LR HEAnet Seminar: 5 December 2018

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Presentation transcript:

LR HEAnet Seminar: 5 December 2018 Jo Lambert, Jisc By Coila , CC BY-SA 2.0, https://www.flickr.com/photos/bibbit/6431785919/

Context Rising cost of e-resources vs institutional and consortial budget constraints Data for: Assessing ROI Evaluating content Reporting Demonstrating impact Marketing & promotion Understanding usage patterns and trend forecasting

Challenges Access data collection and collation is time consuming Analysis data is inaccurate, unreliable, incomparable, inconsistent, & lacking context Report timely reporting communications/engagement By Berrios , CC BY 2.0, https://flic.kr/p/5iWKS3

Opportunities COUNTER standard Supporting consistent, credible, comparable usage data Effective (& automated) tools built on standard to streamline work processes and optimise people time

Journal Usage Statistics Portal (JUSP) Title of presentation (Insert > Header & Footer > Notes and Handouts > Header > Apply to all) 15/04/2019 Journal Usage Statistics Portal (JUSP) Access: Quality assured, COUNTER-compliant usage data presented via simple, intuitive reports with export options for further analysis Analyse: Track usage, analyse trends over time, compare & benchmark Report: Create reports to monitor and communicate performance and ROI at the touch of a button

Data ingest & processing Gathered via SUSHI Harvest data Quality checked for standards compliance Loaded into portal Process & load data Onscreen via reports & data vis Present data CSV SUSHI server Support export

Publishers and data 89 publishers http://jusp.jisc.ac.uk/participants/

Data presentation Presentation Journal level & summary reports Book level & summary reports Database and platform reports Usage profiling reports Consortium level reports Data visualisations Charts show dummy data 15/04/2019

JUSP use cases Reporting internal/external Decision making Purchasing, renewals, substitutions Evaluation Packages & purchasing models Value and impact Promotion

Summary of usage Charts show dummy data

JUSP: data to support new insights Rationale Libraries increasingly data-driven Data vis used to support broader understanding and analysis Previous visualisations limited flexibility and functionality Opportunities to support HEI processes Feedback Alternative means of querying data Engaging new audiences Interactive and flexible Charts show dummy data

Institutional Repository Usage Statistics (IRUS-UK) Title of presentation (Insert > Header & Footer > Notes and Handouts > Header > Apply to all) Institutional Repository Usage Statistics (IRUS-UK) A national aggregation service, enabling IRs to share/expose usage statistics at the individual item level, based on a global standard – COUNTER Collect raw download data from IRs for all item types within repositories Process those raw data into COUNTER- conformant statistics 15/04/2019 15/04/2019

Data ingest & processing Code added to IR software Raw data sent to IRUS server Gather data Processed into COUNTER conformant stats Process & load data Onscreen via reports & data vis Present data CSV, TSV SUSHI Lite Widget Support export

Use of IRUS

Reports

Download trends

Downloads by country

International collaborations

Data Comparison Context Communication Standards Efficiency Interoperability

Links JUSP: http://jusp.jisc.ac.uk Case studies: https://jusp.jisc.ac.uk/case-studies/ Use cases: https://jusp.jisc.ac.uk/use-cases/ IRUS: http://irus.mimas.ac.uk Case studies: http://irus.mimas.ac.uk/support/casestudies/ Use cases: http://irus.mimas.ac.uk/support/usecases/ Jisc: https://www.jisc.ac.uk/ COUNTER: https://www.projectcounter.org

Contact us Jo Lambert Jo.lambert@jisc.ac.uk 05/06/2018