Data Citation: the next big thing… ?!?! 1 Victoria University 20 Nov. 2014

2 Image: By PPNF (Own work) [Public domain], via Wikimedia Commons Surfing the Information Tsunami – tools to cope

3 ANDS Purpose: To make Australia’s research data assets more valuable for its researchers, research institutions and the nation.

ANDS enables transformation of: Data that are: Unmanaged Disconnected Invisible Single use To Structured Collections that are: Managed Connected Findable Reusable so that Australian researchers can easily publish, discover, access and use/re-use research data. 4

More …Data Citation… in detail… 1.Data Journals; Data Citation Index 2.VU Institutional (Data) and other Repositories 3.Training for librarians | for researchers 4.Discovery, citation, metrics; measuring research 5.How to enhance discovery 5

1. DATA JOURNALS 6

Data Journals  About Scientific Data “ Scientific Data is an open-access, peer-reviewed publication for descriptions of scientifically valuable datasets.”  Scientific Data primarily publishes:  “Data Descriptors, a new type of scientific publication designed to promote an in-depth understanding of research datasets”. 7

Dryad (datadryad.org) 8

2.VU INSTITUTIONAL (DATA) REPOSITORIES 9

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3.TRAINING FOR LIBRARIANS / RESEARCHERS 12

Where can I find training? ANDS resources 13 ANDS Webinars and presentations ANDS YouTube Channel 32 mentions of Data Citation on Presentation page, 2 youtube clips

Videos on Sharing Data…  Persistent IDs and Data Citation: Rsch Data Netherlands (5mins) Persistent IDs and Data Citation  Sharing Data: Good for science, good for you: DANS Netherlands (4 mins) [Data the new oil]Sharing Data: Good for science, good for you  Managing Research Data: Digital Curation Centre, Edinburgh UK (first five of 12 mins) Managing Research Data  Whose data is it anyway? Yale School of Medicine (2 mins) [YODA; Yale Open Data Access] Whose data is it anyway 14

Further Training For Librarians / Rschers  DCC: rdm-services/rdm-training-librarians  Australian: see ANDS Project Registry   International  ANDS International Catalogue of research data management training:International Catalogue of research data management 15

4.DISCOVERY, CITATION, METRICS 16

17 researchdata.ands.org.au

18 Woodrow, Ross Laughren, Patrick ( 2011 ): Queensland Films : from Talkies to Television. Griffith Film School, Griffith University.

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20 DOIs for data: how to cite Woodrow, Ross Laughren, Patrick ( 2011 ): Queensland Films : from Talkies to Television. Griffith Film School, Griffith University.

21 Digital Object Identifiers – the basics Globally unique identifier; Easy and persistent access to research data (and other resource types); DOIs are “minted” and are “resolvable”; Minting implies a long term commitment to maintain the resource; DOIs support automated tracking of reuse aka data citation metrics.

22 DOIs and ANDS DOI Styles doi: /PANGAEA /13/50BBFCFE08A ANDS Cite My Data Service -> DataCite registration agency Minimum set of metadata required to mint a DOI Identifier, Creator, Title, Publisher, Publication Year ANDS DOIs are for research data, software, workflows

Funders & Government(s) Publishers Researchers Citation tracking products and services ANDS 23 Who cares about data citation? image:

24 Researchers care

25 The citation benefit intensified over time... ...with publications from 2004 and 2005 cited 30 per cent more often if their data was freely available.  Every 100 papers with open data prompted 150 "data reuse papers" within five years  Original authors tended to use their data for only two years, but others re-used it for up to six years. Piwowar HA, Vision TJ. (2013) Data reuse and the open data citation advantage. PeerJ 1:e175 Why ? for related publications

26 Released Nov 2012

Thomson Reuters recommends citing this resource as: Global Soil Data Task (2000): GLOBAL GRIDDED SURFACES OF SELECTED SOIL CHARACTERISTICS (IGBP-DIS). Version 9.0. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 27

28 Scopus – not yetTracking – Scopus (not yet)

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30 To summarise … » Data citation is becoming accepted scholarly practice » Traditional journals are embracing data citation; Many new journals assume data citation » Research funding will have more emphasis on data access + reuse = citation » Scholarly metrics will eventually include citations to data » altmetrics will become more important: reach and impact & early identification of seminal datasets » DOIs – best practice for persistent access to data products

31 What to do next? the rewards … Ensure data is discoverable, reusable, citable and trackable  “readiness checklist” Describe data (more=>better) Add licence to data (eg CC-BY) Identify data (eg a DOI) Publish data (with descriptions) Cite data (inc. authors) Reuse data (cite and publish) Count data (eg altmetrics) DOI FAQ/checklist at:

5. HOW TO ENHANCE DATA DISCOVERY 32

 Do we have a data description (metadata) catalogue?  Do we have a store of publicly available data?  Do our researchers regularly archive data?  Are our researchers interested in data citation?  Do our policy makers support data citation?  Are our datasets stable?  Do we have access to a developer to implement the tools? Source: Dave Connell, Australian Antarctic Data Centre 33 Is my organisation ready for data citation? ?

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What needs to happen for research data citation to become common in VU by 2015? - For Researchers – For Others 35

Richard is the VU-ANDS Outreach person ANDS works with 40 Institutions rather than 100,000 researchers, so our main VU contacts are: Lyle in the Research Office, Adrian and Julie in the Library. 36