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

Federer, Lisa; Foster, Erin D.; Glusker, Ann; Henderson, Margaret; Read, Kevin; Zhao, Shirley

doi:10.5195/jmla.2020.909

Cited by 17 publications

(16 citation statements)

References 3 publications

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“…Perhaps a future initiative could involve a community of data librarian mentors that could be available via chat, email, phone, a Slack channel, and web conferencing. The lead author is already working to address this issue as the coauthor of a commentary that describes a rationale to create the Medical Library Association (MLA) Data Services Competency to further data and open science skills development (Federer et al, 2020). The authors also highlighted that an MLA Data Special Interest Group has been developed, as well as NNLM RDM class cohorts.…”

Section: Commentarymentioning

confidence: 99%

A Pilot to Initiate Research Data Management Services Within Academic Libraries Helps Librarians to Learn About, Engage With, and Enhance Skills Within Their Research Communities

Muellenbach¹

2021

EBLIP

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A Review of: Read, K. B, Koos, J., Miller, R. S., Miller, C. F., Phillips, G. A., Scheinfeld, L., & Surkis, A. (2019). A model for initiating research data management services at academic libraries. Journal of the Medical Library Association, 107(3), 432–441. https://doi.org/10.5195/jmla.2019.545 Abstract Objectives – To initiate or expand research data management (RDM) services within the participating libraries serving health sciences populations. Design – Case report. Setting – Six institutions consisting of three academic health sciences and three university libraries within the National Network of Libraries of Medicine Middle Atlantic Region in the United States of America. Subjects – Between two and eight librarians participated from each institution, for a total of twenty-six librarian participants. Methods – Pre-pilot phone interviews were conducted and included open-ended questions about RDM services, the library’s motivation for participating, and their degree of institutional commitment. To deepen their understanding of RDM, the participants were required to complete eight educational modules that included text, videos, and quizzes. The participating institutions received data interview questions to connect with their research community to be better informed about their attitudes, language, and practices. The participants also received a Teaching Toolkit, complete with slides, a script, and an attendee evaluation form. The participants were provided with a data series, consisting of branded classes for teaching over a designated period with instructors from within and outside of the library. Collaboration with library partners was encouraged as was the use of a focused marketing plan. In fact, a major component of the pilot was the expert support, provided through biweekly meetings that included marketing tips and presentations on such topics as clinical research data management and data visualization. Finally, post-pilot program interviews were conducted, and the open-ended questions covered the pilot program as a whole and its individual components. Main Results – Of the six participating institutions, five institutions rated the RDM educational modules very positively. Conducting data interviews was valuable for all six institutions because it allowed the librarians to meet with researchers, build relationships, and use what they learned to develop RDM services for the future. The Teaching Toolkit was rated positively by the six institutions, especially for its adaptability, the time saved over developing the content from scratch, and its usability. Finally, the two institutions that held the data series courses stated that the series succeeded in further marketing the RDM services developed by the library. Conclusion – The pilot project met its objectives: the librarians at the participating institutions completed the educational modules, administered the data interviews, and taught an RDM foundations class based on the Teaching Toolkit. In addition, a data series was hosted at two institutions. The components of the pilot project had the intended results at each institution, and the classes were reviewed favorably. Based on the pilot participants’ positive outcomes, the authors are certain that the freely available program materials would achieve success elsewhere.

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Section: Commentarymentioning

confidence: 99%

A Pilot to Initiate Research Data Management Services Within Academic Libraries Helps Librarians to Learn About, Engage With, and Enhance Skills Within Their Research Communities

Muellenbach¹

2021

EBLIP

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“…In some cases, external and intermediary actors are essential to generate new technology, so they need to align their strategies and interests. Besides, the relevance of the knowledge and competence of the actors must not be forgotten [Federer et al, 2020]. Information technologies (IT) offer several tools in order to guarantee interactions among the research ecosystem, inside and outside academia, for instance to access resources and guarantees process participation [Schlagwein et al, 2017].…”

Section: Open Sciencementioning

confidence: 99%

Opening Science and Innovation: Opportunities for Emerging Economies

Ottonicar¹,

Marín-Arraiza²,

Armellini³

2020

Foresight and STI Governance

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Open innovation allows partnerships between business through knowledge sharing. The mission of open science is to encourage information sharing about academic research. The purpose of this paper is to demonstrate the relevance of open science to open innovation and vice versa, especially in the context of emerging economies. Furthermore, it aims to show the results of the intersection between university and innovation companies. The methodology was based on a systematic literature review to understand how researchers have been studying the subject. It also focuses on the relevance of open innovation and open science to business management and information science fields. Therefore, the connection between open science and open innovation is fundamental to encourage partnership between business and university. This kind of partnership contributes to the economy of developing countries, so business can become more competitive.

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“…One goal of this framework was to focus not only on academic skills needed but also on how librarians and students engage with data in their personal lives. The work of Acker and Bowler (2017) leans heavily into the skills needed for teens to navigate and manage their personal data, and Federer et al (2020) prioritized the transformation of data into knowledge. The National Network of Libraries of Medicine uses Qin and Ignazio's definition of data literacy: "knowledge and skills involved in collecting, processing, managing, evaluating, and using data for scientific inquiry" (Qin & D'Ignazio, 2010;National Network of Libraries of Medicine, n.d., para.…”

Section: Defining Data Literacymentioning

confidence: 99%

“…Semeler, Pinto, and Rozados (2019) outline the emerging role of data librarianship as being "concerned with the representation, organization, and dissemination of data, and the use of technologies to design research data management and data services" (2019, p. 773). The Medical Library Association's Data Services Competency framework (Federer et al, 2020) reiterates the need for data literacy principles but also puts significant focus on how medical librarians support research labs and projects.…”

Section: Competencies For Patrons and Librariansmentioning

confidence: 99%

Considering data literacy using Kuhlthau’s Information Search Process: Implications for librarians and data providers

Jefferson

Stierholz

Fontichiaro

et al. 2020

Journal of Business & Finance Librarianship

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This article uses Kuhlthau's Information Search Process (ISP) to illustrate ways that librarians can assist students and collaborate with data providers to improve the data search process. Librarians and data providers share similar data literacy goals, and this paper pools the expertise of both groups to focus on strategies and interventions that support novice researchers. We explore our combined experiences and jointly step through students' research phases to examine how each group can contribute to improving that experience. We review students' data literacy needs throughout the research process through the lens of Kuhlthau's six-stage, iterative ISP. Kuhlthau's framework, rooted in empathy, maps to existing knowledge about what students do, think, and feel at various stages of the search process. We identify "zones of intervention" that are both consistent with Kuhlthau's research and are novel to data-rich research projects.

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

Cited by 17 publications

References 3 publications

A Pilot to Initiate Research Data Management Services Within Academic Libraries Helps Librarians to Learn About, Engage With, and Enhance Skills Within Their Research Communities

A Pilot to Initiate Research Data Management Services Within Academic Libraries Helps Librarians to Learn About, Engage With, and Enhance Skills Within Their Research Communities

Opening Science and Innovation: Opportunities for Emerging Economies

Considering data literacy using Kuhlthau’s Information Search Process: Implications for librarians and data providers

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