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HLG-BAS workshop Session III. Questionnaire responses of the HLG-BAS related groups A. Born / A. Götzfried / J . M . Museux. The background. Preparatory questionnaires were sent to all groups/committees related to the HLG-BAS in October 2011;
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HLG-BAS workshop Session III Questionnaire responses of the HLG-BAS related groups A. Born/A. Götzfried/J.M. Museux
The background Preparatory questionnaires were sent to all groups/committees related to the HLG-BAS in October 2011; These groups are subdivided in three categories: • CES groups: MSIS, METIS, etc. • ESS groups: ITDG, DIME, Sponsorship groups, etc. • Other groups such as Statistical Network, SDMX groups, OECD groups etc. The HLG-BAS itself reports to the Conference of European Statisticians.
The « HLG-BAS questionnaire » The questions asked to the groups were: • What are the current priorities of the group ? • How do you expect the priorities to change in the next 3 years? • To what extent do you think the current priorities of this group are consistent with the HLG-BAS Strategic vision (regarding statistical processes and products)? • How do you think the planned future activities of this group can contribute to the implementation of the HLG-BAS vision (regarding statistical processes and products)? • Please identify up to three new areas of work which your group could take on to contribute to the implementation of the HLG-BAS Strategic Vision. • Which phase(s) of the GSBPM are most closely related to the activities of this group? • Which other international expert groups does this group have links to? (e.g. formal links to parent and subsidiary groups, and informal links to other expert groups working on related topics)
Business Concepts Information Concepts conceptual 12) ESSnet on Standardisation Business Concepts 15) Statistical Network 17) SDMX/DDI Dialogue conceptual 20) SDMX Sponsors 2) METIS 8) CORA / CORE (13 Sponsorship on Quality) 5) HMRT 24) DDI GSBPM GSBPM GSIM GSIM 14) WG Quality in Statistics 10) Metadata Working Group 11) Sponsorship on Standardisation Common Generic Common Generic 1) MSIS 21) SDMX Expert Group lndustrialised Statistics lndustrialised Statistics 6) ITDG 16) SOS Group 9) DIME 7) SISAI 3) SAB 15) Statistical Network 19) IMAODBC Methods Methods Technology Technology practical practical 27) Blaise User Group 25) Paris Microdata Access Group 4) SDE 22) SDMX Tech Standards 23) SDMX Stat. Standards 26) OECD Stat.User Group 18) PC-Axis Statistical HowTo Production HowTo Statistical HowTo Production HowTo Grouping of the CES, ESS and other groups
Current priorities of the “GSBPM” groups xxx– leading xx – contributing x – concerned
Current priorities of the “HLG-BAS” groups consistent with the HLG-BAS vision
Future activities contributing to the implementation of the HLG-BAS vision
Some main findings • Business process integration and “industrialisation” of the statistical production is in the focus of many international groups; less groups are dealing with (innovative) statistical products. - For most of the work areas there is one group clearly leading and other groups are contributing (often with a group hierarchy). Overlap in certain work areas can however not be excluded.- International groups often co-operate well with European groups; the latter ones seem to stay consistent with international developments and create/implement consistent European standards/solutions/etc.;- Often identical colleagues are participating in related groups and therefore assure consistency and co- operation;
Whichphase(s) of the Generic Statistical Business Process Model is/are most closely related to the activities of this group?
GSBPM subgroups DIME - ESS Directors' Group for methodology ESS Committee ITDG - ESS IT Director's Group The relationship between the GSBPM groups SDMX Technical Working Group SDMX Technical Working Group SDMX Statistical Working Group SDMX Statistical Working Group Conference of European Statisticians Sponsorship on Standardisation Eurostat Metadata Working Group ESS Directors' groups SDMX Sponsors ESSnet standardisation Statistical Network OECD SDMX expert HR Management and Training in stat. offices METIS Various groups related to SDMX and DDI UN Expert Group on International Economic and Social Classifications ESS WG on quality CES Bureau Various data / metadata initiatives outside the realm of official statistics UN Expert Group on National Quality Assurance Frameworks Eurostat Expert Group on Quality Indicators
Conclusions The analysis of the responses to the HLG-BAS questionnaire is seen as input to the discussion of this seminar. The groups have been allocated to 4 work areas: GSBPM, GSIM, Methods, Technology. Many groups seem to navigate well within their surrounding and co-operate well with related groups. Some further and more in-depth analysis of the responses to the “HLG-BAS questionnaire” might be useful.
Business Concepts conceptual Information Concepts 12) ESSnet on Standardisation Business Concepts conceptual 15) Statistical Network 17) SDMX/DDI Dialogue 20) SDMX Sponsors 2) METIS 8) CORA / CORE (13 Sponsorship on Quality) 5) HMRT 24) DDI GSBPM GSIM GSBPM GSIM 14) WG Quality in Statistics 10) Metadata Working Group 11) Sponsorship on Standardisation Common Generic Common Generic 1) MSIS 21) SDMX Expert Group lndustrialised Statistics lndustrialised Statistics 6) ITDG 16) SOS Group 9) DIME 7) SISAI 3) SAB 15) Statistical Network practical practical 19) IMAODBC Methods Methods Technology Technology 27) Blaise User Group 25) Paris Microdata Access Group 4) SDE 22) SDMX Tech Standards 23) SDMX Stat. Standards 26) OECD Stat.User Group 18) PC-Axis Statistical HowTo Production HowTo Statistical HowTo Production HowTo Concrete actions for different groups to implement the vision • Two rounds of discussion in 4 groups • First round on tactical issues: subdivision according to the following sub-squares
How can the different groups (METIS, St. Network, SISAI …) contribute to the HLG-BAS vision ? • Identify gaps and overlaps • Consider how the groups might better contribute to implementing the vision • Facilitators • GSBPM : Walter Radermacher • GSIM : Irena Krizman • Methods : Gosse van der Veen • Technology : Brian Pink
Second round • Focus on the strategic issues of the contribution of Brian Pink • 4 groups facilitated by the same HLG BAS members • All groups (2 times 4) to report back in 3 to 4 minutes in the afternoon
TimescheduleSession (iii) • 9:45 First round : each group in its corner • 10.50 Coffee break • 11:10 Second round : re-allocation of participants to groups • 12:30 Lunch break • 13:30 Report from groups • 14:00 Discussion • 14:40 Coffee break
Output of session (iii) For the first round • Set of proposed orientation for the different relevant groups • General mapping on the strategy • Suggestion for required accompanying actions For the second round • Contribution to the 9 topics raised by Brian Pink