1. Tansy Matthews Electronic Resources & Libraries 2010 Austin, TX January 31, 2010

2.  Background information  Storing use data  Processing use data for storage XML CSV/Excel  Presenting use over time

3.  Virtual Library of Virginia is the consortium of the nonprofit academic libraries within the Commonwealth of Virginia. (www.vivalib.org)www.vivalib.org  VIVA's mission is to provide, in an equitable, cooperative and cost-effective manner, enhanced access to library and information resources for the Commonwealth of Virginia's nonprofit academic libraries serving the higher education community.

4.  Comprises 39 state-assisted colleges and universities (at 55 campuses) 6 doctoral institutions and 9 4-year comprehensive colleges and universities 24 community and 2-year branch colleges (40 campuses)  33 of Virginia's independent (private, not- for profit) colleges and universities  Other educational and research institutions

5.  Challenge: Develop an efficient means of processing use data that would: Continue providing monthly use data updates for our members, on an institutional and product level Facilitate long term storage of data Permit the display of data to track trends and to demonstrate the consortium’s contribution to higher education in Virginia

6.  Keys to manipulation AND storage Consistent formatting Columnar data Concatenate

7. What do you mean by columnar data?

8.  Challenge revised: Develop an efficient means of processing use data that would: Combine all of our disparate data reports into consistently formatted, columnar data.

9.  Project COUNTER helped by creating a standard format for use data reporting.  http://www.projectcounter.org/ http://www.projectcounter.org/

10.  Receive data as CSV, Excel, or XML files  Import into Excel XML  direct import and formatting CSV/Excel  combine files using SobolSoft’s Import Multiple Text Files tool ($29.99)Import Multiple Text Files  Develop macros to reformat  Store in an Access database

12.  Background information  Storing use data  Processing use data for storage XML CSV/Excel  Presenting use over time

14.  Access/MySQL Space Flexibility  Easy import/export

15.  Background information  Storing use data  Processing use data for storage XML CSV/Excel  Presenting use over time

16.  Extensible Markup Language similar to HTML  XML data tags label the structure (not the appearance) of the document  Human-readable markup language  XML documents must be translated by a separate program or application (e.g. Excel) - otherwise, they’ll appear as marked up text.

17. HTML Hey! That’s me!

18. Am not! XML

19. XML Much better.

20. XML Taught him everything he knows.

21.  Example file: http://www.vivalib.org/xml_sample.txt http://www.vivalib.org/xml_sample.txt

22.  XML facilitates the importation of data into Excel.  Allows the user to determine where the data “lands” when it’s imported – imperative for maintaining a consistent data format over time.  One step import/formatting.

23.  Open Excel  Create a new workbook  Select Developer>XML>Import  Example: Download http://www.vivalib.org/sjp_07.xmlhttp://www.vivalib.org/sjp_07.xml Import into Excel

24.  Select data to be imported  Assign data positions (map elements)  Change field names

25.  Data>XML>XML Map Properties  For example: Overwrite (http://www.vivalib.org/sjp_07_march.xml)http://www.vivalib.org/sjp_07_march.xml Append (http://www.vivalib.org/dup_07.xml)http://www.vivalib.org/dup_07.xml

26.  For COUNTER compliant data: Compile COUNTER reports into a single Excel workbook (SobolSoft tool) COUNTER processing macros to format: http://www.vivalib.org/stats_training/counter_processing.xlsm http://www.vivalib.org/stats_training/counter_processing.xlsm

30.  Open counter_processing.xlsmcounter_processing.xlsm  Open http://www.vivalib.org/jr1_compiled.xlsx http://www.vivalib.org/jr1_compiled.xlsx  Select Developer>Macros  Select compile_counter_journal_reports  Click Run

31.  Select month.  Paste month in first empty column.

32.  Consistent format allows data to be easily concatenated.  Charts can be generated directly from PivotTables.  Example: http://www.vivalib.org/extended_report_example.xls http://www.vivalib.org/extended_report_example.xls

33.  Background information  Storing use data  Processing use data for storage XML CSV/Excel  Presenting use over time

34.  Excel  Data>PivotTable and PivotChart Report  Choose source of data & data range Select a static range Import  Place data headings  Example file: http://www.vivalib.org/journals_example_sourcedata.xls http://www.vivalib.org/journals_example_sourcedata.xls

35.  Click on your PivotTable  Go to PivotTable Tools>PivotChart  Create your chart.  To “detach” your chart from the PivotTable, delete the PivotTable

36.  Some resources: lib-stats listserv: "Lib-Stats hosts information useful for the analysis of usage statistics in academic (and other) libraries. Current issues are debated on the lib-stats mailing list." To sign up for the mailing list, send an email to lib-stats-request@ncl.ac.uk. lib-stats listservlib-statslib-stats-request@ncl.ac.uk microsoft.public.excel: From Google groups. A general discussion group for Excel users. More specialized groups are also listed in Google groups. A good source for VBA macros. microsoft.public.excel OzGrid Forum: A good source for Excel tips and VBA macros. OzGrid Forum

37.  http://www.vivalib.org/stats_training/stats_resources.html http://www.vivalib.org/stats_training/stats_resources.html Stats resources Example files  Also potentially useful: PivotTable tutorial http://www.vivalib.org/pivot_table_examples/pivot_table_tutorial.html

38. www.vivalib.org tmatthe6@gmu.edu