Data
Capabilities
On this page we have presented the Data Capabilities for Sexual Health Policy and Practice Model in two ways.
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.
| Capability | Definition | Sub-capabilities | Core Questions |
|---|---|---|---|
|
Access & Infrastructure |
The degree to which useful data is generated or accessed, and the technical means to manage and make use of it |
Collection methodology
Availability for use Classifications and standards Systems and tools Interoperability of both internal and external platforms and systems |
What counts as sexual health data, and how is it generated and accessed?
Are datasets siloed and difficult to access? Can the organisation access and use the data it generates? How well do different platforms (and their methods of data collection and abstraction) work together? How well do data technologies support organisational purpose? Is there an organisation-wide strategy for integrated data software systems? |
|
Skills |
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)
Data and domain expertise Analysis (problem posing and solving) Communicating with data |
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? 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? What is the quality of data and the value of data analysis for decision making? How is data analysis communicated internally, with funders, clients and the wider community? |
|
Governance |
Established processes of stewardship, leadership and accountability in the ethical creation and use of data for decision-making |
Use, re-use and sharing
Stewardship and management Ethics and inclusivity (consent, incorporation of consumer perspectives and experiences within organisational data policies and practices) Legality Risk Management Data breach |
Who is accountable for datasets, and who has the authority to control access and use them?
Who takes responsibility for managing privacy and data security? 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? How does the organisation make decisions around what data to store and how to store it? How does lived experience inform decision-making around the collection, use and storage of data? How are legal requirements and security monitored and implemented? What processes are in place to prevent, monitor and respond to a data breach? |
Take me to Data
Access and Infrastructure
Take me to Data Skills
Take me to
Data Governance