How Libraries are involved in RDM CQU Librarians workshop, 11 February 2015 Kathryn Unsworth – Data Librarian This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License

Research data policy and governance Services/roles  Working with business units, faculties and researchers in the development and implementation of policy  RDM working groups/committees  Incorporating RDM in Library strategic planning Who’s doing what? Some examples: 2

3 Research data management policy implementation pilot

RDM working groups 4  Monash University  Southern Cross University  University of the Sunshine Coast  University of Melbourne  Deakin University?  And no doubt many others

5 Libraries and strategic planning

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Data seeking for analysis Services/roles:  Finding appropriate data for analysis  Referral to appropriate experts/resources Who’s doing what? Some examples: 7

8 RDM Libguides – finding data

Data documentation and metadata Services/roles:  Identifying appropriate disciplinary standards  Providing instruction on how (and why) to document data  Assisting with creation of metadata for deposit in a repository Who’s doing what? Some examples: 9

Guides to describing datasets Guidelines for best practice

Data collections metadata capture Monash University online data collection form 11

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Data storage and backups Services/roles  Advice on secure storage options  Referral service  Best practice advice on backing data up Who’s doing what? Some examples: 13

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Data archiving and preservation Services/roles  Identifying best practices (e.g. file formats) for preservation  Locating appropriate archives/repositories  Providing instruction/resources on the importance of archiving and preserving data for future use Who’s doing what? Some examples: 17

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19 Library websites

Archives/repositories UTS – Data Archives QUT – Research data finderQUT – Research data finder / Spatial data finderSpatial data finder 20

Data sharing Services/roles  Helping to locate tools for sharing among collaborators  Identifying appropriate repositories/archives for data  Providing instruction/resources on policies (or recommended practices) and the importance of sharing data Who’s doing what? Some examples: 21

22 Guide to sharing data

Data citation Services/roles  Referring to repositories/archives that provide citations  Providing instruction/resources on how (and why) to cite data  Generating citations (including identifiers like DOIs) Who’s doing what? Some examples: 23

Guides to citing data

Minting DOIs Australian institutions registered as data centres on DataCite Australian institutions registered as data centres on DataCite – through ANDS M2M DOI minting service 25

Data and teaching Services/roles  Finding appropriate datasets for use in teaching  Identifying opportunities for students to engage with data creation  Identifying opportunities for students to use data in learning assessment exercises (e.g. assignments, presentations, etc.)  Advocating for and partnering with academics for the inclusion of data in their teaching Who’s doing what? Not so sure – what about Deakin? 26

Finding datasets for teaching 27

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29 Students as data creators

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31 Students using data in learning assessment tasks

32 Embedding data in the curriculum

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Any other examples? 34

Acknowledgement Bresnahan, M. & Johnson, A. (2012). Data day! Toolkit for a research data workshop for librarians. University of Colorado Boulder Libraries R0bC9kM18xL2FwYWNoZV9tZWRpYS8yMDE1Mzc=.pdf (accessed: 11/02/2015) R0bC9kM18xL2FwYWNoZV9tZWRpYS8yMDE1Mzc=.pdf 35

36 This work is licensed under a Creative Commons Attribution 3.0 Australia License ANDS is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy (NCRIS).