On-Demand Data is a reporting tool that will generate data files containing information
about specific populations of students. The output of ODD is always in the form of comma-separated value files which can easily be manipulated through Microsoft Excel, Access, or Word.
The definition of each population and the fields contained in a particular data set are stored in tables in the Student Data Repository. The data generated also comes from tables in the SDR.
The basic components of an ODD dataset:
Generally, new ODD datasets are created in response to someone filling out the Data Request Form. End users may then generate a data set from Campus Solutions by submitting by an On Demand Data Request. The process of defining a dataset and making it available to campus users is performed by Institutional Research staff. Many data sets have been already been defined, each returning a variety of data fields. A list of jobs that have been run recently can be seen here.
Most ODD data sets contain data that was accurate at the beginning of the day. With the exception of a few special circumstances, the data stored in the SDR and returned by ODD does not reflect changes that have been made to the data during the current day.
ODD keeps a history of all requests for data and the students selected for each dataset. Many ODD jobs can be submitted with a special "new only" parameter. Setting this field to N will return all
members of the dataset. If this value is set to Y, only students who were not members of previous results for this dataset will be included. This is an easy way to select students who now qualify as members of a population but didn't the last time the dataset was generated. (Example: admitted students.)
More information about ODD intended for gatekeepers and analysts can be found at ODD design and details.