Data Completeness refers to the degree to which all required data is known, valid and documented in HMIS. A data element is considered to have a valid response when it is in accordance with the HUD Data Standards, and it is different than Client Doesn’t Know, Client Refused, and Data Not Collected. No Exit Interview Completed is also not considered a valid response for the Destination field.
The links below show the annual Data Quality for each project type:
Emergency Shelter 2020, 2021
Rapid Rehousing 2020, 2021
Permanent Housing 2020, 2021
Street Outreach 2020, 2021
Transitional Housing 2020, 2021
Data accuracy refers to the degree to which data entered in HMIS represents the real information on the clients that are served in the projects contributing data to the system. Data Accuracy issues include responses that are not valid for each data element according to the HUD Data Standards, as well as responses that present data incongruences.
Data Timeliness refers to the degree to which the data is collected in HMIS and available when it is needed. The Data Timeliness tab of the DQ Dashboard shows the average number of days taken to enter Project Starts, Project Exits, and Service Provided into HMIS for each project.
Data Completeness refers to the degree to which the data is collected in HMIS is all of the data required. HUD has Universal Data Elements (UDE) that are required for each project in HMIS. Partially complete or missing data (e.g., missing digit(s) in a SSN, missing the year of birth, missing information on disability or veteran status) can negatively affect the ability to provide comprehensive care to clients. Missing data could mean the client does not receive needed services – services that could help them become permanently housed and end their episode of homelessness.
For the list of HUD Universal Data Elements click here.
For specifics about data quality standards in San Luis Obispo County please see the San Luis Obispo Data Quality plan (updated 2020)