The metadata information for phases 1-6 of the GSBPM model are described in detail in the Metadata chapter. We will shortly describe the main types of metadata and give examples for phases 1-3. For the description of metadata of every sub-process we adopted the information of metadata (Morgado, 2009). Some metadata were used the same though some of them were modified. Design roadmap NOTE: this paragraph should be reduced The Design Phase roadmap for implementing a S-DWH described in the handbook would describe the design activities, and any associated practical research work needed to define the statistical outputs, concepts, correction methodologies, collection instruments and operational processes in a S-DWH environment. The Design phase is worked out in detailed maps that show the essential milestones/steps, represented as a or stop’. All the specific S-DWH stops are linked to the deliverables to be ‘station used in that stage of the S-DWH development process. In the detailed sub map the 3 tracks are represented by colored the line represents the Metadata Roadmap Design the blue line represents the Methodology Roadmap Design the red line represents the Technical aspects Roadmap Design Furthermore there is a continuous grey line running through each phase and emphasizing the importance of good documentation, not only during the development process, but also in the operational phase. Metadata road map - green line Metadata is which describe other data. The description could refer to both data containers and/or individual instances of the application data. According to Common Metadata Framework (rif..), the statistical metadata should enable a statistical organization to perform effectively the following functions: Planning, designing, implementing and evaluating statistical production processes. Managing, unifying and standardizing workflows and processes. Documenting data collection, storage, evaluation and dissemination. Managing methodological activities, standardizing and documenting concept definitions and classifications. Managing communication with end-users of statistical outputs and gathering of user feedback. Improving the quality of statistical data and transparency of methodologies. It should offer a relevant set of metadata for all criteria of statistical data quality. Managing statistical data sources and cooperation with respondents. Improving discovery and exchange of data between the statistical organization and its users.
The metadata information for phases 1-6 of the GSBPM model are described in detail in the Metadata chapter. We will shortly describe the main types of metadata and give examples for phases 1-3. For the description of metadata of every sub-process we adopted the information of metadata (Morgado, 2009). Some metadata were used the same though some of them were modified. Design roadmap NOTE: this paragraph should be reduced The Design Phase roadmap for implementing a S-DWH described in the handbook would describe the design activities, and any associated practical research work needed to define the statistical outputs, concepts, correction methodologies, collection instruments and operational processes in a S-DWH environment. The Design phase is worked out in detailed maps that show the essential milestones/steps, represented as a ‘station or stop’. All the specific S-DWH stops are linked to the deliverables to be used in that stage of the S-DWH development process. In the detailed sub map the 3 tracks are represented by colored the line represents the Metadata Roadmap Design the blue line represents the Methodology Roadmap Design the red line represents the Technical aspects Roadmap Design Furthermore there is a continuous grey line running through each phase and emphasizing the importance of good documentation, not only during the development process, but also in the operational phase. Metadata road map - green line Metadata is which describe other data. The description could refer to both data containers and/or individual instances of the application data. According to Common Metadata Framework (rif..), the statistical metadata should enable a statistical organization to perform effectively the following functions: Planning, designing, implementing and evaluating statistical production processes. Managing, unifying and standardizing workflows and processes. Documenting data collection, storage, evaluation and dissemination. Managing methodological activities, standardizing and documenting concept definitions and classifications. Managing communication with end-users of statistical outputs and gathering of user feedback. Improving the quality of statistical data and transparency of methodologies. It should offer a relevant set of metadata for all criteria of statistical data quality. Managing statistical data sources and cooperation with respondents. Improving discovery and exchange of data between the statistical organization and its users.
S-DWH%20Design%20manual%20Chapter%202%20-%20How%28v1.0%29.docx