How to create and link quality statements
How to Create and Link Quality Statements
A Data Quality Statement records any known issues that may be related to a data asset. A Data Quality Statement assesses data against seven key factors: Institutional Environment, Relevance, Timeliness, Accuracy, Coherence, Interpretability & Accessibility.
How to create a Quality Statement
When browsing or creating metadata within the Aristotle Metadata Registry, Quality Statements are included under “Performance Indicator Management Objects” section
2. Complete the Name and Definition fields in Step 1 Once done, select Next.
2. Complete the Name and Definition fields in Step 1 Once done, select Next.
3. In Step 2, you can refine the Definition and add additional content like References from the Names and References tab. You are also able to add a Workgroup that the item is going to belong to. If you do not select a Workgroup in this step, once the item is saved it will be available in your Sandbox.
3. In Step 2, you can refine the Definition and add additional content like References from the Names and References tab. You are also able to add a Workgroup that the item is going to belong to. If you do not select a Workgroup in this step, once the item is saved it will be available in your Sandbox.
4. Select the Components tab and complete each of the sections using the following table to answer the questions
Institutional Environment: Is the collection managed according to a data quality framework? (add a description of the framework where possible). What Data governance roles and responsibilities exist in the organisation? Are the data governance arrangements clearly assigned for this dataset or data source? (add a description of the Data governance arrangements where possible).
Timeliness: How often is the data collected or expected to be collected? What is the information around the timeframe of the data such as when did it become available, is it likely to be updated routinely? What is the reference period for the data?
Accessibility: What is the privacy or confidentiality issues that prevent the data from being released publicly? Can data that hasn't been published be requested? In which formats is the data available for people to use? Where and how do you access them?
Interpretability: Is a data dictionary available to explain the meaning of data elements? What is the context that this data needs to be considered within? Is there other information available to help users better understand this data source?
Relevance: What key data items are available? About whom, what, where and when was the data collected? How have rates and percentages been calculated, are the numerators and denominators for the same data source(s)? What was the original purpose for collecting the data? Have standard classifications been used? What are the classifications and if no standards have been used what are decisions for not using standard classifications?
Accuracy: How was the data collected? If any adjustments to the data have been made, what are they what items are affected. What is the collection and sample size? Identify any known issues with under counts or over counts and the management of these? How are processing errors handled? What parts of the population are excluded from the collection?
Coherence: If this is an ongoing collection, how consistent is the data over time? Can data from different States/Territories be compared? Is a time series available for this data? Have there been changes to the underlying data collection? How have world-wide events impacted on the data since the previous release? Is this data reported in other publications, what are these and how do they compare?
5. Don’t forget to click save changes on the item after creating the quality statement
How to Link Quality Statements
Go to the indicator that you would like to link a quality statement to
From the Actions bar, select Open Item Editor
In the Editor Screen select the Components tab.
Scroll down to the Quality Statement section
Definition tab: Complete the Name and Definition fields in the Definition tab.
You are also able to add a Workgroup to this metadata. If you do not select a Workgroup in this step, once the item is saved it will be available in your Sandbox
Names & References: These fields are optional. These field help to add more content to the item. You can add reference, origin and comments to the document.
Components tab: Component Tab has seven categories to be taken into consideration: Institutional Environment, Relevance, Timeliness, Accuracy, Coherence, Interpretability and Accessibility. These fields are optional but gives an extra context to this metadata. If you don't fill these out at time of creation, you can fill in at a later stage.
Quality Statement Section Name | Questions to answer for each section (Suggest the application of a rating from 1 (lowest) to 5 (highest) for each of the 7 sections which will result in a score out of 35) |
Institutional Environment | Is the collection managed according to a data quality framework? (add a description of the framework where possible). What Data governance roles and responsibilities exist in the organisation? Are the data governance arrangements clearly assigned for this dataset or data source? (add a description of the Data governance arrangements where possible). |
Timeliness | How often is the data collected or expected to be collected? What is the information around the timeframe of the data such as when did it become available, is it likely to be updated routinely? What is the reference period for the data? |
Accessibility | What is the privacy or confidentiality issues that prevent the data from being released publicly? Can data that hasn't been published be requested? In which formats is the data available for people to use? Where and how do you access them? |
Interpretability | Is a data dictionary available to explain the meaning of data elements? What is the context that this data needs to be considered within? Is there other information available to help users better understand this data source? |
Relevance | What key data items are available? About whom, what, where and when was the data collected? How have rates and percentages been calculated, are the numerators and denominators for the same data source(s)? What was the original purpose for collecting the data? Have standard classifications been used? What are the classifications and if no standards have been used what are decisions for not using standard classifications? |
Accuracy | How was the data collected? If any adjustments to the data have been made, what are they what items are affected. What is the collection and sample size? Identify any known issues with under counts or over counts and the management of these? How are processing errors handled? What parts of the population are excluded from the collection? |
Coherence | If this is an ongoing collection, how consistent is the data over time? Can data from different States/Territories be compared? Is a time series available for this data? Have there been changes to the underlying data collection? How have world-wide events impacted on the data since the previous release? Is this data reported in other publications, what are these and how do |
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