1) What is the relationship between GSBPM and GAMSO? Is it one model or two? How do they work together?

2) Should the overarching processes in GSBPM be removed now that GAMSO exists? Below is an excerpt from GSBPM. Perhaps all overarching processes with the exception of Quality and Metadata Management should be removed from GSBPM. NB: There are specific entries on Quality - where does it go? and Metadata Management - GSBPM and GAMSO

 

12. The GSBPM also recognises several over-arching processes that apply throughout the eight phases, and across statistical business processes. These can be grouped into two categories, those that have a statistical component, and those that are more general, and could apply to any sort of organisation. The first group are considered to be more important in the context of this model, however the second group should also be recognised as they have (often indirect) impacts on several parts of the model.

13. Over-arching processes with a statistical component include the following. The first four are most closely related to the model. Quality and Metadata management are specifically highlighted in model diagrams and are elaborated further in Section VI.

  • Quality management - This process includes quality assessment and control mechanisms. It recognises the importance of evaluation and feedback throughout the statistical business process;
  • Metadata management - Metadata are generated and processed within each phase, there is, therefore, a strong requirement for a metadata management system to ensure the appropriate metadata retain their links with data throughout the GSBPM. This includes process-independent considerations such as metadata custodianship and ownership, quality, archiving rules, preservation, retention and disposal;
  • Data management - This includes process-independent considerations such as general data security, custodianship and ownership, data quality, archiving rules, preservation, retention and disposal;
  • Process data management - This includes the management of data and metadata generated by and providing information on all parts of the statistical business process.
  • Knowledge management - This ensures that statistical business processes are repeatable, mainly through the maintenance of process documentation;
  • Statistical framework management - This includes developing standards, for example methodologies, concepts and classifications that apply across multiple processes;
  • Statistical program management - This includes systematic monitoring and reviewing of emerging information requirements and emerging and changing data sources across all statistical domains. It may result in the definition of new statistical business processes or the redesign of existing ones;
  • Provider management - This includes cross-process burden management, as well as topics such as profiling and management of contact information (and thus has particularly close links with statistical business processes that maintain registers);
  • Customer management - This includes general marketing activities, promoting statistical literacy, and dealing with non-specific customer feedback.


14. More general over-arching processes include:

  • Human resource management;
  • Financial management;
  • Project management;
  • Legal framework management;
  • Organisational framework management;
  • Strategic planning.

 

****Remove all processes in red text???*****

 

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5 Comments

  1. InKyung Choi

    29 Sep, 2017

    (Feedback from INEGI; 29 September, 2017)

    • The structure of GAMSO and its relation with GSBPM must be better defined.
    • There are some ambiguities caused by having some sub-processes described in both standards (GAMSO and GSBPM). 

  2. Steven Vale

    01 Oct, 2017

    Good questions! My views as someone heavily involved in the development of both models:

    • Question 1 - Logically it is one model. The GSBPM is the "Production" part of GAMSO, rather like the Neuchâtel classifications model became the classifications part of GSIM. From a purist point of view, this could lead to the conclusion that the GSBPM should cease to exist as a separate model. However, I don't think that would be wise, because many statistical organisations use GSBPM, but some of them would say that they don't use GAMSO (even if, by definition, they are actually using part of it!). We need to keep the GSBPM “brand” for now.
    • We originally developed the GSBPM just in the context of statistical metadata, which meant that it only needed to focus on statistical production. We recognised that other activities existed in statistical organisations, but we put them to one side, referring to them as “over-arching processes”. They were not so important for our purposes, so we just listed some of them. The two exceptions were metadata management and quality management. Because we had a strong metadata focus, we included them in the GSBPM picture, and added a few paragraphs about them at the end of the GSBPM document.
    • However, the GSBPM is no longer just a metadata model, It is now used for many more purposes, for example as a classifier for methods and software, and as a management tool to record costs. For these purposes, some of the other over-arching processes are more important than metadata or quality management. Even in the context of statistical production, it is hard to justify why metadata management should be seen as more important than data management or process data management. Therefore, given the many different uses of GSBPM, it seems reasonable to conclude that all over-arching processes should be treated as more or less equal (so I don’t agree with the split between grey and red processes above). When we developed the GAMSO, it was intended to provide a more systematic view of the overarching processes. It also responded to demands that the GSBPM alone was not best placed to meet, for example recording the time spent by statistical office staff on different activities. The three paragraphs quoted above could therefore be replaced by some text saying that processes or activities in statistical organisations that cut across and support multiple statistical production processes are elaborated in the GAMSO.
    • My answer to question 2 is a qualified “yes”. The overarching processes do still exist, but they are elaborated in the rest of the GAMSO, so there is no need to also elaborate them in the statistical production part of the GAMSO (the GSBPM). This is just duplication. However, the reason my answer is a qualified “yes” is that sometimes, in a specific organisation, or for a specific purpose, it might be useful just to show the GSBPM, with one or more over-arching process. In this case, it could be reasonable, for that organisation or purpose, to add a box above the GSBPM picture showing the relevant over-arching process(es). However, any such cases should be seen as specific implementations or uses of the GSBPM, rather than as part of the generic model. Some text on this point would be useful in the GSBPM document.
    • Finally, text is quoted from the GSBPM, but I think it is also useful to look at text from the GAMSO to understand the relationships between the models. This is because the GAMSO reflects more recent thinking, and has gone through 2 iterations of drafting, review and approval since GSBPM 5.0 was published. Some relevant quotes are:

    “The Generic Activity Model for Statistical Organisations (GAMSO) describes and defines the activities that take place within a typical organisation that produces official statistics. It extends and complements the Generic Statistical Business Process Model (GSBPM) by adding additional activities needed to support statistical production. When the GSBPM was developed, such activities were referred to as over-arching processes, and were listed, but not elaborated in any great detail. Over the years there have been several calls to expand the GSBPM to better cover these activities. The GAMSO was therefore developed to meet these needs”

    “While individual collaborations typically focus on modernising a particular aspect of production (as described by the GSBPM), statistical production occurs within a broader context of corporate strategies, capabilities and support.  The GAMSO helps to place collaboration in the wider context.”

    “The GAMSO is intended as an extension of the GSBPM.”

    “It should be noted that there continues to be an overlap between certain areas of GAMSO 1.1, and some of the overarching elements of GSBPM 5.0, such as in quality management. GAMSO and GSBPM are scheduled for joint review in 2018.”

    “The Production activity area corresponds to the GSBPM v5.0 where it is described in detail. The over-arching GSBPM processes (particularly quality and metadata management) have a cross-cutting nature and influence GAMSO in different layers.”

    “The Production activities in GAMSO are those included in version 5.0 of the Generic Statistical Business Process Model. This means that GAMSO is by construction fully consistent with GSBPM v5. The over-arching processes, both those that have a statistical component, and those that are more general, and could apply to any sort of organisation, that are mentioned in the GSBPM are not included in Production as they relate to other parts of the GAMSO.”

  3. InKyung Choi

    02 Oct, 2017

    (Feedback from Statistics Sweden; 2 October, 2017)

    Overarching processes are in GSBPM but have also been included in GSMSO. We suggest that the overarching processes are removed from GSBPM.

  4. InKyung Choi

    09 Oct, 2017

    (Feedback from Statistics Estonia; 5 October, 2017)

    Over-arching processes should be described in more details and split into two parts:

    • Activities that are specific to statistical processes (surveys), should be connected/attached to and described in the GSBPM
    • More general activities should be connected / attached to the GAMSO

  5. InKyung Choi

    20 Apr, 2018

    (Feedback from Group Discussion during ModernStats World Workshop 2018; 11 April, 2018)

     

    Group work 2

    Overlaps between GSBPM and GAMSO

     

    Questions:

    Do you agree with the proposal for Quality and Metadata Management?

    The group was unanimously in fovour

     

    What about other overarching process with a statistical component? (data management, process data management, knowledge management, statistical framework management, statistical program management, provider management, customer management)

                The group decided that the overarching processes with a statistical component has to be treated in a similar way as Quality and Metadata Management when they are strictly related to the statistical business process. In particular this applies to the following ones:

    -       data management,

    -       process data management,

    -       knowledge management (because it includes process documentation)

    -       provider management

    The group decided that other overarching processes with a statistical component should not be referred to in GSBPM because they pertain to GAMSO.  They are:

    -        statistical framework management,

    -       statistical program management

    -       customer management

     

    What about the more general  overarching processes ( Human resource management, financial management, Project management, legal framework management, organisational framework management, strategic planning)

          The group decided that more general overarching processes without a statistical component should not be referred to in GSBPM because they pertain to GAMSO.