{"help": "https://data.gov.au/data/en/api/3/action/help_show?name=datastore_search", "success": true, "result": {"include_total": true, "limit": 100, "records_format": "objects", "resource_id": "616d86ef-8abe-4801-a9d9-e2084ccbbd26", "total_estimation_threshold": null, "records": [{"_id":1,"code":"VAL","name":"Value organisational data as assets","description":"Understanding the value and use of data and treating organisational data accordingly. This includes drawing insights from data for evidence-based decisions and recommendations","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Is familiar with organisational data assets relevant to their work\r\nUnderstands how those assets contribute value to the organisation\r\nActively looks for opportunities to use data to support decision making, advice and research\r\nUses insights from data to make informed, evidence-based decisions and recommendations, and act accordingly","level_2":"Has extensive knowledge of the organisation's data assets, including a comprehensive understanding of how their fitness for purpose translates to value for the organisation\r\nPromotes opportunities for using data to support decision making, advice and research\r\nConsiders the broader environment and context when drawing or interpreting insights from data. Uses these insights to make informed, evidence-based decisions and recommendations, and act accordingly","level_3":"Has a comprehensive understanding of the data assets available to the organisation and understands how these assets contribute strategic value\r\nLooks for new ways to obtain value from organisational data assets\r\nCan advise on how organisational data assets contribute value in broader data contexts\r\nIs an expert resource on the broader and strategic environment when drawing insights from data. Uses this expertise to make informed, evidence-based decisions and recommendations and act accordingly. "},{"_id":2,"code":"COM","name":"Data communication","description":"Effectively commnunicating with data or about data with a range of audiences","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Can develop and deliver a simple narrative to communicate insights related to their data\r\nCan ask and answer a range of questions relating to their data, relevant to the audience\r\nCan communicate effectively with a range of stakeholders during data production, management, or use","level_2":"Can develop and deliver effective narrative to communicate insights drawn from a range of data sources and outputs\r\nCan comfortably question data and results they are presented, and answer technical questions relating to their data, relevant to the audience\r\nCan communicate effectively between technical and non-technical experts across data production, management, or use, including clients, managers and data professionals\r\nCan effectively communicate the relationship between the data and the context in which it is used","level_3":"Can develop and deliver advanced level narrative to communicate insights drawn from complex data sources and outputs\r\nMaintains understanding of new trends and innovations relating to data communication (including Artificial Intelligence-based technologies) and develops skills in these where relevant\r\nUnderstands the importance of translating technical concepts into non-technical language, and can adapt  communication effectively for a range of audiences.\r\nCan use innovative approaches to improve the process of summarising data into meaningful narratives\r\nUses high quality analytics and visualisation to  communicate insights from data\r\nCan effectively listen to technical and business stakeholders, and understand and interpret their data needs"},{"_id":3,"code":"IMP","name":"Improvement and Innovation - Data processes/systems and tools/products","description":"Identifying and implementing change to create efficiencies and new opportunities by making existing processes, systems, tools and products better and/or creating new ones","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Can identify a successful process system or tool/process/product\r\nCan identify deficiencies in current processes/ systems or tools/products\r\nCan support systems testing under guidance and following test plans","level_2":"Can identify deficiencies in current processes/systems and tools/ products, gain the required approval to make changes, and lead the implementation of those changes\r\nCan identify and harness opportunities to create efficiencies and effective new processes/systems and tools/products\r\nCan develop a test scenario and lead systems testing, following organisational procedures and protocols and analyse the results","level_3":"Thinks strategically to assess current processes/systems and tools/ products across a broad context\r\nDevelops improvements where needed and encourages others to think critically about processes/systems and tools/ products relevant to them\r\nAdvises those leading changes to processes / systems and tools/ products, measures resultant benefits, and makes recommendations\r\nUnderstands the impact of new trends and innovations on organisational data processes, systems and tools, and products\r\nMaintains understanding of new trends and innovations relating to data processes, systems and tools, and products within the organisation and externally.\r\nProvides technical expertise for systems testing, including validating the quality of the testing approach and results"},{"_id":4,"code":"GOV","name":"Data governance","description":"Developing and/or implementing a collection of practices and processes, which help ensure the formal management of data assets within an organisation","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"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).\r\nKnows where to obtain advice on governance as required","level_2":"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)\r\nCan educate others in the importance of good governance practice","level_3":"Is an expert resource 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)\r\nRepresents a point of contact for data governance leads in other organisations\r\nMaintains 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)\r\nCan provide data governance thought leadership across broader data use contexts"},{"_id":5,"code":"AVL","name":"Data availability","description":"Identifying existing and new data sources that can be accessed and used","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Is aware of available data (both internal and external)\r\nIs aware that data has limitations and gaps, and seeks support in evaluating this if needed.","level_2":"Can identify and evaluate internal and external sources of data, including understanding any limitations and gaps\r\nCan use suitable techniques to evaluate new sources of data","level_3":"Is an expert resource for seeking out new sources of data or identifying new ways of using existing sources of data\r\nProvides expertise in techniques to evaluate possible new sources of data\r\nResearches new techniques to assess data availability"},{"_id":6,"code":"ACC","name":"Data access","description":"Obtaining or retrieving data","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Can use the range of available options to access common data sources","level_2":"Has a comprehensive knowledge of protocols associated with data access.","level_3":"Can mitigate issues arising from different access approaches\r\nCan make and justify recommendations for data access \r\nCan provide actionable strategic advice on data access"},{"_id":7,"code":"SRC","name":"Sourcing and use of administrative data","description":"Obtaining and using information which is collected by government departments, businesses and other organisations for a range of reasons such as registrations, sales and record keeping","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Is aware of the data obtained from administrative sources and the use of administrative data\r\nKnows where to obtain advice about administrative data sources and use as required\r\nUnderstands what administrative data is, including its benefits and limitations","level_2":"Is knowledgeable about various sources of administrative data and can explain their limitations\r\nHas a strong understanding of the advantages and disadvantages of using administrative data, including in relation to survey data\r\nCan assess the utility of different sources of administrative data for a particular purpose\r\nUnderstands and can amend existing code (programming language) to source and  combine administrative data","level_3":"Is knowledgeable about multiple sources of administrative data \r\nCan advise on how the data has been used to produce new insights\r\nProvides expertise to identify new sources of administrative data as well as uses for that data\r\nCan write custom scripts and code (programming language) to source and combine administrative data\r\nMaintains understanding of new trends and innovations relating to sourcing of administrative data(including Artificial Intelligence-based technologies) and develops capabilities in these where relevant"},{"_id":8,"code":"COL","name":"Data collection","description":"Gathering and measuring data on variables of interest, in an established and systematic fashion","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Understands the role of data collection and the value propositions of different collection approaches\r\nCan collect data by following established processes, using the systems and tools provided","level_2":"Has a comprehensive knowledge of the full range of data collection options, including costs and benefits \r\nKnows how to mitigate issues arising from different collection modes\r\nIs able to understand and amend existing code (programming language) to collect data","level_3":"Is an expert resource in all aspects of data collection, including why data is collected and the roles associated with collection\r\nCan make justifiable decisions about how data is collected\r\nCan write custom scripts and code (programming language) to collect data"},{"_id":9,"code":"SMX","name":"Subject matter expertise","description":"Applying knowledge and expertise in a specific subject, area, or program","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Has a general understanding of the subject matter area associated with data use (e.g., small business, healthcare, rural sector, etc).","level_2":"Has a comprehensive 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":"Is an expert resource 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"},{"_id":10,"code":"RSC","name":"Identify research questions","description":"Determining questions that enable a topic of interest to be investigated through qualitative and quantitative research","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Can formulate research questions with guidance and consider the appropriate approaches and measures to resolve those questions","level_2":"Can identify and structure relevant research questions for specific needs, and develop the approach and specific measures to resolve those questions","level_3":"Uses a range of techniques to assess data needs and identify gaps, towards the formulation of appropriate research questions"},{"_id":11,"code":"OUT","name":"Data outputs, products or services","description":"Delivering data-related useable items and services","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Is aware of the steps of the data output, product or data service process, and understands the decisions made at each of those steps\r\nKnows where to obtain advice on data outputs, products and/or services as required","level_2":"Is responsible for the production of a data output, product or service.\r\nCan create data outputs or products and deliver data services in accordance with established processes and systems, and can explain decisions made at all stages","level_3":"Has expert knowledge about the production of a data output, product or service\r\nProvides expertise in developing new products or data services to meet evolving requirements, needs and opportunities.\r\nCan build the capability of others in the delivery of data outputs, products or services"},{"_id":12,"code":"MTH","name":"Data collection methodology","description":"The methods and standards relating to the collection of data","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Is aware of relevant data collection methodologies \r\nKnows where to obtain advice on data collection methodologies as required","level_2":"Has a comprehensive knowledge of relevant data collection methodologies\r\nCan make and justify recommendations of various modes of collection","level_3":"Is an expert resource on data collection methodology\r\nCan make justifiable recommendations to address data collection issues \r\nMaintains understanding of new trends and innovations relating to data collection methodology (including Artificial Intelligence-based technologies) and develops own capabilities in these where relevant"},{"_id":13,"code":"QUL","name":"Data integrity and quality assurance","description":"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","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Understands the concept of data quality and its importance\r\nKnows where to access data quality measures for the data they use\r\nCan follow guidelines and procedures to determine the trustworthiness and accuracy of the data they are using\r\nCan follow guidelines and procedures to maintain the integrity of the data they are working with","level_2":"Can describe and produce data quality measures for the outputs they produce\r\nHas a comprehensive knowledge of relevant data quality measures and can use them to make accurate assessments of data fitness-for purpose (including trustworthiness and accuracy)\r\nHas a comprehensive understanding of relevant data integrity principles and practices, and uses them to maintain the integrity of organisational data","level_3":"Is an expert resource in the use of measures for data quality assurance, the interaction of those measures, and their application in conjunction with one another\r\nCan advise others on the use of data quality measures to make accurate assessments of data fitness-for purpose (including trustworthiness and accuracy)\r\nIs an expert resource on ensuring data integrity across its lifecycle, and advises others"},{"_id":14,"code":"SCM","name":"Statistical concepts and methodologies","description":"Understanding and/or applying the methods and terms relating to statistical techniques","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Is familiar with statistical methodologies relevant for their work\r\nMaintains a basic understanding of the concepts underpinning the statistical methodologies relevant for their work","level_2":"Has a comprehensive understanding of a wide range of statistical concepts, methodologies, and their appropriate application\r\nCan explain the proper use of a range of statistical concepts, methodologies to others","level_3":"Is an expert resource on statistical concepts and provides advice on the proper use of statistical methods\r\nLeads efforts to apply good statistical practice\r\nCan build capability of others in understanding and applying statistical concepts and methods"},{"_id":15,"code":"MGT","name":"Data and information management","description":"Gathering data and then analysing, categorising, contextualising, and maintaining it (and in some cases destroying) as an organisational resource","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"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\r\nKnows where to obtain advice on the application of good data and information management practice\r\nKnows what data is and broadly what it can be used for","level_2":"Has a comprehensive knowledge of the organisation's data and information management principles and guidelines and can apply them to support good data practice. This includes requirements relating to data access, data security, privacy and ethics\r\nCan advise others on the proper application of data and information management concepts","level_3":"Is an expert resource for 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, privacy and ethics\r\nRepresents a point of contact for data and information management leads in other organisations"},{"_id":16,"code":"CLS","name":"Data classification","description":"Grouping a set of related categories in a meaningful, systematic, and standard format, e.g. country or region","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Is aware of relevant data classifications and coding protocols, and their proper application to data in general\r\nKnows who to consult for expert knowledge","level_2":"Has a comprehensive knowledge of data classifications and coding protocols\r\nKnows where to obtain expert advice about coding and classifications where needed","level_3":"Is an expert resource on data classifications and coding protocols and advises others\r\nCan employ conceptual frameworks in support of data classification and coding"},{"_id":17,"code":"INT","name":"Integrate data","description":"Combining multiple datasets together to form a larger dataset, aiming to maximise the value of data","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Has a basic understanding of how data can be linked with other data \r\nUnderstands what data integration is, including its benefits and limitations\r\nUnderstands what types of data can be combined for analysis","level_2":"Can perform data integration using standard tools and can implement quality controls\r\nKnows where to obtain expert advice on data integration as needed\r\nIs able to understand and amend existing code (programming language) to integrate data \r\nCan assess datasets' suitability for linkage and extract appropriately prepared datasets","level_3":"Can perform and provide expert advice on data integration\r\nCan build capability of others in understanding and applying good data integration practice and principles\r\nCan write custom scripts and code (programming language) to integrate data\r\nMaintains understanding of new trends and innovations relating to integrating data (including Artificial Intelligence-based technologies) and develops skills in these where relevant"},{"_id":18,"code":"EDT","name":"Data editing","description":"Checking data for consistency, errors and outliers, and correcting errors","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Knows where to access relevant methods and understands the basics of those methods\r\nKnows who to consult for expert knowledge\r\nCan edit data following established guidelines and procedures ","level_2":"Has a comprehensive knowledge of the different editing methods at their disposal\r\nUnderstands why different methods are used and can describe the limitations of each method\r\nKnows where to find expert advice about data editing as required","level_3":"Is an expert resource on different methods of data editing and advises others\r\nCan assess current editing methods critically\r\nCan build capability of others in data editing concepts and methods"},{"_id":19,"code":"MET","name":"Metadata - Describe and summarise data ","description":"Defining and describing data to effectively manage and accurately interpret it. Includes information about data, such as its size or creation date","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Understands there are different ways to summarise data and has a basic understanding of commonly used metadata options\r\nUnderstands the concept of metadata, including its purpose and benefits","level_2":"Can use various summary options to effectively describe data, and explain and justify those choices\r\nFollows organisational standards and procedures relating to metadata creation, storage and use.\r\nCan access metadata and use the descriptors to better understand existing data and effectively use it.","level_3":"Is an expert resource on metadata. Can establish standards for metadata and provide oversight and advice to others.\r\nMaintains knowledge of metadata best practice, including standards and applications.\r\nCan use a range of tools for storing and working with metadata. Keeps metadata refreshed and updated, and can repair items that are incorrect or out of date"},{"_id":20,"code":"USE","name":"Data use and re-use","description":"Enabling data to be used for an immediate purpose, as well as appropriately re-used for alternative purposes","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Understands the data they work with can be used more widely and is aware of relevant data sharing legislation\r\nIs familiar with basic data sharing guidelines and organisational procedures to support the re-use of their data by others","level_2":"Understands and can articulate the value of data in terms of use and re-use\r\nImplements a variety of techniques to ensure data is open and can be used beyond the specific purpose for which it was collected, in accordance with legislative requirements and organisational guidelines (includes data sharing legislation)","level_3":"Is a leading strategic adviser on the use of organisational data assets\r\nIs an expert resource  on the design and management of organisational data assets as open data. Promotes re-use and ongoing value of data across wider contexts, in accordance with legislative requirements and organisational guidelines (includes data sharing legislation)"},{"_id":21,"code":"PRC","name":"Data processing methodology","description":"Understanding and/or applying statistical procedures used to deal with intermediate data and statistical outputs, e.g. weighting schemes, statistical adjustment, or methods for imputing missing values or source data","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Is aware of the proper processing methodology for the data being used and understands its application\r\nKnows where to obtain advice on processing methodology as required","level_2":"Can make and justify suggestions for improvements in how data Is processed\r\nUnderstands how processing methodology affects the quality of the outputs","level_3":"Is an expert resource on processing methodology and can assess it critically to identify improvements\r\nCan explain how processing methodology relates to the quality of data outputs"},{"_id":22,"code":"EXP","name":"Exploratory data analysis","description":"Analysing datasets to describe their main characteristics, e.g., the distribution of variables","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Can choose from data analysis techniques\r\nCan use (or learn how to use) appropriate analytical tools to investigate data","level_2":"Can identify and implement suitable techniques and tools and assemble data visualisations for exploratory analysis on large/complex datasets\r\nCan validate unexpected results\r\nIs able to understand and amend existing code (programming language) to conduct exploratory data analysis","level_3":"Is highly competent at performing exploratory analysis on large/complex datasets\r\nCan build capability of others in exploratory data analysis techniques\r\nCan write custom scripts and code in a programming language to conduct complex analytical tasks\r\nMaintains understanding of new trends and innovations relating to exploratory data analysis (including Artificial Intelligence-based technologies) and develops skills in these where relevant"},{"_id":23,"code":"VIS","name":"Visualise data","description":"Translating data into a visual context, including maps, charts and graphs, making data easier to interpret","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Can interpret basic data visualisations like standard charts and explain them to others\r\nCan create basic visualisations such as tables and graphs","level_2":"Can readily produce a range of data visualisation outputs (including complex graphs and map visualisations) and can critically assess and enhance those produced by others\r\nCan select the most appropriate medium to visualise data","level_3":"Innovates the development of new approaches to, and options for, data visualisation, and can incorporate a range of techniques, including automation, interactivity, and animations\r\nCan advise others on data visualisations options and the best options to present data results\r\nCan build capability of others in creating and interpreting  data visualisations"},{"_id":24,"code":"STS","name":"Statistical data analysis","description":"Analysing data using statistical measures and methods to produce informative statistics","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Understands basic statistical measures and their application to data\r\nIs aware of the analytical methodology being used in their work\r\nCan conduct basic analysis on simple data","level_2":"Can use specialist statistical applications for statistical models\r\nIs able to understand and amend existing code (programming language) to conduct analytical tasks","level_3":"Contributes to the development of new functionality for statistical analysis applications, which enables new ways of doing things\r\nCan write custom scripts and code in a statistical computing language to conduct complex analytical tasks\r\nMaintains understanding of new trends and innovations relating to statistical data analysis (including Artificial Intelligence-based technologies) and develops skills in these where relevant"},{"_id":25,"code":"SPC","name":"Specialist data analysis","description":"Analysing data in specialist areas such as geospatial analysis and timeseries forecasting","link":"https://www.apsc.gov.au/publication/aps-data-capability-framework","category":"Data","subcategory":null,"level_1":"Understands the need for special data analysis methods and tools in some situations (e.g., time series forecasting or geospatial analysis)\r\nIs aware of the analytical methodology being used in their work","level_2":"Can develop, fit, 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