ould be considered in constructing the data collection for that application: Accountability Who is responsible for coordinating the ongoing data collection process? Who is responsible for monitoring the quality of data collection? Are the appropriate people involved in the design of the data collection methodology? Is the use of the data clear? Who will maintain the data ownership record? How will owners participate in the collection process? Who will maintain the written data collection process/procedures? Are there other potential applications for this data in related or future areas? How much time will it take to collect the data? What impact will data collection have on staffing requirements? Data Definition What data is required for the application? Who owns each data element? Is the data currently collected for another application? Is the data collected at the appropriate level of detail or granularity? How are definitions for each element determined? What process will be used to modify definitions? Who will maintain the data dictionary? How will data dictionary changes be communicated? Are the data elements uniquely defined? Is the source of each data element clear? Are there existing standards for the data elements and their definitions? What edits are appropriate for each data element? Are there restrictions on using existing data for this application (i.e., availability, time, specificity, reliability, definition)? Who has access to the source of this data? How reliable is the data source? Process Design/ Standardizing Collection Have the data collected been tested to assure that it will meet the application requirements? How can collection of this data be incorporated into existing workflows? Is the data collection logically sequenced? How available are the data at the point of collection? Does a secondary process need to be put in place to ensure collection of the data at a later point? What training is required for those co...
