Research data services in veterinary medicine libraries

Kerby, Erin

doi:10.3163/1536-5050.104.4.010

Cited by 4 publications

(2 citation statements)

References 8 publications

(7 reference statements)

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“…As health sciences researchers have been asked to share their data more frequently due to funder policies, journal requirements, or interest from their peers, health sciences librarians (HSLs) have simultaneously begun to provide support to researchers in this space through training [14,15], participating in RDM efforts on research grants [16,17], and developing comprehensive data services programs [18][19][20][21][22]. If supporting researchers' data sharing efforts is a worthwhile investment for HSLs, it is crucial that we practice data sharing in our own research endeavours.…”

Section: Introductionmentioning

confidence: 99%

Embracing the value of research data: introducing the JCHLA/JABSC Data Sharing Policy

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Campbell

Kitchin

et al. 2021

J Can Health Libr Assoc

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As health sciences researchers have been asked to share their data more frequently due to funder policies, journal requirements, or interest from their peers, health sciences librarians (HSLs) have simultaneously begun to provide support to researchers in this space through training, participating in RDM efforts on research grants, and developing comprehensive data services programs. If supporting researchers' data sharing efforts is a worthwhile investment for HSLs, it is crucial that we practice data sharing in our own research endeavours. sharing data is a positive step in the right direction, as it can increase the transparency, reliability, and reusability of HSL-related research outputs. Furthermore, having the ability to identify and connect with researchers in relation to the challenges associated with data sharing can help HSLs empathize with their communities and gain new perspectives on improving support in this area. To that end, the Journal of the Canadian Health Libraries Association / Journal de l’Association des bibliothèques de la santé du Canada (JCHLA / JABSC) has developed a Data Sharing Policy to improve the transparency and reusability of research data underlying the results of its publications. This paper will describe the approach taken to inform and develop this policy.

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Section: Introductionmentioning

confidence: 99%

Embracing the value of research data: introducing the JCHLA/JABSC Data Sharing Policy

Read

Campbell

Kitchin

et al. 2021

J Can Health Libr Assoc

View full text Add to dashboard Cite

show abstract

“…These documents help inform hiring decisions, continuing education, and curriculum development to ensure a workforce that is prepared to meet the information needs of the users they serve [ 17 – 19 ]. In the absence of an understanding in the profession of the data librarian role, library policy and strategic planning might not accurately reflect the experience of “frontline” data librarians [ 20 ], and librarians may even feel uncertain about exactly what “research data services” entails [ 21 ]. This uncertainty may also extend to iSchools, whose curriculum may be inadequate to prepare students to later fill data librarian positions [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

Defining data librarianship: a survey of competencies, skills, and training

Federer

2018

jmla

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ObjectivesMany librarians are taking on new roles in research data services. However, the emerging field of data librarianship, including specific roles and competencies, has not been clearly established. This study aims to better define data librarianship by exploring the skills and knowledge that data librarians utilize and the training that they need to succeed.MethodsLibrarians who do data-related work were surveyed about their work and educational backgrounds and asked to rate the relevance of a set of data-related skills and knowledge to their work.ResultsRespondents considered a broad range of skills and knowledge important to their work, especially “soft skills” and personal characteristics, like communication skills and the ability to develop relationships with researchers. Traditional library skills like cataloging and collection development were considered less important. A cluster analysis of the responses revealed two types of data librarians: data generalists, who tend to provide data services across a variety of fields, and subject specialists, who tend to provide more specialized services to a distinct discipline.DiscussionThe findings of this study suggest that data librarians provide a broad range of services to their users and, therefore, need a variety of skills and expertise. Libraries hiring a data librarian may wish to consider whether their communities will be best served by a data generalist or a subject specialist and write their job postings accordingly. These findings also have implications for library schools, which could consider adjusting their curricula to better prepare their students for data librarian roles.

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A two-tiered curriculum to improve data management practices for researchers

Read¹,

Larson²,

Gillespie³

et al. 2019

PLoS ONE

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Background Better research data management (RDM) provides the means to analyze data in new ways, effectively build on another researcher’s results, and reproduce the results of an experiment. Librarians are recognized by many as a potential resource for assisting researchers in this area, however this potential has not been fully realized in the biomedical research community. While librarians possess the broad skill set needed to support RDM, they often lack specific knowledge and time to develop an appropriate curriculum for their research community. The goal of this project was to develop and pilot educational modules for librarians to learn RDM and a curriculum for them to subsequently use to train their own research communities. Materials and methods We created online modules for librarians that address RDM best practices, resources and regulations, as well as the culture and practice of biomedical research. Data was collected from librarians through questions embedded in the online modules on their self-reported changes in understanding of and comfort level with RDM using a retrospective pre-post design. We also developed a Teaching Toolkit which consists of slides, a script, and an evaluation form for librarians to use to teach an introductory RDM class to researchers at their own institutions. Researchers’ satisfaction with the class and intent to use the material they had learned was collected. Actual changes in RDM practices by researchers who attended was assessed with a follow-up survey administered seven months after the class. Results and discussion The online curriculum increased librarians’ self-reported understanding of and comfort level with RDM. The Teaching Toolkit, when employed by librarians to teach researchers in person, resulted in improved RDM practices. This two-tiered curriculum provides concise training and a ready-made curriculum that allows working librarians to quickly gain an understanding of RDM, and translate this knowledge to researchers through training at their own institutions.

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Research data services in veterinary medicine libraries

Cited by 4 publications

References 8 publications

Embracing the value of research data: introducing the JCHLA/JABSC Data Sharing Policy

Embracing the value of research data: introducing the JCHLA/JABSC Data Sharing Policy

Defining data librarianship: a survey of competencies, skills, and training

A two-tiered curriculum to improve data management practices for researchers

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