All 快色视频 data should adhere to the adopted Data Management Life Cycle.
Data Producers and Consumers are expected to follow appropriate procedures when inputting and consuming system data. There is also an expectation that system data will be current, and any discovered inconsistencies or errors will be resolved in a timely manner to facilitate high data fidelity. Data Stewards, in conjunction with Data Specialists, should work to verify and vet outputs for quality, consistency, and integrity. When disposing of University data, the existing University policies on records management should be followed.
1. Define and Contextualize
Data should be certified and classified using the Data Certification and Data Classification levels contained in the University’s Data Governance Policy.
2. Create, Clean, and Format
Data reports may be created across a variety of systems but should adhere to the same general practice throughout development. Data Specialists will work in conjunction with Data Owners and Data Stewards to create data reports. Data checks will occur between Data Specialists and Data Owners and Data Stewards. Data Specialists will also include Data Consumers during the formatting process.
3. Distribute or Automate
Data outputs (reports, files, etc.) should be scheduled or distributed via the appropriate platform utilizing the correct security controls in place.
4. Archive Inactive
When archiving or inactivating data, the existing University policies on records management should be followed.
5. Dispose
When disposing of University data, the existing University policies on records management should be followed.
Data and reporting platforms will adhere to a system of certification and classification that informs users as to the supplied data’s requisite status concerning the fidelity of the data being supplied and the determined limits upon uses and capacity for distribution.