Managing a Miasma of Statistics

Benjamin HeetUniversity of Notre Dame

http://www.binary-finary.com/wp-content/uploads/2010/01/Binary-Finary-1998-The-2010-Remixes.jpg

What stats should we collect?

How do we manage what we collect?

How do we use and interpret the data?

What are best practices going forward?

JR1 – Full Text Downloads

Impact factorEigenfactor

SFX

What should we collect?

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Can we make questionable numbers more meaningful by adding other questionable numbers?

http://www.buzzinn.net/img/fun/confused-animals-are-funny/confused-animals-are-funny15.jpg

What does it all mean?

HTML vs PDF

Outlier – Use Spikes

HTML vs PDF

OMG…Where did that come from????

Outlier / Use Spikes

Speedy Delivery? Not quite!

Keeping Busy

Download new stats each month for every provider

Merge new month onto prior report

Using Excel v-lookup function

Why are we doing this?

Building a better mousetrap

There must be a better way!

http://erm.library.nd.edu

Upload statstics as .txt files System parses, verifies and imports data Log files of all activity

Account logins stored in single location, easily accessible System does the work, takes significantly less time

Manage statistics, option to delete problematic months System automatically flags outlier data / use spikes

Separate reporting page Collection managers can run and obtain their own reports

Report output, option to export to excel

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Questions?

Find out more at http://erm.library.nd.edu

Benjamin Heet, heet.2@nd.edu