METIS

Quick links

GSBPM

Common Metadata Framework

Metadata Case Studies

GSIM

 All METIS pages (click arrow to expand)

 

METIS COMMON METADATA FRAMEWORK (CMF)

METADATA CASE STUDY

 

< COUNTRY / ORGANIZATION NAME>

 

 

 

 

 


1. INTRODUCTION 

Organization Name

 

Number of staff

The total number of staff in your organization. It would be good to distinguish between central/regional offices where applicable.

Organization structure

A diagram showing high-level structure of the organization.

 

 

 

 

 

Contact person
(for Metadata)

Name
Job title / Division
Email
Phone

Metadata strategy

Explanation of the overall strategy for managing metadata across the organization. For example, the mandate/programme providing framework for the project, and basic metadata management principles used.

Current situation

Outline the current metadata management project(s) being planned or implemented. This can be a short overview. The detail about the project will be provided in the following sections.

 

 

2. STATISTICAL METADATA SYSTEMS AND THE STATISTICAL BUSINESS PROCESS

2.1 Statistical business process model

Provide a diagram or explanation of the statistical business process model used in your organization. Explain how/when it was developed.

Illustrate how this maps to the CMF Generic Statistical Business Process Model (1. Specify Needs, 2. Design, 3. Build, 4. Collect, 5. Process, 6. Analyse, 7. Disseminate, 8. Archive, 9. Evaluate, 10. Quality Management/ Metadata Management – a more detailed description of this model is published at www.unece. org/stats/gsbpm ).

2.2 Metadata system(s)

Describe the current metadata system, or systems, that are the subject of this case study. Explain how they fit within other organizational systems and clarify which point they are at (i.e. scoping, planning, implementation, etc). Explain how the system(s) and the business process above are interrelated. Descriptions of planned changes and additions would also be helpful.

This section is intended as an overview of the system, and should not overlap with Section 4. It can contain links to more detailed descriptions of individual components if available.


2.3 Costs and Benefits

Describe the costs and benefits of the project(s). Costs should preferably be given in terms of human resources rather than money.

2.4 Implementation strategy

Explain if the project is being implemented with a step-wise or ‘big-bang’ approach. Provide a timeline of project milestones if possible.

 

 

3. STATISTICAL METADATA IN EACH PHASE OF THE STATISTICAL BUSINESS PROCESS

3.1 Metadata Classification

Describe the classification your organization uses to group metadata or differentiate between types of metadata.

Example groups of metadata are 1. Survey Metadata, 2. Definitional Metadata, 3. Methodological Metadata, 4. System Metadata, 5. Operational Metadata, 6. Quality metadata (the CMF metadata classification is being developed and will be published at www.unece.org/stats/cmf/PartC.html ).

3.2 Metadata used/created at each phase

Clarify whether your organization manages metadata throughout the statistical business process, or only at particular phases (eg ‘Design’, or ‘Disseminate’). It is recognized that not all offices have “end-to-end” metadata systems. Please just provide information for those phases that are relevant to your project(s).

Describe the metadata used or created at each phase of the statistical business process.

The intention of this section is to provide some more detailed information about the metadata that is created, captured and reused at each point of the business process.

3.3 Metadata relevant to other business processes

Describe the metadata used for other business processes, such as management and budgeting, which may not be directly related to the statistical business process.

 

 

4. SYSTEMS AND DESIGN ISSUES

4.1 IT Architecture

Provide a brief overall description of IT architecture (e.g. Service Oriented Architecture) and architectural scheme, and the way in which the metadata systems fit in with that architecture.

4.2 Metadata Management Tools

List the tools used for metadata management.

Information about the tools and techniques used for data and metadata integration (to link metadata repositories to statistical processing tools and data).

4.3 Standards and formats

Describe the metadata standards and file formats being used within your metadata system (e.g. Dublin core, ISO 11179, SDMX etc.).

4.4 Version control and revisions

Describe approach to version control and managing revisions of both metadata and metadata systems.

4.5 Outsourcing versus in-house development

Describe the current situation and planned developments by outsourcing or using resources in-house.

4.6 Sharing software components of tools

Please list and briefly describe any software components and/or tools that you would be willing to share with other statistical organizations. Please indicate if they are available free or for a charge.

 

 

5. ORGANIZATIONAL AND WORKPLACE CULTURE ISSUES

5.1 Overview of roles and responsibilities

Provide a list of roles involved in metadata/statistical business process management (e.g. subject matter statistician, survey manager, metadata manager etc.). Include details such as job title, responsibilities, organisation group (e.g. Subject matter, IT, methodology & standards, central metadata group etc), and reporting relationships.

Describe the team/individuals involved in development and maintenance of metainformation systems. It would be useful if you could also provide a list and contact information for all specialists in metadata management in your office.

5.2 Training and knowledge management

Explain strategies in place for training staff working on metadata projects and for knowledge management of metadata issues across the organization.

5.3 Partnerships and cooperation

Describe existing or planned cooperation with other organizations in relation to metadata management projects.

5.4 Other issues

Describe any other organizational and workplace culture issues that impact on metadata management.

 

 

6. LESSONS LEARNED

6.1

Provide a list of “lessons learned” from planning developing, and/or maintaining metadata management systems. What are the key points that the readers should be aware of?

 

 

7. ATTACHMENTS & LINKS

7.1

List any relevant attachments or links

 

*** END ***