Category Collect/Generate

Level 1 - Foundation

• Is familiar with organisational data assets relevant to their work.
• Understands how those assets contribute value to the organisation.
• Actively looks for opportunities to use data to support decision making, advice and research.
• Uses insights from data to make informed, evidence-based decisions and recommendations, and act accordingly.

Level 2 - Intermediate

• Knows about various organisational data assets and understands their value to the organisation.
• Promotes opportunities for using data to support decision making, advice and research.
• Considers the broader environment and context when drawing or interpreting insights from data.

Level 3 - Advanced

• Has a comprehensive understanding of the data assets available to the organisation and understands how these assets contribute strategic value.
• Looks for new ways to obtain value from organisational data assets.
• Can advise how organisational data assets contribute value in broader data contexts.
• Has expert knowledge on the broader and strategic environment when drawing insights from data. Uses this expertise to make informed, evidence-based decisions and recommendations and acts accordingly.

Level 1 - Foundation

• Can develop and deliver a simple narrative to communicate insights related to their data.
• Can ask and answer a range of questions relating to their data, relevant to the audience.
• Can communicate effectively with a range of stakeholders during data production, management, or use.

Level 2 - Intermediate

• Can develop and deliver effective narrative to communicate insights drawn from a range of data sources and outputs.
• Can comfortably question data and results they are presented, and answer technical questions relating to their data, relevant to the audience.
• Can communicate effectively between technical and non-technical experts across data production, management, or use, including clients, managers and data professionals.
• Can effectively communicate the relationship between the data and the context in which it is used.

Level 3 - Advanced

• Can develop and deliver advanced level narrative to communicate insights drawn from complex data sources and outputs.
• Maintains understanding of new trends and innovations relating to data communication (including Artificial Intelligence-based technologies) and develops skills in these where relevant.
• Understands the importance of translating technical concepts into non-technical language and can adapt communication effectively for a range of audiences.
• Can use innovative approaches to improve the process of summarising data into meaningful narratives.
• Uses high quality analytics and visualisation to communicate insights from data.
• Can effectively listen to technical and business stakeholders and understand and interpret their data needs.

Level 1 - Foundation

• Can identify a successful process system or tool/process/product.
• Can identify deficiencies in current processes/systems or tools/products.
• Can support systems testing under guidance and following test plans.

Level 2 - Intermediate

• Can identify deficiencies in current processes/systems and tools/products, gain the required approval to make changes, and lead the implementation of those changes.
• Can identify and harness opportunities to create efficiencies and effective new processes/systems and tools/products.
• Can develop a test scenario and lead systems testing, following organisational procedures and protocols and analyse the results.

Level 3 - Advanced

• Thinks strategically to assess current processes/systems and tools/products across a broad context.
• Develops improvements where needed and encourages others to think critically about processes/systems and tools/products relevant to them.
• Advises those leading changes to processes/systems and tools/products, measures resultant benefits, and makes recommendations.
• Understands the impact of new trends and innovations on organisational data processes, systems and tools, and products.
• Maintains understanding of new trends and innovations relating to data processes, systems and tools, and products within the organisation and externally.
• Provides technical expertise for systems testing, including validating the quality of the testing approach and results.

Level 1 - Foundation

• Is aware of and understands implications of data governance frameworks and policies and the relevant legislative requirements that underpins them (includes data access, data security, privacy, and ethics).
• Knows where to obtain advice on governance as required.

Level 2 - Intermediate

• Can contribute to the creation of internal policies in support of data governance in alignment with current legislative and organisational requirements (includes data access, data security, privacy, and ethics).
• Can educate others in the importance of good governance practice.

Level 3 - Advanced

• Has expertise in data governance and can formulate and advise on data governance policies and contribute to the structure of organisational data governance frameworks (includes data access, data security, privacy and ethics).
• Establishes and maintains links across the organisation to ensure data governance aligns to other governance framework, such as information governance, IT governance and corporate governance.
• If applicable, acts as a point of contact for data governance leads in other organisations.
• Maintains awareness of new legislative requirements and trends that impact good data governance and ensures organisational compliance with these (includes data access, data security, privacy, and ethics).
• Can provide data governance thought leadership across broader data use contexts.

Level 1 - Foundation

• Is aware of available data (both internal and external).
• Is aware that data has limitations and gaps and seeks support in evaluating this if needed.

Level 2 - Intermediate

• Can identify and evaluate internal and external sources of data, including understanding any limitations and gaps.
• Can use suitable techniques to evaluate new sources of data.

Level 3 - Advanced

• Is an expert resource for seeking out new sources of data or identifying new ways of using existing sources of data.
• Researches new techniques to assess data availability.
• Provides expertise in techniques to evaluate possible new sources of data.

Level 1 - Foundation

• Is aware of the range of available options to access common data sources.

Level 2 - Intermediate

• Knows the relevant protocols associated with data access.
• Can apply knowledge of relevant data access protocols to enable access as required.

Level 3 - Advanced

• Can mitigate issues arising from different access approaches.
• Can provide actionable strategic advice on data access.
• Can make and justify recommendations for data access.

Level 1 - Foundation

• Is aware of the data obtained from administrative sources and the use of administrative data.
• Knows where to obtain advice about administrative data sources and use as required.
• Understands what administrative data is, including its benefits and limitations.

Level 2 - Intermediate

• Is knowledgeable about various sources of administrative data and can explain their limitations.
• Can assess the utility of different sources of administrative data for a particular purpose.
• Has a strong understanding of the advantages and disadvantages of using administrative data, including in relation to survey data.
• Understands and can amend existing code (programming language) to source and combine administrative data.

Level 3 - Advanced

• Is knowledgeable about multiple sources of administrative data.
• Provides expertise to identify new sources of administrative data as well as uses for that data.
• Maintains understanding of new trends and innovations relating to sourcing of administrative data (including Artificial Intelligence-based technologies) and develops capabilities in hese where relevant.
• Can advise how the data has been used to produce new insights.
• Can write custom scripts and code (programming language) to source and combine administrative data.

Level 1 - Foundation

• Understands the role of data collection and the value propositions of different collection approaches.
• Can collect data by following established processes, using the systems and tools provided.

Level 2 - Intermediate

• Has knowledge of different data collection options, including costs and benefits.
• Is able to understand and amend existing code (programming language) to collect data.
• Can mitigate issues arising from different collection modes.

Level 3 - Advanced

• Has comprehensive knowledge of all aspects of data collection, including why data is collected and the roles associated with collection.
• Can write custom scripts and code (programming language) to collect data.
• Can make justifiable decisions about how data is collected.

Level 1 - Foundation

• Has a general understanding of the subject matter area associated with data use (for example, small business, healthcare, rural sector etc).

Level 2 - Intermediate

• Has knowledge of the subject matter area associated with the data use and can readily identify the parameters of the subject matter that influence the use of the data.

Level 3 - Advanced

• Has expertise on the subject matter area associated with data use, including understanding, and influencing the effective use of the data within that subject matter area and the relationship between that use and other data use contexts.

Level 1 - Foundation

• Can formulate research questions with guidance and consider the appropriate approaches and measures to resolve those questions.

Level 2 - Intermediate

• Can identify and structure relevant research questions for specific needs and develop the approach and specific measures to resolve those questions.

Level 3 - Advanced

• Uses a range of techniques to assess data needs and identify gaps, towards the formulation of appropriate research questions.

Level 1 - Foundation

• Is aware of relevant data collection methodologies.
• Knows where to obtain advice on data collection methodologies as required.

Level 2 - Intermediate

• Has knowledge of a range of relevant data collection methodologies.
• Can make and justify recommendations of various collection modes.

Level 3 - Advanced

• Has comprehensive knowledge of data collection methodologies.
• Can make justifiable recommendations to address data collection issues.
• Maintains understanding of new trends and innovations relating to data collection methodology (including Artificial Intelligence-based technologies) and develops own capabilities in these where relevant.

Level 1 - Foundation

• Understands the concept of data quality and its importance.
• Knows where to access data quality measures for the data they use.
• Can follow guidelines and procedures to determine the quality of data.

Level 2 - Intermediate

• Can describe and produce data quality measures for the outputs they produce.
• Can use knowledge of relevant data quality measures to make accurate assessment of data fitness for purpose.

Level 3 - Advanced

• Has expertise in the use of measures for data quality, the interaction of those measures, and their application in conjunction with one another.
• Can advise others on the use of data quality measures to make accurate assessments of data fitness for purpose.

Level 1 - Foundation

• Is familiar with statistical methodologies relevant for their work.
• Has a basic understanding of the concepts underpinning the statistical methods relevant to own work.

Level 2 - Intermediate

• Understands a range of statistical concepts, methods, and their application.
• Can explain the proper use of a range of statistical concepts and methodologies.

Level 3 - Advanced

• Has comprehensive understanding of a range of statistical concepts and methods and can advise on their proper use.
• Leads efforts to apply good statistical practice.
• Can build capability of others in understanding and applying statistical concepts and methods.
• Can understand and apply new or emerging methods

Level 1 - Foundation

• Can access and comply with data and information management principles and associated guidelines. This includes requirements relating to data access, data security, privacy and ethics.
• Knows where to obtain advice on the application of good data and information management practice.
• Knows what data is and how it can be used.

Level 2 - Intermediate

• Has knowledge of an organisation’s data and information management principles and guidelines.
• Can apply knowledge to support good data practice. This includes requirements relating to data access, data security, data disposal, privacy and ethics.

Level 3 - Advanced

• Can advise others on the proper application of data and information management concepts.
• Can advise others on the strategic use of data management good practice.
• Can implement and shape the organisation’s strategic use of data and information management good practice.
• If applicable, acts as a point of contact for data and information management leads in other organisations.
• Has expertise in implementing and shaping the organisation’s strategic use of data and information management good practice and can advise others. This includes requirements relating to data access, data security, data disposal, privacy and ethics.