The Medical Library Association Data Services Competency: a framework for data science and open science skills development

Authors

DOI:

https://doi.org/10.5195/jmla.2020.909

Keywords:

Data Science, Open Science, Data Services, Data Literacy

Abstract

Increasingly, users of health and biomedical libraries need assistance with challenges they face in working with their own and others’ data. Librarians have a unique opportunity to provide valuable support and assistance in data science and open science but may need to add to their expertise and skill set to have the most impact. This article describes the rationale for and development of the Medical Library Association Data Services Competency, which outlines a set of five key skills for data services and provides a course of study for gaining these skills.

References

Medical Library Association. Professional competencies for health sciences librarians [Internet]. The Association; 2007 [cited 10 Apr 2017]. <http://www.mlanet.org/education/policy/>.

Cox A, Verbaan E, Sen B. Upskilling liaison librarians for research data management. Ariadne [Internet]. Loughborough University Library [cited 2 Oct 2019]. <http://www.ariadne.ac.uk/issue/70/cox-et-al/>.

Yoon A, Schultz T. Research data management services in academic libraries in the US: a content analysis of libraries’ websites. Coll Res Libr. 2017 Oct;78(7):920. DOI: http://dx.doi.org/10.5860/crl.78.7.920.

Khan HR, Du Y. What is a data librarian?: a content analysis of job advertisements for data librarians in the United States academic libraries [Internet]. Presented at: International Federation of Library Associations and Institutions (IFLA) World Library and Information Congress; Kuala Lumpur, Malaysia; 2018 [cited 19 Feb 2020]. <http://library.ifla.org/id/eprint/2255>.

Glusker A, Madhavan A. Spring 2017 research data management needs assessment survey results [Internet]. 2017 [cited 2 Oct 2019]. <https://nnlm.gov/sites/default/files/pnr/files/reports/RDM_Needs_Assessment_Survey_Results.pdf>.

Federer L. Defining data librarianship: a survey of competencies, skills, and training. J Med Libr Assoc. 2018 Jul;106(3):294–303. DOI: http://dx.doi.org/10.5195/jmla.2018.306.

Creamer A, Morales M, Crespo J, Kafel D, Martin E. An assessment of needed competencies to promote the data curation and management librarianship of health sciences and science and technology librarians in New England. J eSci Librariansh. 2012;1(1):18–26.

Shahbazi R, Hedayati A. Identifying digital librarian competencies according to the analysis of newly emerging IT-based LIS jobs in 2013. J Acad Librariansh. 2016 Sep;42(5):542–50. DOI: http://dx.doi.org/10.1016/j.acalib.2016.06.014.

Kim J, Warga E, Moen W. Digital curation in the academic library job market. Proc Am Soc Inf Sci Technol Annu Meet. 2012;49(1)1–4.

Kennan MA. Data management: knowledge and skills required in research, scientific and technical organisations [Internet]. Presented at: International Federation of Library Associations and Institutions (IFLA) World Library and Information Congress; Columbus, OH; 2016 [cited 19 Feb 2020]. <http://library.ifla.org/id/eprint/1466>.

Rambo N. Research data management roles for libraries background: the emerging role of data management in research libraries. Ithaka S+R; 2015.

Schmidt B, Shearer K. Librarians’ competencies profile for research data management. Joint Task Force on Librarians’ Competencies in Support of E­Research and Scholarly Communication; 2016.

Semeler AR, Pinto AL, Rozados HBF. Data science in data librarianship: core competencies of a data librarian. J Librariansh Inf Sci. 2019 Sep 26;51(3):771–80. DOI: http://dx.doi.org/10.1177/0961000617742465.

Bryant R, Lavoie B, Malpas C. The realities of research data management: part 2: scoping the university RDM service bundle [Internet]. OCLC; 2017 [cited 19 Feb 2020]. 40 p. <https://www.oclc.org/content/dam/research/publications/2017/oclcresearch-rdm-part-two-scoping-service-model-2017.pdf>.

National Network of Libraries of Medicine. Data literacy [Internet]. The Network; 2019 [cited 4 Oct 2019]. <https://nnlm.gov/data/thesaurus/data-literacy>.

Qin J, D’Ignazio J. Lessons learned from a two-year experience in science data literacy education [Internet]. Presented at: 31st Annual International Association of Scientific and Technological University Libraries; Purdue University, West Lafayette, IN; 22 Jun 2010 [cited 19 Feb 2020]. <https://docs.lib.purdue.edu/iatul2010/conf/day2/5/>.

Dorsch JL, Perry GJ. Evidence-based medicine at the intersection of research interests between academic health sciences librarians and medical educators: a review of the literature. J Med Libr Assoc. 2012 Oct;100(4):251–7. DOI: http://dx.doi.org/10.3163/1536-5050.100.4.006.

DCP. Data curation profiles [Internet]. DCP; 2014 [cited 6 Dec 2019]. <http://datacurationprofiles.org/>.

Read KB, Koos J, Miller RS, Miller CF, Phillips GA, Scheinfeld L, Surkis A. A model for initiating research data management services at academic libraries. J Med Libr Assoc. 2019 Jul;107(3):432–41. DOI: http://dx.doi.org/10.5195/jmla.2019.545.

Martin ER, Goldman J, Creamer AT, Kafel DM. New England collaborative data management curriculum [Internet]. Lamar Soutter Library, University of Massachusetts Medical School; 2013 [cited 3 Aug 2017]. <http://library.umassmed.edu/necdmc/index>.

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Published

2020-04-01

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