LIR Seminar: “Deciphering Data: Informing Decision-making, Transforming User Experience” December 5th
If you have an interest in library metrics, resource usage, and evidence-based library management, then this day-long seminar is for you. We will hear about with consortial deals, decoding data, counting with COUNTER and other analytical tools.
The seminar is free to all paid-up LIR members. For attendees from non-LIR member organisations, the attendance fee is €100. Submit a purchase order number at time of registration and your institution will be invoiced for the fee.
Registration is now closed. Contact Committee Members if you have any questions ahead of the seminar.
What’s the Big Deal? Counting what counts
University Librarian, Maynooth University and Irish University Libraries Collaboration Centre (IULCC) Director
JISC Library Analytics Services
Jisc Service Manager
COUNTER – new possibilities with release 5
The Swedish University of Agricultural Sciences, Executive Committee Member; COUNTER.
Programme (Linked to PowerPoint Presentations)
|09:30||Registration & tea/coffee|
|10:00||What’s the Big Deal? Counting what counts||Cathal McCauley|
|10:45||COUNTER – new possibilities with release 5||Daniel Albertsson|
Dr Aidan Mooney
|12:15||Decoding the Data Maze||Rose Buttimer|
|13:40||JISC Library Analytics Services||Jo Lambert|
|14:10||Using data to fill an ‘ARC’||Cora Gleeson|
|14:25||Modelling Shelf Space from Catalogue Metadata||Joe Nankivell|
|14:40||Inside the work of the IReL Monitoring Group||Rose Buttimer, Aaron Binchy|
|14:55||Data-informed collections management and GreenGlass in UCD Library||Catherine Ryan|
|15:20||Seminar close followied by AGM|
The map below gives a broad perspective of where Grangegorman is located in Dublin. For those who want to know how to get to this free conference, there is a detailed description of how to get to Grangegorman on the DIT website.
St Laurence's Chapel
Expressions of Interest:
Expressions of interest and proposals for short presentations (20 minutes) should be forwarded to LIRCTTE@LISTSERV.HEANET.IE by Friday 28th September. Proposals for presentations should be limited to 200 words.
About the Venue, St. Laurence’s Chapel
This Gothic Revival chapel was built in 1850, on the site west of Grangegorman Lower along with two matching infirmaries on either side as part of the Richmond Lunatic Asylum. It served both Roman Catholic and Church of Ireland patients in the hospital, until a dedicated Church of Ireland chapel was constructed later.
Today, the Chapel serves as a multi-purpose space that is used for exhibitions, rehearsals, workshops, speakers, receptions, meditation as well as religious service.
What’s the Big Deal? Counting what Counts - Cathal McCauley
COUNTER – new possibilities with release 5 - Daniel Albertsson
NetSearch - Dr Aidan Mooney
Aidan Mooney completed his PhD in the Computer Science department of Maynooth University in 2005. The PhD was entitled “The Generation and Detection of Chaos Based Watermarks”. In 2006 he became a lecturer in the department.
He is the first year coordinator and departmental nominee on the Science Faculty Teaching and Learning committee. He has taught undergraduate and postgraduate courses within the department. He is the MAP academic adviser for the department.
His research interests lie in the areas of Computer Science Education, Eye-tracking, Access learning and Image Processing.
Decoding the Data Maze - Rose Buttimer
JISC Library Analytics Services - Jo Lambert
Using data to fill an ‘ARC’ - Cora Gleeson
This paper will assess the role of data in in three recent collection management projects in the Glucksman Library, University of Limerick. The importance of data in enabling key decisions and ensuring that future collection management decisions are evidence-based will be examined. Particular attention will be paid to the extraction of data from the library’s LMS and the creation of a dataset in support of the Print Book Collection Review Project from 2015 to 2016. The paper will analyse the data used in the project and how this data has been repurposed for use in other projects including the ARC (Automated Reserve Collection) Project and the Library Re-Sequencing Project.