The SIS-CC Newsletter – Holiday Edition 2022

The Statistical Information System Collaboration Community (SIS-CC) wishes all its members and followers a wonderful holiday season and a prosperous 2023. 2022 was a very fruitful year, two new members, Statistics Canada and the Food and Agriculture Organization, joined the Community.  Moreover, many successful collaborative activities were organised, such as workshops and webinars, as well as the […]

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Data modelling workshop with FAO in Rome

The OECD-led Statistical Information System Collaboration Community welcomes the Food and Agriculture Organization (FAO) as its 16th member. As part of an extended onboarding procedure for new members, two of our SDMX data modelling experts flew to Rome for a two day hands-on workshop with the aim to boost FAO experts’ capacity for SDMX data […]

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FAO joins the Community

The Statistical Information System Collaboration Community (SIS-CC) welcomes the Food and Agriculture Organization (FAO) of the United Nations as its 16th member. “FAO is very pleased to join the SIS-CC as this allows to implement collaborative solutions to the current efforts of the Organization in modernizing its statistical system. The modernization project aims to develop […]

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The SIS-CC Newsletter -October 2022

The October issue of the SIS-CC Newsletter showcases upcoming events such as the Webinar on Fusion Metadata Registry (FMR)  for beginners  on 17 November 2022 hosted by the Bank of International Settlements (BIS) and new releases from the .Stat Suite Explained video series featuring: How to get started with the .Stat DLM Excel-Add in.    It […]

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Key points from the Webinar: Using ILO SDMX tools for data preparation and modelling for the .Stat Suite hosted by .Stat Academy

The .Stat Academy hosted a webinar on Wednesday, 19 October 2022, to demonstrate how the ILO SDMX tools (namely SDMX Constructor and SMART) can be used to build the structural metadata and load data on the .Stat Suite platform. The .Stat Academy is a platform for data producers and data toolers to learn and teach, […]

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