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Addressing skills and management gaps using SWOT analysis: Kathryn Unsworth


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This presentation was part of the CAVAL/ANDS Workshop - Managing library teams for a research and data-intensive future
(Melbourne, 28 July 2017). Workshop program and presentations from other speakers:

Published in: Data & Analytics
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Addressing skills and management gaps using SWOT analysis: Kathryn Unsworth

  1. 1. 28th July 2017 Managing library teams for a research and data-intensive future CAVAL - ANDS workshop
  2. 2. Introductions At table intros - Share your name, role, one comment/thought about how data inclusive your library is
  3. 3. Our speakers today David Groenewegen - Monash University ● A different career path, connecting the eResearch infrastructure dots ● University Utopia Library - what does this library’s workforce look like? Andrew Treloar - ANDS National perspective on eResearch Infrastructure, the skills priority and the importance of people as infrastructure Rowland Mosbergen - University of Melbourne - Libraries/librarians haven't been a part of my research workflow, but perhaps they should be? Steve Androulakis - RDS, Nectar and ANDS Knowing what we each don’t know: bringing Library and Researcher/Developer communities together to bridge the technical divide Lightning talks - Andrew Williams (LTU), Adam Rivett & Sam Gibbard (RMIT), David Groenewegen (Monash)
  4. 4. SWOT analysis activity At table groups (Group 1.1, 1.2, 2.1, 2.2…4.2) • Take 5–10 minutes to generate ideas about Strengths, Weaknesses, Opportunities and Threats related to your skills or management gap topic, keeping in mind the “desired end state” (see pyramid diagram). • Write these ideas on sticky notes (one idea per sticky note) and place them under the appropriate SWOT quadrant, i.e. keep the sticky notes in their groups of Strengths, Weaknesses, Opportunities, and Threats. Are there themes appearing? • Sort the ideas based on their affinity to other ideas. • Create a broad category for each cluster. • Place outliers separate from the clusters. • After you’ve gone through each section of the quadrant, if there’s time you can dot vote on priority themes. What can and should be addressed now? • Discuss the implications in relation to the desired end state.
  5. 5. Desired end state All librarians are data aware More librarians become data advocates Establish a core group of data savvy librarians Potential for Data Science in Libraries and Librarians in Data Science
  6. 6. Addressing skills and management gaps to reach Library Data Utopia Group 1.1, 1.2 - Skills Gap: All Library staff are skilled and are continually upskilled (along a skills continuum) for a domain driven, data-centric world Group 2.1, 2.2 - Skills Gap: Librarians routinely provide keystone expertise and connections throughout the research/data lifecycle Group 3.1, 3.2 - Management Gap: Libraries have workforce models which include Librarians as strategic partners working alongside researchers, potentially outside the Library Group 4.1, 4.2 - Management Gap: Library management strategies enable, sustain and embed data inclusion in library services from undergrad to Deans
  7. 7. Getting to Utopia: Addressing skills and management gaps for the next 24 months What actually needs to happen before 2020 to create your Utopia library? Thinking of practical, achievable, resource-realistic (and sometimes hard) activities: What will your Library have done by the start of the academic year in 2020 to: • Face the threats? • Eliminate the weaknesses? • Take advantage of the opportunities? • Extend strengths as new opportunities arise?
  8. 8. Getting to Utopia: What are Our Library’s next steps? What first steps will we take to reduce or eliminate the skills gap and create data-intensive teams at Our Library over the next 2 years [Move to institution tables for this discussion]
  9. 9. Working in concert - sharing resources, expertise, and infrastructure Add your ideas to the Google doc
  10. 10. What’s happening at ANDS- Nectar-RDS? Wrap-up