5.1 Overview of metadata audiences and use of metadata
To ensure that metadata is relevant and useful a high level analysis of the audiences of the metadata environment has been completed. The audiences have also been identified using several broad user groups - Public, Professional, Technical, System.
External Audiences
User Group Name
Use of the solution
Type
Government
Request new statistics about NZ
Use statistics about NZ
Professional
Public
Request new statistics about NZ
Use statistics about NZ
Public
External Statisticans (incl. International Organisations)
Request new statistics about NZ
Use statistics about NZ
Interact with data in Statistics NZ environment
Technical
Internal Audiences
User Group Name
Use of the solution
Type
Statistical Analysts
Interact with data in Statistics NZ environment
Utilise workflows to manage data processing and assembly
Analyse data through standard tools and processes.
Maximise the re-usability of data.
Work with Statistical Methods, IT, and Management to specify standardised generic solutions
Automated task delivery
Automated activity monitoring
Process transparency and traceability
Devolve processing responsibility to known automated capability
Technical
Professional
IT Personnel (business analysts, IT designers & technical leads, developers, testers etc.)
Utilise components to develop processing system of end-to-end solution
Utilise standard toolsets and methods to develop processing systems.
Focus development effort on adding value to the Statistics NZ Business Process Model
Work with Management and Statistical Analysts to determine business processes.
Work with SM, SA, and Management to design standardised generic solutions.
Build new and maintain components of standardised generic solution
Technical
Professional
Management
Utilise workflow to manage data processing and assembly.
Work with Statistical Methods, IT to design and configure workflows
Monitor progress of business processes to produce statistical outputs.
Automated monitoring of end-to-end process
Process transparency and traceability
Professional
Data Managers / Custodians / Archivists
Manage Statistics NZ data & metadata holdings with an end-to-end perspective.
Inventory of Statistics NZ data and metadata
Process transparency and traceability
Technical
Professional
Statistical Methodologists
Work with SA, TAS, and Management to specify standardised generic solutions, with a particular responsibility for the statistical methods applied
Maintain standard modules within the infrastructure (e.g. seasonal adjustment)
Define statistical methodologies to use
Design Transformation methods
Assist in Workflow design and configuration
Provide knowledge on statistical methodologies used by Stats NZ
Incorporation of adopted best practice into end-to-end processing model
Technical
Professional
External Statisticians (researchers etc.)
Interact with data in Statistics NZ environment
Context metadata supports data needs
Technical
Professional
Architects - data, process & application
Specify standardised generic solutions.
Plan for progressive architecture
Isolate IT dependencies with defined integration and interoperability mechanisms
Technical
Professional
System
Respondent Management
Provide a user friendly service to external data providers.
Professional
Survey Developers
Utilise a standard toolset to develop and maintain collection instruments
Utilise metadata around existing collection instruments to reuse in new/enhanced collection instruments.
Question Library
Inventory of Statistics NZ data and metadata
Professional
Metadata and interoperability experts
Propose and adopt metadata standards and business rules
Manage and monitor the core corporate metadata assets
Professional
Technical
Project Managers & Teams
Manage projects to deliver an end-to-end solution using the components
Manage projects to determine feasibility of new statistical outputs.
Manage field tests of new components of standardised generic solution.
Technical
IT Management
Reduce development time and costs
Control maintenance/support costs
Define capability requirements
Professional
Technical
Product Development and Publishing
Supply of contextual metadata supports data needs
Professional
Customer/ Client Management
Maintain customer details
Capture customer request for statistics
Search and discover existing dataset for customer
Report progress on logged customer issues
Professional
Notes: This is the list of actors, i.e. roles using the Solution.
5.2 Metadata management team, training and knowledge management
While currently undefined, it is recognised that additional support will be required to maintain, monitor and improve the metadata usage in the organisation. Teams within our information management group and standards, solutions and capability group are currently involved in developing our metadata processes and infrastructure.
Current contacts on metadata within the organisation include:
Name
Role
Topics
E-mail
Phone
Hamish James
Manager - Information Management
Metadata models and systems, Information management practices and systems
hamish.james@stats.govt.nz
+644 931 4237
Matjaz Jug
Chief Information Officer - IT Solutions
Metadata and statistical production systems
matjaz.jug@stats.govt.nz
+644 931 4238
Craig Mitchell
Programme Manager - Business Solutions
Metadata models and systems, statistical business process model
craig.mitchell@stats.govt.nz
+644 931 4840
These groups will also be made responsible for the ongoing training, knowledge management and support of the metadata solution. Over 2008, the metadata team completed the adaptation of MetaNet to produce the Statistics New Zealand Metadata Model. This is being consulted on internally and will be finalised in early 2009. This is being seen as the first step in building a more consistent knowledge of metadata across the organisation. Further strategies will be developed as the metadata infrastructure is completed and implemented.