1. Public Review for Candidate Technical Standard for SDMX-JSON Structure and Referential Metadata Messages

The SDMX Technical Working Group (SDMX-TWG) has prepared a Candidate Technical Standard for SDMX-JSON Structure Message and a Candidate Technical Standard for SDMX-JSON Referential Metadata Message and submits them for public review. The public review is open until 30 April 2019. All feedback is welcome.

The SDMX-JSON standard is a JSON (JavaScript Object Notation) based data exchange message format designed for and therefore responding to the main use case of data discovery and visualisation on the web. The proposed format is aligned also with the JSON API specification.

JSON is a widely used standardised lightweight data-interchange format. SDMX-JSON with a simple and dense but generic message format that supports different types of data structures will ease writing software for the web that easily consumes SDMX data resources. It should allow for an efficient client-server exchange, small message sizes and fast parsing. The format may be used in a wide variety of programming languages and application programs. Testing and development of the format has focused on JavaScript applications running in web browsers.

The SDMX-JSON message formats supports the SDMX 2.1 Information Model and work together with the SDMX 2.1 RESTful Web Services API.

Please send your comments to the SDMX Technical Working Group (SDMX-TWG) at twg@sdmx.org or post issues to the Git repository. Concrete changes can also be proposed by forking the Github repository and sending pull requests.

2. Public review of SDMX Global DSD for Labour Statistics

The international organisations seek to improve the reporting and exchange framework for labour statistics. The SDMX sponsor organisations (BIS, ECB, Eurostat, IMF, OECD, United Nations and World Bank) agreed that the DSD for labour statistics project meets the requirements of a Global DSD project. This is a public review for the Global DSD for labour statistics.

There are two main items available at the start of the review:

  • The DSD Matrix workbook that describes all of the SDMX artefacts in the Global DSD for labour statistics model;
  • The Guidelines document that explains the DSD Matrix workbook and other aspects of the Global DSD initiative.

The purpose of this public review is to test that the SDMX artefacts and guidelines are fit for their intended purpose by the SDMX community. Some key questions to consider by reviewers are:

  1. Do you understand the described model (Concept Scheme, DSDs, Codelists, etc.) in order to implement it for your use case, such as disseminating to an international organisation or collecting data?
  2. Do you see errors in the model; such as multiple ways to encode the same data, missing concepts or codes for existing indicators?
  3. Do you know of significant technical barriers to implementing an exchange based on the Global DSD?
  4. Are there errors in the guidelines, or could they be made clearer?

The SDMX-ML technical files, and dataflow constraints will be made available shortly after the start of the public review in non-final mode. Also, the draft model will adapt to feedback throughout the public review – the changes will be described on this page.

Send your feedback on the public review to david.barraclough@oecd.org.

Deadline: 30 June 2019, close of business.