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Automate it – open access (compliance) as by-product of better workflows

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Presentation about challenges and solutions for open access workflows, including a case study on OA at Imperial College London. Presented at the 11 May Digital Science Webinar on "Smarter Open Access Workflows".

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Automate it – open access (compliance) as by-product of better workflows

  1. 1. Automate it – open access (compliance) as by-product of better workflows Digital Science Webinar: Smarter Open Access Workflows, 11 May 2016 Dr Torsten Reimer, Scholarly Communications Officer http://orcid.org/0000-0001-8357-9422 / @torstenreimer Imperial College London
  2. 2. Imperial College London • Faculties of Engineering, Medicine, Natural Sciences and the Business School • Ranked 3rd in Europe / 8th in the world (THE 2015-16 rankings) • Net income (2015): £969m, incl. £428m research grants/contracts • ~15,000 students, ~8,000 staff, incl. ~3,900 academic & research staff • Staff publish 10-12,000 scholarly articles per year • 2015 APC spend: £1.7m • Data-intensive research: largest data traffic into UK academic network • Committed to open access and best practice in data management
  3. 3. The challenge: (sample of) UK funder requirements • Research assessment brings College ~£100m/year • Required: article deposit within 3 months of acceptance Higher Education Funding Councils • Report all outputs to funder via ResearchFish system • 100% open access to scholarly articles by 2018 Research Councils UK • College able to track location of all data assets • Ideally all research data made available publicly Engineering & Physical Sciences Research Council
  4. 4. Publications tracking at Imperial College Symplectic Elements Scopus Web of Science arXiv PubMed etc. College grants College HR College Repository Staff web pages Individual Academic
  5. 5. HOWEVER: Selection of issues with current workflows • Authorship of articles not always recognised reliably • Accuracy and completeness of publisher metadata • Limited or no tracking of non-traditional outputs (data, software, etc.) • No publisher workflow for article metadata/manuscripts on acceptance • Issues with sharing data between systems (lack of identifiers), incl. finding co-authored publications on other universities’ repositories  Requires academic action (linking data sources, claiming articles)  Inefficient manual workflows (repeat data entry), disliked by academics
  6. 6. Simplify compliance: combine green & gold workflow On acceptance •Deposit •Apply for APC •Link funding Manuscript into repository APC data into ASK OA Compliance with green & gold mandates in one step Managed through Symplectic (+ASK OA) Ask for minimum information required
  7. 7. ASK OA (cloud-based APC management system)
  8. 8. Progress made 0 1000 2000 3000 4000 5000 6000 2013 2014 2015 Open Access outputs Deposits APCs 0 200 400 600 800 1000 1200 1400 1600 1800 2000 2013 2014 2015 2016 ORCIDs in Symplectic • College meets RCUK and Wellcome Trust targets • 18x increase in deposits between 2012-2015
  9. 9. Automated “on acceptance” workflow with ORCID Author links ORCID with CRIS …shares ORCID iD with publisher …shares funder information with publisher Publisher mints DOI on acceptance …shares iD and funder details with CrossRef CRIS pulls data from CrossRef, using ORCID iD Jisc Publications Router manuscript Link via iD http://www.imperial.ac.uk/orcid CRIS = Current Research Information System (Symplectic Elements at Imperial)
  10. 10. Conclusion • Aim: author interacts only once with each output, ideally on acceptance • All information required to understand an output is embedded in metadata, from acceptance, and enhanced at later stages: • Accurate dates: acceptance, publication • Identifiers: DOI, ORCID, Funding Data, institutional ID • Clear licencing information • Systems automate sharing of data, data enhanced as it is passed on  Make scholarly communications more efficient for all parties involved  Automate OA, make compliance a by-product of good workflow  Publisher can add value by providing useful metadata early

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