Workshop on Supporting Standards 2026

Building on core pillars such as centralised data repositories, integrated data-acquisition and statistical compilation processes, and robust governance of reference data and metadata catalogues, Banco de Portugal has been advancing the standardisation and interoperability of its statistical systems.

This work gives particular emphasis on the harmonisation of statistical concepts as a key...

Building Semantic SDMX for AI-ready Statistics and Interoperability: Challenges, Achievements, Prospects

A major challenge for achieving interoperability lies in the insufficient development of standards for the exchange of Linked Open Statistical Data (LOSD). Current data exchange standards — including SDMX, SIMS, DDI and others — have been developed within an object-oriented paradigm,...

We will present preliminary outcomes of an ongoing project at Statistics Netherlands (CBS), to be carried out between February and June 2026. It is an extension of prior efforts and builds upon an existing first proof of concept. The project explores the potential of Large Language Model (LLM)-based Retrieval-Augmented Generation (RAG) to support researchers in efficiently identifying relevant...

National Statistical Offices (NSOs) globally are under pressure to deliver more comprehensive and timely statistics, whilst operating in an increasingly complex survey environment. Declining response rates, rising costs, increasing respondent burden and expanding operational workloads are forcing NSOs to re-evaluate traditional approaches and to pursue innovative alternatives.

In response...

Insee has been implementing for many years an ecosystem of repositories dealing with standardised metadata for statistical purposes. The finest level is currently the instance variable and its representation (numeric, text, code list, etc.).These objects serve multiple purpose and are consumed by several internal and external stakeholders:
- An internal platform to centralise ready-for-use...

Disruptive change—particularly the rapid adoption of generative AI, machine learning, and multi-source statistics—demands standards and architectures that make official statistics interoperable, transparent, and repeatable. A common barrier is inconsistent use of official geographic identifiers across disseminated datasets and metadata, which increases manual reconciliation, introduces linkage...

Users increasingly expect to talk to statistics in plain language, while official statistics must remain authoritative, confidentiality preserving, and fully verifiable. The Statistical Office of the Republic of Serbia (SORS) is developing an AI dissemination chatbot for its official channels under a trust first design: public and SDC protected content only, transparent referencing and...

The Pacific Community’s Statistics for Development Division (SDD) is implementing a division‑wide business process optimisation programme to modernise statistical production through standards‑aligned process re‑engineering. Core activities, such as mapping the organisational structure to the GSBPM, defining governed data steady states, and redesigning end‑to‑end workflows using BPMN, provide a...

Istat is releasing the first functionalities of a new metadata system whose aim is to manage structure and reference metadata together, as well as the semantic component that assigns a clear and unambiguous meaning to statistical metadata. These three assets, i.e. the system module on statistical process description, data description and semantics, are closely related and guarantee data are...

The ECB Data Portal provides access to all official ECB statistics, which is a vast amount of data. Due to the big amount of timeseries published, less experienced users may have difficulties in retrieving the right information and understanding the meaning and relevance of the data. Traditional search methods can be inefficient, especially for users unfamiliar with statistical terminology,...

The IMF is modernizing how statistical data and metadata are produced and managed to support both AI-enabled access and enterprise data governance. This work is built around two closely related use cases. First, a standardized metadata model mapped to Dublin Core, DCAT, and SDMX Global Data Structure Definitions (DSDs) is used to generate consistent semantic descriptions for the IMF’s SDMX...