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Effective and Meaningful Statistics to Argue For Digital Services, Funds and Outcomes Sue Henczel Cathie Jilovsky. C A V A L. The Value of Statistics. Why do we count and measure? What can we count and measure? How can we count and measure? Who do we count and measure for?. C A V A L.
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Effective and Meaningful Statistics to Argue For Digital Services, Funds and OutcomesSue HenczelCathie Jilovsky C A V A L
The Value of Statistics • Why do we count and measure? • What can we count and measure? • How can we count and measure? • Who do we count and measure for? C A V A L
Why count and measure? • To plan • e.g. space, staffing, technology • To prioritise • e.g. collection development • To budget • To benchmark C A V A L
Transition from print to digital • Increasing digital content impacts on • space, technology, budget, staffing levels and staffing type • collection development and management • user expectations and behaviours C A V A L
Growth of Digital C A V A L
Impact on statistics collection • Incorporate remote usage • Identify those in library who are not using collections • Development of new measures • Include both print and digital • Mixture of data gathering processes C A V A L
Median Growth in Expenditures on E-resources http://www.arl.org/newsltr/235/snapshot.html C A V A L
Effective Statistics • Demonstrate value and relevance of a government library which is under threat of closing • Show that building an Information Commons will be good for the library • Justify the expenditure on print and electronic to achieve balance C A V A L
What to count and measure? • Physical things • Collections • Usage • User populations • Income and expenditur C A V A L
What - Physical things • Number of desks, PCs, printers, … • Linear meters of shelving • Staff hours, staff levels, staff numbers • Opening hours C A V A L
What - Collections • Print Collections • Volumes, titles, subscriptions … • Electronic Collections • Databases, titles, issues .. • Subscriptions • Digitised materials C A V A L
Percent of Expenditures on E-serials http://www.arl.org/newsltr/235/snapshot.html C A V A L
What - Usage • Loans / in-house use • Inter-library loans and document delivery • Website hits • Database usage • Reference enquiries • User education sessions … C A V A L
What - User Population • Potential users (total population) • Actual users • In-house users • Virtual users • Non-users C A V A L
What - Income and Expenditure Income Expenditure • Facilities (building, power … ) • Staffing • Materials / collections • Equipment (incl. networks) C A V A L
How - Physical • Manual • Person counting / measuring • Incremental • Automated • ILMS • Asset registers • Turnstile counters C A V A L
How - Collections • Mostly automated – ILMS, accession listings • Print – MARC records (per title) • Electronic – MARC record (per title, per collection, per part of title) C A V A L
Median Expenditures on E-serials http://www.arl.org/newsltr/235/snapshot.html C A V A L
CAUL Statistics – Deemed List C A V A L
How - Usage • Loans – ILMS - automatic • In-library usage – manual • ILLs – auto system (maybe!) • Website hits – automatic • Database usage – automatic C A V A L
How – User Population • Potential Users – institution / funding body/ census data • Actual Users – ILMS • Surveys • Website/Database hits C A V A L
How – Income & Expenditure • Library expenditure – library accounts system, ILMS, institutional accounts system • Library income – library accounts system, ILMS, institutional accounts system C A V A L
Issues • Transition from print to digital – creation of hybrid environments • Standardization and consistency • Non-persistence of digital • Pressures on libraries • From owners/funders • From users C A V A L
CAVAL’s Online Statistics Prototype http://fisher.lib.virginia.edu/test/caul/ C A V A L
CAVAL Collaborative Solutions http://www.caval.edu.au sueh@caval.edu.au cathiej@caval.edu.au C A V A L