Quiz! Term / conceptAt the startBy the end Discoverability OPAC OpenURL / link resolver Metasearch Vertical search Metadata KBART Harvesting API Crawling Impact factor Advocacy Grass roots I scored mostly …1 / 2 / 3 / 4 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

Why bother? DiscoveryUsage Value Influence Renewal

What is discoverability? USERS Colleagues / peers Conferences Social networks Magazines Reading lists OPAC Federated / faceted / discovery services A&I database Full text portal General Scholarly

Spotlight on library tools Ex LibrisSerials Solutions EBSCOInnovative Interfaces LMS / ILSAlephMillennium ERM / ERAMS Verde360 Resource Manager A-to-ZMillennium ERM Link resolverSFX360 LinkLinkSourceWebBridge MetasearchMetaLib360 SearchIntegrated Search Research Pro Faceted search PrimoAquabrowserDiscovery Service Encore DiscoverySummon

Penetrating the virtuous circle USERS

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

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: Or feel free to get in touch with me: twitter.com/charlierapple Questions?