HMIS DATA QUALITY

Question 1

The overall utility of a dataset(s) as a function of its ability to be processed easily and analyzed for a database, data warehouse, or data analytics system

Answer 1

DATA QUALITY

Question 2

Perception of the data’s
appropriateness to serve its
purpose in a given context

Answer 2

data quality

Question 3

aspects of data quality

Answer 3

accuracy
accessibility
appropriate presentation
completeness
consistency
relevance
reliability 
update status

Question 4

LQAS means

Answer 4

LOT QUALITY ASSESSMENT SAMPLING

Question 5

Tool that allows the use of small
random samples to distinguish
between different groups of data
elements with high and
low data quality

Answer 5

LOT QUALITY ASSESSMENT SAMPLING

Question 6

RDQA means

Answer 6

ROUTINE DATA QUALITY ASSESSMENT

Question 7

Simplified version of the Data
Quality Audit (DQA) which
allows programs and
projects to verify and
assess the quality of their
reported data

Answer 7

ROUTINE DATA QUALITY ASSESSMENT

RDQA

Question 8

RDQA OBJECTIVES

Answer 8

1. verify rapidly
2. implement
3. monitor

Question 9

the quality of reported data for key indicators at selected sites and the ability of data-management systems to collect, manage, and report quality data

Answer 9

verify rapidly

Question 10

corrective measures with action plans (one of RDQA Objectives)

Answer 10

implement

Question 11

capacity improvements and performance of the data management and reporting system to produce quality data (under RDQA objectives)

Answer 11

monitor

Question 12

A project
management tool
that shows how a
project will evolve at
a high level

Answer 12

IMPLEMENTATION PLAN

Question 13

Helps ensure that a
development team is
working to deliver
and complete tasks
on time

Answer 13

IMPLEMENTATION PLAN

Question 14

IMPLEMENTATION PLAN KEY

CONCEPTS

Answer 14

(1) Define Goals/Objectives
(2) Schedule Milestones
(3) Allocate Resources
(4) Designate Team Member Responsibilities
(5) Define Metrics for Success

Question 15

Answers the question

“What do you want to accomplish?”

Answer 15

Define Goals/Objectives:

Question 16

Outline the high level

schedule in the implementation phase.

Answer 16

• Schedule Milestones:

Question 17

Determine whether you
have sufficient resources, and decide how you will
procure what’s missing.

Answer 17

Allocate Resources

Question 18

Create a general team plan with the overall roles that each team member will play.

Answer 18

Designate Team Member Responsibilities

Question 19

How will you determine if you have achieved your goal?

Answer 19

Define Metrics for Success:

Question 20

ANALYZES INFORMATION AND
IDENTIFIES INCOMPLETE OR
INCORRECT DATA

Answer 20

DATA QUALITY TOOL

Question 21

refers to the decomposition of fields into component parts and formatting the values into consistent layouts based on industry standards and patterns and user-defined business rule

Answer 21

Parsing and Standardization

Question 22

• Modification of data values to meet domain restrictions

- Constraints on the integrity of other rules that define data quality as sufficient for the organization

Answer 22

generalized “cleansing”

Question 23

This is the identification and merging related entries within or across data sets

Answer 23

matching

Question 24

Refers to the analysis of data to capture statistics or metadata to determines the quality of the data and identify data quality issues

Answer 24

profiling

Question 25

The deployment of controls to ensure conformity of data to business rules by the organization

Answer 25

monitoring

Question 26

Enhancing the value of the data by using related attributes from external sources such as consumer demographic attributes of geographic descriptors

Answer 26

enrichment

Question 27

Focus on Data Quality
Management (DQM), which
generally integrate profiling,
parsing, standardization, cleansing
and matching processes

Answer 27

APPLICATION / SCOPE OF DATA QUALITY TOOLS

Question 28

A class of problem solving
methods aimed at identifying
the root causes of the
problems or events instead of
simply addressing the obvious
symptoms

Answer 28

ROOT CAUSE ANALYSIS

Question 29

Useful for getting to the underlying causes of a

problem

Answer 29

5 WHYS ANALYSIS (ASK WHY 5 TIMES)

Question 30

• By identifying the problem, and then asking “why”
five times - getting progressively deeper into the
problem, the root cause can be strategically
identified and tackled

Answer 30

5 WHYS ANALYSIS (ASK WHY 5 TIMES)

Question 31

Aimed to find various modes for failure within a system. It requires several steps for execution:

1. All failure modes (the way in which an observed failure occurs) must be determined.
2. How many times does a cause of failure occur?
3. What actions are implemented to prevent this cause from occurring again?
4. Are the actions effective and efficient?

Answer 31

FAILURE MODE AND EFFECTS ANALYSIS

FMEA

Question 32

Operates using the Pareto principle (20% of the

work creates 80% of the results)

Answer 32

PARETO ANALYSIS

Question 33

Utilized when there are multiple potential causes to a problem

Answer 33

pareto analysis

Question 34

Uses boolean logic to determine the root causes of an undesirable event.

Answer 34

FAULT TREE ANALYSIS

Question 35

This technique is usually used in risk analysis and safety analysis.

Answer 35

FAULT TREE ANALYSIS

Question 36

Used when many problems exist and you want to get to the root causes of all the problems

Answer 36

CURRENT REALITY TREE

CRT

Question 37

Analyzes a system at once

Answer 37

CRT

Question 38

will group causes into categories including:
▪ People
▪ Measurements
▪ Methods
▪ Materials
▪ Environment
▪ Machines

Answer 38

FISHBONE OR ISHIKAWA OR CAUSE-AND-EFFECT DIAGRAMS

Question 39

KEPNER-TREGOE TECHNIQUE

Answer 39

Also known as rational process is intended to break a problem down to its root cause

Question 40

deals with diagnosing the

causes of recurrent problems

Answer 40

RPR PROBLEM DIAGNOSIS

Question 41

Information culture affects the information use outcomes

Answer 41

SUSTAINING CULTURE OF INFORMATION USE

Question 42

3 Phases:
• Discover - team members gather data and analyze their findings
• Investigate - a diagnostic plan is created and the root cause is identified
through careful analysis of the diagnostic data
• Fix - the problem is fixed and monitored to ensure that the proper root cause
was identified.

Answer 42

RPR PROBLEM DIAGNOSIS