Generic Statistical Business Process Model (GSBPM) describes the core business processesundertaken by statistical organisations to produce statistical outputs. It is used by more than 50 organisations world wide. Read more here
Generic Statistical Information Model (GSIM) describes the core pieces of information needed by statistical organisations to produce statistical outputs. Read more here
Common Statistical Data Architecture (CSDA) is reference architecture and guidance for the modernisation of their processes and systems. Read more here
Strategic Communication Framework is a guide for Statistical Organisations to the development and implementation of a communication strategy. Read more here
Generic Activity Model for Statistical Organisations (GAMSO) extends and complements the GSBPM by describing overarching activities and processes to support the production of official statistical production. Read more here
Common Statistical Production Architecture (CSPA) helps statistical organisation create interoperable tools to share within and between statistical organisations. Read more here
Generic Statistical Data Editing Model (GSDEM) is intended as a reference for all official statisticians whose activities include data editing. Read more here
Machine Learning for Official Statistics the 2019-2020 project continued as a collaboration community in 2021. Read more here
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Public web space of the UNECE High Level Group for the Modernisation of Official Statistics (HLG-MOS)
Blog on Recent highlights and updates
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