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Statistics and Data Directorate

Statistical Information System Collaboration Community (SIS-CC)

 

Given the similar needs and challenges faced by countries in developing their statistical information systems (SIS), the OECD created the SIS Collaboration Community over ten years ago to collaborate in the development of common solutions. By sharing knowledge, this cooperation has helped to mutualise costs in fostering common standards (SDMX) and driven co-innovation in the production of state-of-the-art open source solutions for official statistics.

SIS-CC 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. 

The Community Vision 

Adhering to this purpose means we believe we can offer something that is bigger than just the sum of the achievements of each individual organisation’s project objectives: meet the much-needed larger co-investment in digital platforms supporting official statistics process around the world, a pre-requisite to the broader statistical modernisation agenda. We believe this mission requires us to: 

    • Consolidate our foundations built over 2014-19 around 4 pillars: community-driven dynamicsopen source delivery(macro)data lifecycle coveragecomponent-based and scalable architecture by adapting them to a context which calls for more inclusiveness, the continued adoption of new technology to enable fast-moving organisations, the opportunity to connect open ecosystems in a ‘plug & play’ mode, and the necessity to invest in the larger coverage and better integration of the data lifecycle.

    • Stretch our value proposition by exploring new territories, such as:  

              > going disaggregated by consuming micro-data and geolocalised data as SDMX (3.0) input to the data lifecycle;
              > data quality by design with built-in features to streamline the data process (automation, pre-validation, workflow &
                  reporting…) and improve the quality of data products; and
              > joint research and innovation projects to mutualise ideas, knowledge and resources in the most frontier areas
                  of work.

    • In order to achieve common goals: make data more accessible and modernise the data lifecycle constitute the broad strategic agenda for most organisations, to which we add: build an inclusive data ecosystem, so that the open source assets developed by the Community can truly benefit a wide range of organisations with middle or lower capacity, through the appropriate support and business models.  

In 2019, the community released the .Stat Suite, an ‘SDMX-native’ full open source platform, building on best practices in statistical data modelling, to progressively cover the (Macro)data lifecycle (design, collect, process, disseminate). The .Stat Suite aims to incorporate automation and advanced quality assurance features and enables producers and users to work around the same data, avoiding, in turn, inefficient fragmentation of tools and process.

 

.Stat Suite, is a platform to:

    • manage the (macro)data lifecycle for official statistics (design, collect, process, disseminate).

    • explore data and develop various reporting and dissemination experiences.

    • model data and metadata according to SDMX best practices.

 


For more information, see
SIS-CC 2020-25 strategy and visit https://siscc.org to find out more about the .Stat Suite and the Community.

 

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