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6.1 Overview of roles and responsibilities

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.

6.2 Metadata management team

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.