Quiz!Term / concept At 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 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 is2 – heard of it but don’t really know what it is3 – heard of it and broadly get what it’s about4 – I know what it is and how it works

About meManaged 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?

What is discoverability?

USERSUSERS

Colleagues / peersConferencesSocial networksMagazinesReading lists

OPAC • Federated / faceted / discovery services

A&I databaseFull text portal

General • Scholarly

Spotlight on library toolsEx Libris

Serials Solutions

EBSCO Innovative Interfaces

LMS / ILS Aleph Millennium

ERM / ERAMS

Verde 360 Resource Manager

A-to-Z Millennium ERM

Link resolver

SFX 360 Link LinkSource WebBridge

Metasearch

MetaLib 360 Search Integrated Search

Research Pro

Faceted search

Primo Aquabrowser Discovery Service

Encore

Discovery Summon

Penetrating the virtuous circle

USERSUSERS

DataEasy identification = easy discovery = easy to cite

Ensure information meets basic industry standards ISSNDOIMARCOAI-PMH

Share appropriate level of information with partnersMetadata vs Full text

Sharing data: file transferCSV file – key metadata elements

Title ISSNDatesURLetc

FTP – file transfer protocol – sharing files between systemswww.uksg.org/kbart

Sharing data: harvestingAPI – application programming interface

Back door to your content – machine-to-machine

Authorised software programs can take a structured copy of your data

Sharing data: crawlingFront 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

QualityPopular subject tools like PubMed and Web of

Science are selective based on things likescientific qualityeditorial qualityproduction qualitycitation history

Citations are also important directly – users following references to find content impact factor calculations

Quality: internalTransparent, rigorous processes

Article selectionPeer reviewError correctionRetractions (etc) Council of Science Editors “Editorial Policy

Statements”

Ethical accountabilityCommittee On Publication Ethics (COPE)

Guidelines

Quality: externalWinning the competition for the best authors

identify highly-cited / influential authorssort them into segmentsresearch contact inforoll out integrated, cross-channel campaign

Quality: communicationsCampaign communications should be

consistent (timing & message)creativebenefit-led – appeal to academic ego!clear, appropriate call to action

InfluenceTop down: reading lists, lectures

Peer-to-peer: conferences, references

Grass roots: usage

Social media strategy: relationships / brand frameworkFinding, engaging, listening to users Insight that can make your marketing more

relevant

To recap: where to startData

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 advocatesDefine a target audience and theme for a usag

campaigns

ReferencesFind 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?