2.4.6         Measurement in Related Contexts, Joan Lippincott and Jose H. Canos Cerda

 

Another important type of post-processing is the extraction of statistical information from metadata sets. For administrative purposes, institutions may be interested in the number of ETDs supervised by each professor, the keywords most used, the month(s) in which more ETDs are submitted, etc. Usually, relevant metadata are extracted from the ETD database and processed using specialized tools like Microsoft Excel. The access to the database can be done using either ODBC drivers or specialized middleware utilities.

 

For a broad view of counting information, two projects are widely regarded as providing interesting models and data.

                                    

 

Some programs that provide guidance or models for collecting institutional data in higher education are also available.  These projects can provide definitions for data, survey questions, and descriptions of data collection that can be adapted for one’s own institution.