Assessing scholarly communication and research data training needs

Author:

Bresnahan Megan M.,Johnson Andrew M.

Abstract

PurposeThis study aims to develop a systematic approach for assessing local training needs in order to reskill liaison librarians for new roles in scholarly communication and research data management.Design/methodology/approachThis study followed a training needs assessment approach to develop a survey instrument that was administered electronically to liaison librarians. Survey data were analysed to create an overall prioritization score used to rank local training topics in terms of need. Additional data will inform the design, including formats, of a training agenda to meet these needs.FindingsSurvey results indicated that training for research data topics should be prioritized and addressed using hands‐on methods that would allow liaison librarians to develop tangible skills directly applicable to individual outreach activities.Research limitations/implicationsTraining priorities often involve factors beyond the scope of this training needs assessment methodology. This methodology also presupposes a list of potential training topics. All training efforts resulting from this study will be assessed in order to determine the effectiveness of the initial interventions and inform the next steps in this iterative training agenda.Practical implicationsInvolving potential trainees in the prioritization and development of a training agenda provides valuable information and may lead to increased receptivity to training.Originality/valueThis study provides a model for academic libraries to use to assess training needs in order to reskill current staff to adapt to a rapidly changing research and scholarly communication landscape.

Publisher

Emerald

Subject

Library and Information Sciences

Reference34 articles.

1. Association of Research Libraries (2012), SPEC Kit 332: Organization of Scholarly Communication Services, available at: http://publications.arl.org/Organization‐of‐Scholarly‐Communication‐Services‐SPEC‐Kit‐332/ (accessed 17 December 2012).

2. Auckland, M. (2012), “Re‐skilling for research”, Research Libraries UK, available at: www.rluk.ac.uk/content/re‐skilling‐research (accessed 17 December 2012).

3. Ball, A. (2012), Review of Data Management Lifecycle Models, available at: http://opus.bath.ac.uk/28587/ (accessed 17 December 2012).

4. Blue Ribbon Task Force on Sustainable Digital Preservation and Access (2008), Sustainable Economics for a Digital Planet: Ensuring Long‐term Access to Digital Information, available at: http://brtf.sdsc.edu/ (accessed 12 November 2012).

5. Bracke, M.S. (2011), “Emerging data curation roles for librarians: a case study of agricultural data”, Journal of Agricultural & Food Information, Vol. 12 No. 1, pp. 65‐74.

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