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In GAMSO v1.1, under Corporate Support, there is a box called "Manage information and knowledge"
Manage information and knowledge
These activities include the ownership or custody of records, documents, information and other intellectual assets held by the organisation and the governance of information collection, arrangement, storage, maintenance, retrieval, dissemination, archiving and destruction. They also include maintaining the policies, guidelines and standards regarding information management and governance. These include:
- Manage documents and records, including archiving and destruction
- Manage knowledge
- Manage information standards and access rights
- Manage metadata and data
In GSBPM v5, Metadata Management is an overarching process.
Metadata Management
115. Good metadata management is essential for the efficient operation of statistical business processes. Metadata are present in every phase, either created or carried forward from a previous phase. In the context of this model, the emphasis of the over-arching process of metadata management is on the creation, use and archiving of statistical metadata, though metadata on the different sub-processes themselves are also of interest, including as an input for quality management. The key challenge is to ensure that these metadata are captured as early as possible, and stored and transferred from phase to phase alongside the data they refer to. Metadata management strategy and systems are therefore vital to the operation of this model, and these can be facilitated by the GSIM.
116. The GSIM is a reference framework of information objects, which enables generic descriptions of the definition, management and use of data and metadata throughout the statistical production process. The GSIM supports a consistent approach to metadata, facilitating the primary role for metadata envisaged in Part A of the Common Metadata Framework3 "Statistical Metadata in a Corporate Context", that is, that metadata should uniquely and formally define the content and links between objects and processes in the statistical information system.
117. Part A of the Common Metadata Framework also identifies the following sixteen core principles for metadata management, all of which are intended to be covered in the over-arching Metadata Management process, and taken into the consideration when designing and implementing a statistical metadata system. The principles are presented in four groups:
Metadata handling |
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Metadata Authority |
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Relationship to Statistical Cycle /Processes |
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Users |
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1 | ISO 9000:2005, Quality management systems – Fundamentals and vocabulary. International Organization for Standardization |
2 | A suitable global framework is the National Quality Assurance Framework developed by a global expert group under the United Nations Statistical Commission. See: http://unstats.un.org/unsd/dnss/QualityNQAF/nqaf.aspx |
3 | See: http://www.unece.org/stats/cmf/PartA.html |
4 Comments
InKyung Choi
19 Sep, 2017Feedback from Danny Delcambre (19th September, 2017); following is an excerpt from document GAMSO_GSBPM_delineation_for_metadata_management_activities.docx.
From what is said [see comparison in the attached file], and especially the description from GAMSO, the conclusion that seems to emerge is that the limit between GAMSO and GSBPM is to be based on the level of centralization of metadata management. What is centralized, thus having a character of corporate support, should belong to GAMSO, what is done at production-unit level should belong to GSBPM. This distinction seems to fit exactly with the distinction institutional issues / process-related issues mentioned at our June teleconference.
This distinction can also be expressed in other terms. Horizontal metadata systems (including metadata-driven architectures) which impact large parts of the production system should be considered as institutional, not only because of their horizontal character, but also because changes to such systems are very heavy to implement and very costly, thus requiring a high-level decision-making process. In this sense, the activity is closer to strategic management than to operational management. Metadata systems which are used in one statistical domain only ("silo" system) are generally maintained at production unit level and this corresponds more to GSBPM.
Examples of GAMSO-related activities cover (these activities can be overlapping to a certain extent):
Examples of GSBPM-related activities cover (these activities can be overlapping to a certain extent):
Essi Kaukonen
29 Sep, 2017Dear Colleagues,
Metadata has an important role in the statistical production processes, especially when we talk about metadata-driven processes. Hence, we support the idea of keeping the Metadata Management as an overarching process in the GSBPM. Furthermore, quite many organisations already use the GSBPM-model but do not implement the GAMSO-model. Hence, in our opinion, Metadata Management should be clearly visible in the GSBPM-model as it is today in the version 5.0.
How about the idea of giving those Corporate Support activities, which are most closely related to the statistical production a special place in the GAMSO-model nearby “Production”? Following, these activities could then be included in both models?
Essi Kaukonen
Statistics Finland / Standards and Methods
Steven Vale
01 Oct, 2017I agree with Danny about making the distinction between metadata management specific to a process (so implicitly within GSBPM) and more centralised, corporate metadata management. The same holds true for data management and quality management, and possibly some other over-arching processes.
My comment on Issue #23 (GSBPM and GAMSO) could also be relevant for this discussion.
InKyung Choi
02 Oct, 2017(Feedback from Australian Bureau of Statistics (ABS); 2 October, 2017)
Metadata Management - GAMSO/GSBPM .
The ABS perspective is similar to the feedback provided by Danny Delcambre in terms of "centralization" (likely to be in GAMSO) vs Statistical Program specific activities (likely to be in GSBPM).
Where Danny says "(these activities can be overlapping to a certain extent)", I am reading that as "overlapping across the two lists" as opposed to overlapping between dot points WITHIN a particular list.
Overlapping across lists certainly fits the ABS experience.
For example, a Statistical Program Design might either need to
In this sense, obtaining sign off for a Statistical Program Design is probably primarily "within GSBPM" but some of the governance activities pre-suppose the existence of corporate metadata activities and experts.
Similarly training on metadata related models, infrastructure and practices is likely to be managed and delivered "outside" GSBPM but is then the training/knowledge is applied within GSBPM.