Amy Fry, Electronic Resources Coordinator, Bowling Green State Universityimages by Ken Fager, http://www.flickr.com/photos/kenfagerdotcom/

ALAO 2012 Annual Conference, 4 November 2012

Streamlining Stats:Creating an Efficient Workflow for Gathering, Reporting

and Interpreting E-Resources Usage Statistics

What do I get? How do I get it?

I need it now! How do I put it all together?

The Database* Statistics Dilemma

*and

e-jo

urna

l

• Data control• Organization of work• Distribution of labor

We got a handle on this, and so can you!

• COUNTER: a NISO* standard for collecting and reporting database (DB), e-journal (JR) and e-book (EB) usage. Counts searches, sessions, and full-text downloads.

• SUSHI: a NISO standard for automatic retrieval of COUNTER-compliant data.

• ERMs: Electronic Resource Management systems.

A quick note on definitions.

*NISO: National Information Standards Organization

Look familiar?

Just a little manual labor…

Data control Organization of work Distribution of labor

Everything in its (one and only) place, all linked together.

Stats are integrated into the resource’s lifecycle.

There are jobs for librarians, staff and students.

Our new philosophy.

Data controlONE place for logins and passwords:

our ERM.

Data controlONE place for instructions:

our wiki.

Anyone can access it!http://dbusestats.bgsu.wikispaces.net

Data controlONE place for the stats files:

our R drive.

Organization of workStats are integrated into the lifecycle of each

resource.

• Don’t manipulate spreadsheets – leave them as is.

• Only get stats once a year.

Organization of workSimpler work is easier to do.

Distribution of labor

Librarian jobs:• Manage logins and passwords• Manage reporting• Manage the SUSHI table in the ERM• Manage stats through each resource’s lifecycle

Staff jobs:• Write downloading instructions• Make changes as needed in the wiki (adding, removing, and

changing resources)• Convert files XML; upload XML files into the ERM

Student jobs:• Collect and save stats according to wiki instructions

Other jobs:• Serials, Acquisitions & IT staff work with order records,

do coverage load, and more.

Everyone gets to help!

ReportingOur medium

– For databases: spreadsheets, for now– For e-journals: our ERM

Our philosophy– Focus on meaningful counts

with cross-platform applicability

– Try to paint a picture over time– Accuracy isn’t everything

Database usage reporting:Meaningful counts

Database usage reporting:Use over time

EBC Scholarly/Reference: Springer27%

Web of Science 25%

SPORTDiscus with full text11%

MathSciNet7%

SciFinder Scholar6%

CINAHL plus with full text5%

Health Source: Consumer Edition

3%

Health source: nursing/academic edi-

tion3%

Environment complete3%

MEDLINE with full text3%

Alt-HealthWatch2%

Biological Abstracts2%

Agricola1%

GeoRef 1%

Computers & applied sciences complete1%

GreenFILE1%

Science Database Use

Science database use at BGSU, fall 2010

1 2 3 -

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

45,000 EBC Scholarly/Reference: SpringerWeb of Science SPORTDiscus with full textMathSciNetSciFinder ScholarCINAHL plus with full textHealth Source: Consumer Edition Health source: nursing/academic editionEnvironment completeMEDLINE with full textAlt-HealthWatchBiological AbstractsAgricolaGeoRef Computers & applied sciences completeGreenFILEPhysical education indexCompendexGarden, landscape & horticulture index BeilsteinInspec Lexi-PALS drug guideMedicLatinaBiosis Previews (WoS)OregonPDF DMC Sanborn Digital MapsScience OnlineBiosis Citation IndexCurrent index to statistics, applications, methods and theoryCompendex Historical 1884-1968Derwent Innovations IndexInspec ArchiveDMC Encyclopedia of Physics DemonstrationsDMC Geology Digital PhotosDMC Science Digital MediaDMC Reproductive Physiology AnimationsDMC Ohio Ag. Exper. Sta. Forestry Image Coll.DMC Borror Lab, Digital Animal SoundsDMC Dolphin Embryo Digitized SlidesDMC LANDSAT 7 Satellite ImagesDMC Scripps Papers

Science database use at BGSU, fall 2010

Database usage reporting:Using estimates

The “EBSCO Bump”

Scholarly Stats– Basic stats collection service, pay per platform– Basic collated reports

SwetsWise Selection Support– Stats collection service (pay per

platform)– Options to upload data manually

360 Counter (Serials Solutions)– Unlimited platforms with annual

subscription– Options to upload data manually

Feel like outsourcing?

Scholarly Stats

SwetsWise Selection Support

To learn more, watch this informative tutorial:http://bit.ly/swetstutorial

(requires a SwetsWise login; contact the company if you are not a current customer)

360 Counter

They have a demo site! Ask your rep for a login.

Drawbacks to outsourcing• Possible time lag for data availability• Retrieval is limited to COUNTER compliant

sources• Not tied in to your order records

• You have to pay for it

ALSO:You’re never, ever going to get out of collecting data altogether unless you decide to stop looking at your stats.

You can use a free ERM

• ERMes (University of Wisconsin-La Crosse)– Incorporates DB1 reports

• CORAL (Notre Dame)– Incorporates JR1 reports

• E-Matrix (NCSU)– Incorporates JR1 reports

• CUFTS (Simon Fraser)– Incorporates JR1 reports;

uses SUSHI

• http://murphylibrary.uwlax.edu/erm/• Runs on Microsoft Access• Robust user community• Allows you to upload COUNTER DB1 statistics

(by linking a modified Excel spreadsheet to the Access database), input cost, and create fiscal year reports

ERMes

See page 19 of this pdf for more info on how ERMes handles use stats: http://bit.ly/ERMesManual .

CORAL• http://erm.library.nd.edu • Built with PHP 5 and MySQL• Can use the statistics module and add-on reporting

module independently of the other modules• Allows you to upload JR1 reports• No incorporation of cost data; only calendar year

reporting

See this pdf for more about the CORAL Usage Statistics module: http://bit.ly/CORALManual .

E-Matrix• http://lib.ncsu.edu/e-matrix/ • Built with

PostGreSQL• Allows you to

upload COUNTER JR1 reports (requires some report modification)

• Displays statistics within records

CUFTS

See pages 53 & 113 of this pdf for more info on how CUFTS handles use stats: http://researcher.sfu.ca/files/cuftsAdminGuide.pdf

• http://researcher.sfu.ca/cufts/erm • Built with PostGreSQL• Allows you to pull in

COUNTER JR1 reports with SUSHI

• Displays statistics and cost per use within records

What you need to do now

• You need an ERM (you really do!).• Use the BGSU stats wikis, and contribute your

own information.• Stop getting stats monthly.• If you’re going to outsource,

do it wisely.

What we’re going to do next

• Force our EJC statistics into COUNTER format so we can upload them to our ERM, too

• Explore other reporting options for databases

…or electronic data!

Amy Fryafry@bgsu.edu

www.slideshare.net/amyfry2000