PATH Data Advisory Committee Workgroup Report
Overview: The PATH Data Advisory Committee (DAC) was established at the 2008 meeting of State PATH Contacts (SPC). The mission of the PATH Data Advisory Committee is to provide guidance for questions, format, consumer confidentiality, and implementation of the PATH report. The DAC is tasked with developing recommendations for data elements to include in the new PATH report and aligning the recommendations with Homeless Management Information Systems (HMIS). The group is composed of volunteer members with varying experience and represents diverse states. DAC teleconferences are held on the third Thursday of each month at 2:30pm Eastern Standard Time. Over FY 2009-2010, there were 15 members representing 13 states: Alabama, Arizona, Illinois, Maine, Michigan, Minnesota, Montana, New Hampshire, North Carolina, Utah, Vermont, Virginia, and Washington. Members include several PATH Administrative Workgroup members and a liaison from the PATH Consumer Provider Network.
Leadership: New Hampshire State PATH Contact, Bernie Bluhm, chairs the DAC. PATH program Director, Mattie Curry Cheek advises the group. PATH Technical Assistance Center Deputy Director, Rachael Kenney, Analyst, Melissa Martin, and Data Specialist, James McNemar, staff DAC meetings.
Activities: The primary charge of the DAC in FY 2009-2010 was to inform the transition to the Homeless Management Information Systems (HMIS) for PATH data reporting. The DAC provided input on forthcoming technical assistance to the PATH community for HMIS implementation. Additionally, the DAC:
Next Steps: In the coming months, the DAC will:
- Reviewed assessments of SPC and PATH provider experience with HMIS;
- Provided feedback on an HMIS 101 webcast;
- Recommended changes to the PATH Annual Report and solicited feedback at the 2010 PATH Grantee Meeting; and
- Provided input on the 2009 data cleaning process.
- Complete recommendations for the new PATH Annual Report;
- Provide guidance on the transition to HMIS; and
- Inform the 2010 data cleaning process.