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Quiz!. As preparation for today’s session, score yourself on how familiar you are with these terms and concepts… 1 – no idea what it is 2 – heard of it but don’t really know what it is 3 – heard of it and broadly get what it’s about 4 – I know what it is
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Quiz! As preparation for today’s session, score yourself on how familiar you are with these terms and concepts… 1 – no idea what it is 2 – heard of it but don’t really know what it is 3 – heard of it and broadly get what it’s about 4 – I know what it is and how it works
About me • Managed metadata / content dissemination and linking for CatchWord / Ingenta • Set up the KBART initiative (UKSG / NISO) to develop best practice for metadata exchange • Now advise publishers on marketing strategy including increasing visibility / usage among end users
What is discoverability? General • Scholarly Search engines REFERENCES Subjecttools Recommendations Colleagues / peers Conferences Social networks Magazines Reading lists USERS A&I database Full text portal Library tools OPAC • Federated / faceted / discovery services
Penetrating the virtuous circle Search engines Subjecttools Recommendations USERS REFERENCES Library tools
Data • Easy identification = easy discovery = easy to cite • Ensure information meets basic industry standards • ISSN • DOI • MARC • OAI-PMH • Share appropriate level of information with partners • Metadata vs Full text
Sharing data: file transfer • CSV file – key metadata elements • Title • ISSN • Dates • URL • etc • FTP – file transfer protocol – sharing files between systems www.uksg.org/kbart
Sharing data: harvesting • API – application programming interface • Back door to your content – machine-to-machine • Authorised software programs can take a structured copy of your data
Sharing data: crawling • Front end “scraping” of your web content • Not structured data – just a record of all the words in each document • Set up as you would an institutional subscriber (IP access to full text) • Speeds up searching of your content on other sites
Quality • Popular subject tools like PubMed and Web of Science are selective based on things like • scientific quality • editorial quality • production quality • citation history • Citations are also important • directly – users following references to find content • impact factor calculations
Quality: internal • Transparent, rigorous processes • Article selection • Peer review • Error correction • Retractions (etc) • Council of Science Editors “Editorial Policy Statements” • Ethical accountability • Committee On Publication Ethics (COPE) Guidelines
Quality: external • Winning the competition for the best authors • identify highly-cited / influential authors • sort them into segments • research contact info • roll out integrated, cross-channel campaign
Quality: communications • Campaign communications should be • consistent (timing & message) • creative • benefit-led – appeal to academic ego! • clear, appropriate call to action
Influence • Top down: reading lists, lectures • Peer-to-peer: conferences, references • Grass roots: usage • Social media strategy: relationships / brand framework • Finding, engaging, listening to users • Insight that can make your marketing more relevant
To recap: where to start • Data • KBART data, to partners from the KBART registry • Quality • Identify and research contact data for highly-cited authors in defined regions / topics • Influence • Identify loyal authors, readers, editors who could become advocates • Define a target audience and theme for a usag campaigns
References • Find links for key concepts, initiatives etc that I’ve mentioned today at: http://www.delicious.com/charlierapple/uksg11 • Or feel free to get in touch with me: charlie.rapple@tbicommunications.com twitter.com/charlierapple (@charlierapple) • Questions?