Category Prepare
Capabilities relating to the Prepare category of the Data Capabilities Framework
1. Value organisational data as assets
Understanding the value and use of data and treating organisational data accordingly. This includes drawing insights from data for evidence-based decisions and recommendations.
Advanced |
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Intermediate |
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Foundation |
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Associated Categories |
2. Data communication
Effectively communicating with data or about data with a range of audiences.
Advanced |
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Intermediate |
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Foundation |
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Associated Categories |
3. Improvement and innovation - Data processes/systems and tools/products
Identifying and implementing change to create efficiencies and new opportunities by making existing processes, systems, tools and products better and/or creating new ones.
Advanced |
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Intermediate |
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Foundation |
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Associated Categories |
9. Subject matter expertise
Applying knowledge and expertise in a specific subject, area, or program.
Advanced |
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Intermediate |
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Foundation |
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Associated Categories |
13. Data integrity and quality assurance
Applying measures and practices to ensure that data is fit for purpose. Includes data validation as well as ensuring data is not unintentionally changed along its lifecycle.
Advanced |
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Intermediate |
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Foundation |
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Associated Categories |
14. Statistical concepts and methodologies
Understanding and/or applying the methods and terms relating to statistical techniques.
Advanced |
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Intermediate |
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Foundation |
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Associated Categories |
15. Data and information management
Gathering data and then analysing, categorising, contextualising, and maintaining it (and in some cases, destroying) as an organisational resource.
Advanced |
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Intermediate |
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Foundation |
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Associated Categories |
16. Data classification
Grouping a set of related categories in a meaningful, systematic, and standard format, for example, country or region.
Advanced |
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Intermediate |
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Foundation |
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Associated Categories |
17. Integrate data
Combining multiple datasets together to form a larger dataset, aiming to maximise the value of the data.
Advanced |
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Intermediate |
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Foundation |
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Associated Categories |
18. Data editing
Checking data for consistency, errors and outliers, and correcting errors.
Advanced |
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Intermediate |
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Foundation |
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Associated Categories |
19. Metadata - describe and summarise data
Defining and describing data to effectively manage and accurately interpret it. Includes information about data, such as its size or creation date.
Advanced |
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Intermediate |
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Foundation |
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Associated Categories |
21. Data processing methodology
Understanding and/or applying statistical procedures used to deal with intermediate data and statistical outputs, for example, weighting schemes, statistical adjustment, or methods for imputing missing values or source data.
Advanced |
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Intermediate |
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Foundation |
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Associated Categories |
22. Exploratory data analysis
Analysing datasets to describe their main characteristics, for example, the distribution of variables.
Advanced |
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Intermediate |
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Foundation |
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Associated Categories |
23. Visualise data
Translating data into a visual context, including maps, charts and graphs, making data easier to interpret.
Advanced |
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Intermediate |
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Foundation |
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Associated Categories |
24. Statistical data analysis
Analysing data using statistical measures and methods to produce informative statistics.
Advanced |
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Intermediate |
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Foundation |
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Associated Categories |