Delivered at the University of Cambridge as part of Open Access Week 201

Hufton, Andrew L.

Apollo (Cambridge)

Making data publication a first class research outputAndrew L. HuftonManaging Editor, Scientific Datahttps://www.nature.com/sdata/Helping Researchers Publish, University of Cambridge, Oct 2017 1A. L. Hufton Helping Researchers Publish, Cambridge 2017Launched in May 20142A. L. Hufton Helping Researchers Publish, Cambridge 2017• A clear, peer reviewed description of data, to maximize usage• Citable publications that give credit for reusable data• Visit our journal homepage to learn more: https://www.nature.com/sdata/the data paper3A. L. Hufton Helping Researchers Publish, Cambridge 2017Get Credit for Sharing Your DataPublications will be indexed and citeable.Open-accessData Descriptors are published under a Creative Commons Attribution licence (CC BY). Each publication supported by CC0 metadata. Focused on Data ReuseAll the information others need to reuse the data; no interpretative analysis, or hypothesis testingPeer-reviewedRigorous peer-review focused on technical data quality and reuse valuePromoting Community Data RepositoriesNot a new data repository; data stored in community data repositories 41The Data Descriptor article-type5A. L. Hufton Helping Researchers Publish, Cambridge 2017Data DescriptorFocus on data reuseSections:• Title• Abstract• Background & Summary• Methods• Data Records• Technical Validation• Usage Notes • Figures & Tables • References• Data Citations• Detailed descriptions of the methods and technical analyses supporting the quality of the measurements.• Does not contain tests of new scientific hypotheses6A. L. Hufton Helping Researchers Publish, Cambridge 2017• Screen results and in-depth analysis published in 2011 at PNAS• Full screen data  published at Scientific Datain 2014• Data at figshare• Data Descriptor cited 117 times according to Google Scholar!High-throughput screening7A. L. Hufton Helping Researchers Publish, Cambridge 2017• Previously unpublished dataset• Data in OpenfMRI• Cited 42 times according to Google Scholar• Authors ran an analysis challenge after publicationNeuroscienceAdditional resources• More information and updates available at: http://www.studyforrest.org• Source code repository: http://github.com/hanke/gumpdataCode in GitHub8A. L. Hufton Helping Researchers Publish, Cambridge 2017In-house curation team:• assists users to submit the structured content via simple templates and an internal authoring tool• performs value-added semantic annotation of the experimental metadataanalysis method scriptData file or record in a databaseData DescriptorStructured metadata9A. L. Hufton Helping Researchers Publish, Cambridge 2017Explore this structured metadata with ISA-explorer http://scientificdata.isa-explorer.org/credit Alejandra Gonzalez-Beltran, Susanna Assunta-Sansone10A. L. Hufton Helping Researchers Publish, Cambridge 2017Open data is about more than disclosure – it must be “FAIR”• Findable• Accessible• Interoperable• Re-usableWilkinson et al. Sci. Data doi:10.1038/sdata.2016.18 (2016)https://www.nature.com/articles/sdata201618112Helping authors find the right repository for their data12A. L. Hufton Helping Researchers Publish, Cambridge 2017Browse our recommended data repository online. • We currently list more than 90 repositories, across the biological, physical and social sciences• We advise authors on the best place to store their data• Support the use of institutional repositories, including the University of Cambridge data repository (https://www.data.cam.ac.uk/repository)  Find the right repository for your datahttp://www.nature.com/sdata/policies/repositories133A rigorous, community-based editorial process14A. L. Hufton Helping Researchers Publish, Cambridge 2017Criteria for publicationhttps://www.nature.com/sdata/policies/for-referees• Acceptance for publication is based on the • technical rigour of the procedures used to generate the data• the reuse value of the data• the completeness of the data description• Evaluation is not be based on the perceived impact or novelty of the findings associated with the datasets. 15A. L. Hufton Helping Researchers Publish, Cambridge 2017Data policieshttps://www.nature.com/sdata/policies/data-policies• Editors and peer-reviewers have the right to view the data during their evaluation• Before peer-view we check:• Links to the datasets work (see first page of PDF)• Data are hosted in a repository that meets our policies• At time of publication, authors must publicly release the data under terms that permit wide reuse (i.e. as “open data”)• Restrictions on commercial use or redistribution are not permitted164Promoting a culture of credit for data sharing17A. L. Hufton Helping Researchers Publish, Cambridge 2017Researchers want to know when their data is used in published worksFromMaking data countJohn E. Kratz & Carly Strasser. Sci. Data doi:10.1038/sdata.2015.39 (2015)100%18A. L. Hufton Helping Researchers Publish, Cambridge 2017But repositories have a hard time tracking actual data useFromMaking data countJohn E. Kratz & Carly Strasser. Sci. Data doi:10.1038/sdata.2015.39 (2015)19A. L. Hufton Helping Researchers Publish, Cambridge 2017In-article data citation20A. L. Hufton Helping Researchers Publish, Cambridge 2017Get the most from your dataPreserve itEncourage reuseGet creditEncourage others to do the same21A. L. Hufton Helping Researchers Publish, Cambridge 2017Now launched!Visit nature.com/scientificdataEmail scientificdata@nature.comTweet @ScientificDataManaging EditorAndrew L. Huftonandrew.hufton@nature.comHonorary Academic EditorSusanna-Assunta SansoneData Curation EditorVarsha KhodiyarSenior Publishing AssistantJoseph SalterHead of Data PublishingIain HrynaszkiewiczThanks!Supported by

Making data publication a first class research output

https://www.repository.cam.ac.uk/bitstream/handle/1810/268207/PRE_AndrewLHufton_V1_20171103.pdf?sequence=1&isAllowed=y

Making data publication a first class research output

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