2022 Modernisation Projects
(For project updates, please see Modernisation updates)
CONTEXT
The main goal of the Statistical Data Governance Framework project is to produce a document describing a reference framework containing the main elements needed to implement a governance program focused on achieving data interoperability. This framework will provide the ability to create, exchange, and use data while preserving its meaning and context independently from a given system or a set of systems.
PROJECT OBJECTIVES
The objective is to increase the value of the statistical information by establishing connections between the data from different domains. The project will aim at reducing costs by creating a way to effectively reuse information and tools as well as improve the information products and services adding the capacity to create a new generation platform of systems and tools that will enhance the analysis and dissemination of statistics. In this way, the framework can meet the emerging and more complex needs of our users while at the same time improving data and metadata quality by making it more transparent, manageable and comparable.
- WP1: Establishing a data governance body
- WP2: Structuring and using the existing models and standards
- WP3: Identifying core aspects to be covered during GSBPM phases and sub-processes
- WP4: Guide to implement transversal platforms for data interoperability and concept-driven integrated information systems
Participation is open to staff from statistical organisations and others interested in Official Statistics. Please contact the UNECE secretariat if you wish to participate in the project.
CONTEXT
The 2021 project on input privacy-preserving techniques (IPPT), proved that such techniques can play an important role in making external data sources accessible when there are confidentiality concerns. This allows for analysing or integrating external data sources and producing statistics without revealing the microdata to the external partner. It was concluded that a continued collaboration was needed to further develop the performed experiments and to better understand the environment that is required for IPPT as well as to get a better understanding of the methodological challenges.
PROJECT OBJECTIVES
The objective is to expand and continue the existing collaboration between the involved participating organizations and to further explore and broaden the applicability of input privacy preservation techniques. This will allow NSOs to become part of or leading in data ecosystems by allowing the use of private data between NSOs and, more generally, between organizations.
- WP1. Deepening practical experiments
- WP2. Document use cases and provide guidelines for implementation
- WP3. Create user community
Participation is open to staff from statistical organisations and others interested in Official Statistics. Please contact the UNECE secretariat if you wish to participate in the project.
CONTEXT
Moving from innovation to implementation keeps being a major challenge. The purpose of the Meta-Academy for the Modernisation of Official Statistics is to remove barriers to co-creation of training and reuse of content at an international level, which will ultimately unleash the creation and use, at scale, of open digital assets to boost the National Statistical Office (NSO) upskilling necessary for modernization.
PROJECT OBJECTIVES
This project intends to raise the standards of virtual learning on topics necessary for the modernization of statistics but are missing or inconsistent from academic, commercial or in-house offerings. The meta-academy project sets out to create a benchmark to better map existing initiatives and offerings in order to better coordinate efforts, reduce duplication and fill in training gaps. This project will facilitate sharing of skills strategies, as well as catalogues of contents and pedagogical artefacts, and more generally good practices and standards in that space, so that scopes for reuse or co-creation in learning capabilities can be more easily and more systematically spotted and leveraged by all NSOs.
- WP1: Benchmarking
- WP2: Co-create capacity building content
- WP3: Finalizing the framework for virtual learning, co-creating and reusing content
Participation is open to staff from statistical organisations and others interested in Official Statistics. Please contact the UNECE secretariat if you wish to participate in the project.
Previous Modernisation Projects
For project outputs, please see HLG-MOS Outputs
Earlier Projects (no text):