Management Skills Needed by Structural Engineering Students: A Case Study at the University of Minnesota (2013) – University of Minnesota Libraries explore the research data skills needed by students and therefore needed by instructors.
- Digital Curation in the Academic Library Job Market (2012) – Examination of 110 job listings conducted by at team at the University of North Texas to identify what competencies individuals need to work in digital curation. Job ads serve as a crucial indicator of what the requirements are for a qualified workforce in the area of digital curation.
- Upskilling Liaison Librarians for Research Data Management (2012) – A summary of the literature exploring the competencies required by librarians to adopt roles in research data management.
- The Problem of Data: Data Curation Education: A Snapshot (2012) – The second report included in this CLIR publication on the Problem of Data, this report discusses the current landscape of data curation education programs.
- An Assessment of Needed Competencies to Promote the Data Curation and Management Librarianship of Health Sciences, Science and Technology Librarians in New England (2012) – Study on data curation and management competencies needed by health sciences and science and technology librarians to support nascent and future patron and institutional e-Science research endeavors. Data from this research will be used to align a curriculum with the educational needs of an online e-Science portal community of users, and create relevant future professional development for librarians interested in data curation and e-Science librarianship.
- Re-skilling for Research (2012) – Investigates researchers’ information needs and maps the skills and knowledge that librarians need to meet these needs. Offers a comparison of different models of library support for researchers, comparisons of current job descriptions, and training opportunities for librarians.
- Determining Data Information Literacy Needs: A Study of Students and Research Faculty (2011) – Purdue University Libraries explore the needs for educational programs on data for graduate students and describes twelve initial competencies that could serve as the basis for educational programming on data information literacy.
- Education for eScience Professionals: Job Analysis, Curriculum Guidance, and Program Considerations (2011) – Article focuses on the areas of work encompassed within the term e-Science librarianship. Reports results of job analysis of 5 master’s students in targeted internship settings that can be used for program development in iSchools curricula.
- E-Science Librarianship: Field Undefined (2011) – Authors analyze job advertisements for e-Science related positions and the use of the term e-Science to explore what is meant by e-science librarianship. Conclusion of their analysis is that e-science librarianship at present is not a defined field and librarian roles in e-science are nebulous.
- Education for New Roles: What does the science library/informatics professional need to know and be able to do? (2008) – Proceedings from the 2008 ARL/CNI Forum, Reinventing Science Librarianship.
- Skills, Role & Career Structure of Data Scientists & Curators: Assessment of Current Practice & Future Needs (2008) – Study commissioned by UK’s JISC to examine and make recommendations on the role and career development of data scientists and data librarians. Provides nomenclature and definition of roles for data professionals.