Statistical Information System Collaboration Community

Empowering data communities

Strengthening the global community of members by fostering deeper collaboration and knowledge sharing in the field of official statistics.

Harnessing data for global progress

Advancing the development and adoption of the open source tools to achieve common goals and support the modernisation of official statistics worldwide.

Innovating data solutions together

Bringing together statistical organisations to co-create and co-invest in shared solutions based on open-source and open standards.

Fostering open knowledge and co-innovation

Enabling individuals and organisations to develop the necessary skills to implement best practices of official statistics tooling and modelling.

who we are

The Statistical Information System Collaboration Community is a reference open-source community for official statistics, focusing on product excellence and delivering concrete solutions to common problems through co-investment and co-innovation.

Members Partners Technology Partners

Our impact

The SIS-CC is a global community supporting statistical infrastructure modernisation and capacity building efforts around the world.

CASE STUDY: ILO LMIS PROJECT

International Labour Organisation (ILO) is supporting +25 countries around the world in implementing Labor Market Information System (LMIS) projects. Through its SIS-CC membership, the ILO provides the tools and technical assistance free of charge to all countries following its LMIS recommendations.

CASE STUDY: URUGUAY LMIS PROJECT

Uruguay transformed their Labour Market Information System from “scattered, unsystematised, and disordered information”, that led to the underutilisation of administrative records contributing to the data fragmentation, to a consolidated and organised information diverse sources, underpinned by streamlined operations and improved overall data accessibility.

CASE STUDY: NBB MODERNISATION PROJECT

Upgrade of the National Bank of Belgium's data infrastructure to enhance data integration and sharing by consolidating siloed data domains into a unified, harmonised space, facilitating better internal data sharing and maintaining reporting channels with international organisations, as well as significantly enhancing data accessibility for NBB data users. The project was carried out with funding by the European Union (EU) via the Technical Support Instrument.

CASE STUDY: LUXEMBOURG'S DATA PORTAL

Luxembourg’s new and redesigned statistics portal, supporting more user-friendly search, access to and use of official statistics on Luxembourg. The project was carried out with funding by the European Union (EU) via the Technical Support Instrument, an EU programme providing tailor-made technical expertise to EU Member States to design and implement reforms, and in cooperation with the European Commission’s DG Structural Reform Support.

CASE STUDY: STATISTICS CANADA DATA HUB

The Canadian Center for Energy Information serves as a one-stop hub for impartial and dependable energy insights in Canada, offering consolidated data on energy production, consumption, trade, and environmental impacts for easy user access.

CASE STUDY: PACIFIC DATA HUB

The Pacific Data Hub provides access to a large number of indicators on different topics (including SDGs) from across the region. The flagship component of the Pacific Hub is PDH.Stat, based on the .Stat Suite Data Explorer, developed under the umbrella of the SIS-CC and SDD secretariat.

CASE STUDY: SDMX GEOSPATIAL ANALYSIS

The Australian Bureau of Statistics (ABS) and ESRI, a leading provider of geospatial software solutions, joined forces to leverage the .Stat Suite and the power of SDMX (Statistical Data and Metadata Exchange). Their objective was to address a number of challenges, including timely data dissemination, improved data accessibility, and improved geospatial analysis of ABS data.

CASE STUDY: UNICEF'S HOW MANY

How many children are there in the world? How many of those have been vaccinated against polio? And how many are enrolled in school? How many NLP search engine is hosted within the UNICEF data portal, powered by the .Stat Suite and based on the SDMX standard.

CASE STUDY: NIS CAMBODIA

To implement data dissemination and reporting on the Sustainable Development Goals using latest good practices, the National Institute of Statistics of Cambodia successfully leveraged the open-source .Stat Suite platform, SDMX standard, and the power of the Community driven dynamics.

CASE STUDY: STATISTICS MALDIVES

UNESCAP provided SDMX data modelling training for the Maldives Bureau of Statistics to successfully publish the yearbook and SDG indicators leveraging the open-source .Stat Suite platform, SDMX standard, and the power of the Community driven dynamics.

CASE STUDY: MEN MADAGASCAR

The OECD Statistics and Data Directorate supported UNESCO to provide technical support in data modelling and SDMX capacity building to establish a data modelling practice at the Ministry of National Education (Le Ministre de l’Éducation Nationale, MEN). In parallel, the .Stat Suite platform was set-up on the UNGP by UNSD and ILO for the purposes of the training and further testing by MEN data practitioners.

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what we do

Focused on product excellence and delivering concrete solutions to common problems.

.STAT SUITE, A PLATFORM...

...To manage the (macro)data lifecycle for official statistics (design, collect, process, disseminate).
...To explore data and develop various reporting and dissemination experiences.
...‘SDMX-native’, building on best practices in statistical data modeling, and open source.

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How we learn

.Stat Academy supports capacity building in the .Stat Suite and data modelling in SDMX for data toolers and data producers.

An introduction to SDMX for data producers

Learn about the Statistical Data and Metadata eXchange standard and how it is applied in the .Stat Suite context.

SDMX vocabulary for beginners

Learn about routine SDMX vocabulary to describe and define statistical data tables.

An introduction to SDMX structural modelling for data producers

Learn about the Statistical Data and Metadata eXchange data modelling and how to practically apply it in the .Stat Suite context.

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What our Community is saying

Real feedback, real people, real perspectives from our Community

The Community products are used by the members to manage and share their own data, while also being made available to any public entity seeking to maximise the value of their data to inform and guide public policy.

The community approach is an excellent way to develop software products like .Stat Suite, but also to create synergies among the different organisations in terms of data sharing, data modelling and improving data collection.

SIS-CC actively uses their open data tools and standards to strengthen development data work within and outside the community with a rich and successful history of collaborative capacity building in low-to-middle income countries.

SIS-CC facilitates the implementation of collaborative solutions to support an organisation in modernising its statistical system to develop a corporate statistical dissemination platform and implement international standards.

We need, as the community of official statistical organisations, to continue to join forces to co-innovate and co-invest in the next generation of practices and solutions to meet common challenges. Most of us will not be able to cope with these challenges alone.

We are committed to improving data availability, access and sharing. We handle a high number of requests from users, which is why we decided to, with support from the OECD and PARIS21, systematically analyse our current practices and the way we manage people, processes and products.

With the support of UNICEF, the OECD, and PARIS21, under the SIS-CC, we were able to analyse the 'as is' situation of our current data flow and practices across the organisation, to define a way forward, aligned to international best practices and standards.

We chose .Stat Suite for three reasons. First, it is built with the SDMX standard at the core, thus enabling open exchange of data and metadata with our partners. Second, it is backed by a global community of users and developers, ensuring the long term continuity of the platform. And third, it is open source.