Q:
I
have heard a great deal about the IDIS HOME data clean-up effort,
why is this endeavor such a priority for HUD?
What is quality data and how can I assist HUD in its effort to improve
the reliability of HOME program information in IDIS?
A:
After an internal review of IDIS data revealed numerous redundant,
missing and erroneous entries, the Office of Affordable Housing
Programs launched a major initiative to improve the quality of HOME
program data. HUD requires reliable IDIS information for many purposes,
including reporting to Congress, monitoring financial information,
tracking program performance, and identifying grantee and program
needs. In essence, IDIS data drives the Departments programmatic
decision-making process; decisions that directly affect each HOME
PJ.
Initiated
in July 1999, the IDIS HOME data clean-up effort has enlisted the
assistance of Headquarters and Field Office staff, as well as each
of the 542 HOME Participating Jurisdictions. Unfortunately, only
328 PJs have completed this vital clean-up effort as of April 21,
2000. HUDs Office of Affordable Housing Programs is still
requesting the assistance of the remaining 214 PJs. The reliability
of the HOME IDIS data hinges on these 214 PJs reviewing, updating,
and correcting their HOME program information.
Ensuring
data quality in IDIS, or in any data collection effort for that
matter, is necessary for accurate analysis and evaluation. Just
think of all the relatively mundane daily activities that rely on
accurate data - zip codes, grocery store price scanners, email addresses,
bank ATM pin numbers, and telephone numbers. If even one digit is
entered incorrectly, your mail is sent to the wrong town, you are
charged thirty cents more for a loaf of bread, your urgent email
never reaches its intended recipient, you cannot access your bank
account, and the telemarketer cannot reach you with that important
credit card offer of 3.5% APR . (Oops make that 4.5% APR, the number
was entered incorrectly.) You get the picture. Accurate data plays
a major role in our daily living. IDIS is no different.
You
can help the Office of Affordable Housing Programs ensure data quality
in IDIS by carefully entering your HOME program information. Simple
key stroke errors are one of the top causes of poor data quality
in IDIS. A multifamily building that will house 10 families can
easily become a 100 unit building with a quick and unknowing slip
of the finger or sticky key pad. A little vigilance during data
entry can save a great deal of time and effort at a later date.
Other
common mistakes include duplicate HOME activities and incomplete
completion path information. Currently, HOME units are erroneously
high due to double counting -- a direct result of duplicate HOME
activities being entered into the system. All duplicate HOME activities
must be deleted. In the completion path, occupancy data are often
obsolete. There are a significant number of HOME assisted rental
units with occupancy information reported as "vacant."
All occupancy information should be updated once a unit is leased.
In addition, HUD has discovered more than 1,000 activities with
completion information, yet no project funds have been drawn. PJs
are entering completion information prior to project conclusion.
Many of these projects are subsequently canceled, yet the inaccurate
data remains. PJs should only enter completion path data once the
activity is complete.
The
above examples are just a few of the many data errors that can occur
in IDIS. Other errors- such as IDIS failure to accept decimal
points in the completion path resulting in dollar figures one hundred
times what they should be - are system-related flaws that HUD is
currently addressing. These system improvements, in conjunction
with careful data entry and review, can assist HUD and the Office
of Affordable Housing Programs in making IDIS a reliable database
for the HOME program.
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