Data
Capabilities
Data Capabilities
The Model demonstrates how the three data capabilities – access and infrastructure, skills, and governance – and their sub-capabilities are interconnected.
The Table lists the same information, alongside some core questions for each of the capabilities.
These questions can be used to facilitate critical discussions about the data technologies, platforms and practices according to the needs of your group or organisation.
You can access downloadable versions of the Model graphic and table here.
| Capability | Definition | Sub-capabilities | Core Questions |
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The degree to which useful data is generated or accessed, and the technical means to manage and make use of it |
Collection methodology
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What counts as sexual health data, and how is it generated and accessed?
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Availability for use |
Are datasets siloed and difficult to access?
Can the organisation access and use the data it generates? |
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Classifications and standards |
Is there an organisation-wide strategy for integrated data
software systems? |
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Systems and tools |
How well do data technologies support organisational purpose? |
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Interoperability of both internal and external platforms and systems |
How well do different platforms (and their
methods of data collection and abstraction) work together? |
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The ability to generate, read, appraise, analyse and use and present data responsibly to aid operations, evaluation and decision-making |
Data wrangling (cleaning, editing, linking)
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How do organisations and individuals
understand and articulate their own data generation practices?
How do organisations and individuals distinguish the difference between organisational data, and externally generated research evidence? |
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Data and domain expertise |
How are informal or ‘everyday’ data practices recognised by individuals and organisations?
How are roles and responsibility for the use of data allocated within the organisation? How is data expertise fostered and to what extent is this inclusive? |
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Analysis (problem posing and solving) |
What is the quality of
data and the value of data analysis for
decision making? |
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Communicating with data |
How is data analysis communicated internally, with funders, clients and the wider community? |
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Established processes of stewardship, leadership and accountability in the ethical creation and use of data for decision-making |
Use, re-use and sharing
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Who is accountable for datasets, and who has the authority to control access and use them?
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Stewardship and management |
Who takes responsibility for managing privacy and data security? |
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Ethics and inclusivity (consent, incorporation of consumer perspectives and experiences within organisational data policies and practices)
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What are the guiding ethical principles for
ethical decision-making around issues such as data sovereignty and stigma?
How are ethical issues identified and addressed? |
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Legality |
How does the organisation make decisions around what data to store and how to store it? |
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Risk Management |
How does lived experience inform decision-making around the collection, use and storage of data?
How are legal requirements and security monitored and implemented? |
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Data breach |
What processes are in place to prevent, monitor and respond to a data breach? |
