Institutional Repository Usage Statistics Repository Managers Webinar 17 April 2013 Balviar Notay, Jisc Ross Macintyre, Mimas Paul Needham, Cranfield University Angela Conyers, Evidence Base, BCU
IRUS-UK Funded by Jisc as part of UK RepositoryNet+ Led by Mimas Primary Project Team Members: Mimas Cranfield University EvidenceBase, BCU IRUS-UK: Institutional Repository Usage Statistics - UK
IRUS-UK: history Emerged as an outcome of PIRUS2 Publisher and Institution Repository Usage Statistics project http://www.cranfieldlibrary.cranfield.ac.uk/pirus2/ Aimed to develop a global standard to enable the recording, reporting and consolidation of online usage statistics for individual journal articles hosted by Institutional Repositories, Publishers and others Proved it was technically feasible, but thwarted by organisational and political issues However, crisis/opportunity we now knew it was possible to
IRUS-UK: aim Enable UK IRs to share/expose usage statistics based on a global standard COUNTER Produced on the same basis as publishers Filtered to remove robots and double clicks Comparable Reliable Trustworthy Authoritative
IRUS-UK: objectives Collect raw usage data from UK IRs for all item types within repositories Downloads not record views Process those raw data into COUNTER-compliant statistics Return those statistics back to the originating repositories for their own use Give Jisc (and others) a nation-wide picture of the overall use of UK repositories demonstrate their value and place in the dissemination of scholarly outputs Offer opportunities for benchmarking Act as an intermediary between UK repositories and other agencies e.g. global central clearinghouse, national shared services, Research Councils, SCONUL, OpenAIRE
IRUS-UK: how do we gather data? We considered 2 ways of gathering download data from IRs: Push Whenever a download occurs the repository pings the IRUS-UK server with details about the download We call it the Tracker Pull When a download occurs the details of the event are stored on the local repository server IRUS-UK periodically harvests the download data using the OAI-PMH protocol We opted to employ the Tracker It s just easier!
IRUS-UK: Tracker OpenURL strings The OpenURL key/value pairs url_ver=z39.88-2004 url_tim=2012-07-05t22%3a59%3a59z req_id=urn%3aip%3a86.15.47.114 req_dat=mozilla%2f5.0+(iphone%3b+u%3b+cpu+iphone+o S+5_1_1+like+Mac+OS+X%3B+enus)+AppleWebKit%2F534.46.0+(KHTML%2C+like+Gecko)+Cri OS%2F19.0.1084.60+Mobile%2F9B208+Safari%2F7534.48.3 rft.artnum=oai%3aeprints.hud.ac.uk%3a8795 svc_format=application%2fpdf rfr_id=eprints.hud.ac.uk
IRUS-UK: deploying tracker code There are quite a few software platforms offering Institutional Repository functionality, these include: DSpace, Eprints, Fedora, intralibrary (Intrallect), Digital Commons (Bepress), PURE Portal and the list goes on Each of these platforms works differently under the hood meaning a single solution for deploying the tracker is not possible So, we ve focused, initially, on DSpace and Eprints, which account for about two-thirds of UK repositories Patches available for DSpace (1.8.x and 3.x) Plugins available for Eprints (3.3.x)
IRUS-UK: processing data Data gets stored in daily log files We usually process each log the following day We actually have a three step ingest process I won t go into intricate detail, but we Only process entries from recognised IRs Sort and filter the data following COUNTER rules to remove robot entries and double-clicks Use some additional IRUS-UK filters to exclude unusual usage/spikes, etc. Consolidate data for each item into daily statistics
IRUS-UK: ingest into the database Then we put those statistics into a Daily Statistics table in our database grab a bunch of metadata title, author(s), item type, etc. from the source IRs and put that in the database Map repository item types to a smaller IRUS-UK item type list We only have to do all this once Once a month, consolidate the Daily Statistics into a Monthly Statistics table The traditional COUNTER granularity So, as a service, we can easily work with statistics at either granularity Once the stats in the database we can slice and dice the data and expose it in many different ways (which I ll show you in a while)
IRUS-UK: community engagement Growing number of repositories sending data to IRUS-UK Currently 18 participants: Bournemouth, City, UEA. Greenwich, Huddersfield, Kent, LSE, Middlesex, NERC, Northumbria, Open, Reading, Salford, Sussex, Warwick (Eprints) Aberystwyth, Cranfield, RGU (DSpace) Others in the pipeline
IRUS-UK: COUNTER-compliant data Reliable, trustworthy, consistent COUNTER compliant usage statistics: Cuts out robots and double clicks Allows analysis of trends over time Introduces possibility of benchmarking with other IRs you are sure you are all counting the same things in the same way Data collected daily with no effort on your part
IRUS-UK: how it fits with other statistics Google Analytics good for geographical spread, where referrals are coming from IRStats (for Eprints users only) good for local use, drilling down to school or subject level IRUS-UK consistent download figures for all participating repositories
For benchmarking: IRUS-UK: OPEN data comparing usage with others in the same peer group, regional group etc Being able to see some usage data from other institutions within IRUS, and knowing that the same methodology has been used to arrive at these numbers, will be really valuable to us. For tracking authors or subjects in different IRs: The 'Search' is interesting in that shows downloads of the same author or subjects across repositories.
IRUS-UK: overall use of UK IRs Demonstrates scale of downloads across UK IRs: As at 31 March 2013: 2.4 million+ items downloaded since IRUS-UK started Can help with more consistent answers to SCONUL return Provides Jisc with evidence of extent of use
IRUS-UK: item types Item types used by repositories are mapped to a list of terms used by IRUS-UK What is an Article? Preprint, postprint, peer-reviewed, non-peer reviewed etc etc See Report on use of item types by UK institutional repositories by Anne Reed (Mimas) Available from http://www./news/irus_item_type_report_jan201 3_v2_0.pdf
IRUS-UK: DOIs Item Report 1 (IR1) number of successful item requests by month and repository identifier Consolidated Article Report (CAR1) number of successful article requests by DOI and repository identifier DOI summary stats show: Number of DOIs by item type Number of article DOIs by repository
IRUS-UK: a community resource How are usage statistics used in reports by repository managers? How can reports in IRUS-UK help? How can IRUS-UK statistics best be incorporated into IR s own pages? We always welcome your ideas and feedback! www. irus@mimas.ac.uk
IRUS-UK: Repository Totals
IRUS-UK: Item Types Totals
IRUS-UK: Item Type <->IR: Item Type
IRUS-UK: DOI Summary Stats
IRUS-UK: Title/Author Search
IRUS-UK: Ingest Summary Stats
IRUS-UK: IR1 Report LSE Jan-Feb 2013
IRUS-UK: CAR1 Report Jan-Feb 2013
If you are a UK repository: IRUS-UK: how to join Contact us at to register your interest Answer a few questions on the type of repository you have and the version you are running Get advice from us on what work will be involved depending on your repository type and version Implement any changes advised and then see your usage data instantly in IRUS-UK with no more work from you The set up was quick and painless, which is always a delight! Consistent collection of statistics without me having to do it!
IRUS-UK: our next webinar 22 May 14.00 aimed primarily at repository technical managers More details to follow
Contacts & Information If you are a UK repository wishing to participate in IRUS-UK, please contact irus@mimas.ac.uk For general enquiries, please contact support@repositorynet.ac.uk Project web site: http://www./ Thank you!