Five Standards
Data are current and available frequently enough to inform decision-making.
What is timeliness?
What is collection?
This tool uses the five data quality standards to guide a DQA.
This critical part of an indicator reference sheet precisely lays out what the indicator means.
What is a definition?
This part of the process of engaging an AI agent involves assigning a persona, setting constraints, and determining a format.
What is prompt engineering?
Results can be replicated by someone else.
What is reliability?
Use the right statistical tests to ensure data quality during this phase.
What is analysis?
This essential part of a DQA identifies areas for improvement in a data management system.
What are recommendations?
This part of the indicator reference sheet identifies potential problems and helps the team think through how to address them.
What are data limitations?
This stage of the data collection process is important for qualitative research, high quality survey research, or routine monitoring data where multiple people are collecting data.
What is data collection training?
Measurement is within the acceptable margin of error.
What is precision?
Make sure that you explain your data and what they mean during this data management phase.
What is reporting?
What is desk review?
This part of an indicator reference sheet identifies how often the indicator needs to be collated and analyzed.
What is reporting frequency?
This is a way to assess whether your survey questions will be understood in the same way by different people.
What is pre-testing/piloting?
Data are protected from manipulation.
What is integrity?
This time-consuming data management phase involves identifying and remedying anomalies that threaten data quality prior to analysis.
What is data cleaning?
This part of a DQA involves hands-on review of data collection processes and discussions with stakeholders.
What is field review?
This part of the indicator reference sheet helps preserve integrity and reliability through identifying where data come from.
What is data source or data collection method?
What is a data flow diagram?
Data measure what they are inteded to.
What is validity?
This stage of the data management process is often done automatically when data are collected electronically, but must still be checked to ensure the process has worked correctly.
What is collation?
You might develop an inception report during this DQA phase.
What is preparation?
This part of an indicator reference sheet helps ensure integrity and reliability by keeping a record of when any part of the indicator or its lifecycle changes.
What is the change log/date of last update?
This is a data quality standard not part of VIP-RT that assesses whether data can actually be collected and/or extracted from the data management system.
What is accessibility?