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    Seattle University
   
 
  Sep 23, 2017
 
 
    
Data Standards Manual

Data Standards Manual


The integrity and quality of data and evidence used to inform decision making is central to both the short-term and long-term health of Seattle University in terms of our ability to serve our students and achieve our mission. Maintaining and assuring the accuracy and consistency of data over its entire life cycle for data warehousing and reporting demand that the validity and correctness of data are ensured from hardware failures, software errors or human error. Data that has integrity is identically maintained during any operation, such as transfer, storage or retrieval.

Implementing checks on the data as close as possible to the source of input (such as human data entry), causes less erroneous data to enter the system. Strict enforcement of data integrity rules causes the error rates to be lower, resulting in time saved troubleshooting and tracing erroneous data. Seattle University employees will learn these practices and procedures within this manual. We are not only accountable to students, our primary constituents, but we are also accountable to faculty, staff, and multiple external agencies at the local, state, regional, and federal levels.

Reflecting the information presented above, the following policies are intended to enhance the reliability, validity, and usability of data at Seattle University through:

  • Colleague Navigation
  • Standardize data collection
  • Establishing a database that captures and retains all student, staff, and faculty information
  • Establishing methods for data collection that are timely, efficient and avoid duplication