Framework by category

The capabilities in their 7 possible categories (i.e. capabilities get repeated across the categories as applicable). Each of these categories relates to a stage in the data lifecycle, as seen in the diagram below. This view is useful if you want to focus on a particular category to assess an individual or team.

The word plan written in white text on an aqua background
The word describe written in white on a deep blue, almost black background
The words Collect / Generate written in white on an orange background
The word Store written in white text on a purple background
The word prepare written in white text on a red background
The words analyse/use/share written in white text on a green-blue background
The words preserve/destroy written in white on a green background

Categories

A white line illustration of a checklist on an aqua background with the word plan underneath it

Plan 

The processes and resources are mapped out for the lifecycle of the data. The project’s goals are stated, and a full data management plan is created.
A white line illustration of a document on a black background with the word describe underneath

Describe

The data is accurately described using the appropriate metadata standards.
A white illustration of an arrow pointing down into a tray on an orange background with the word Collect / Generate

Collect/Generate 

Data is gathered or generated by the individuals/organisation wanting to use it.
A white line illustration of an arrow pointing into an empty vessel on a purple background. The word store is underneath, written in purple

Store

The data is stored in a digital repository, is made secure and reusable. This often very quickly follows collection.
A white illustration of a document on a red background with the word prepare underneath it

Prepare

The data is prepared, made ready for analysis and use.
A white line illustration of a graph on a green-blue background with the words analyse, use, share underneath

Analyse/Use/Share

The data is analysed and used for the purpose for which it was collected or generated and reused for additional value.
A white illustration of a 5.25inch floppy disk on a green background. The word "Preserver/Destroy" is underneath it

Preserve / Destroy 

Actions are taken to safeguard the long-term viability and availability of the data.
The Data Lifecycle View
The word plan written in white text on an aqua background
The word describe written in white on a deep blue, almost black background
The words Collect / Generate written in white on an orange background
The word Store written in white text on a purple background
The word prepare written in white text on a red background
The words analyse/use/share written in white text on a green-blue background
The words preserve/destroy written in white on a green background
1. VAL - Value organisational data as assets ✓ ✓ ✓ ✓ ✓ ✓ ✓
2. COM - Data communication ✓ ✓ ✓ ✓ ✓ ✓ ✓
3. IMP - Improvement and innovation (for data) ✓ ✓ ✓ ✓ ✓ ✓ ✓
4. GOV - Data governance ✓ ✓ ✓ ✓     ✓
5. AVL – Identifying data availability ✓   ✓        
6. ACC – Enabling data access ✓   ✓        
7. SRC - Sourcing and use of administrative data ✓ ✓ ✓     ✓  
8. COL - Data collection ✓   ✓        
9. SMX - Subject matter expertise ✓ ✓ ✓   ✓ ✓  
10. RSC - Identify research questions ✓   ✓     ✓ ✓
11. OUT - Data outputs, products or services ✓         ✓  
12. MTH - Data collection methodology     ✓        
13. QUL - Data quality   ✓ ✓ ✓ ✓ ✓  
14. SCM - Statistical concepts and methodologies – data analysis   ✓ ✓ ✓ ✓ ✓ ✓
15. MGT - Data and information management   ✓ ✓ ✓ ✓ ✓ ✓
16. CLS - Data classification   ✓   ✓ ✓ ✓ ✓
17. INT - Integrate data   ✓     ✓ ✓  
18. EDT - Data editing   ✓   ✓ ✓    
19. MET - Metadata - Describe and summarise data   ✓   ✓ ✓ ✓ ✓
20. USE – Enabling data use and re-use   ✓   ✓   ✓ ✓
21. PRC - Data processing methodology         ✓    
22. EXP - Exploratory data analysis         ✓ ✓  
23. VIS - Visualise data         ✓ ✓  
24. STS - Statistical data analysis           ✓  
25. SPC - Specialist data analysis           ✓  
26. BUS - Business intelligence data analysis           ✓  
Was this page helpful?