Objective
Aim: To break new ground in the field of official statistics, CLEAR STATS produces a flexible open-source tool that evaluates representation and measurement error in data used by National Statistical Institutes (NSIs).
Background: NSIs use an increasing amount of new data sources combined with traditional ones– administrative, digital-source data and surveys- to produce official statistics. However, these sources are subject to various types of errors, which can severely impact the reliability of the official statistics they produce. Moreover, NSIs lack an easy-to-use tool to evaluate the quality of these data.
Innovation: CLEAR STATS develops, applies, evaluates and disseminates a flexible and open-source R-package that detects measurement and representation error in several types of variables. This package incorporates advanced statistical methods suitable for detecting these errors. With this method, we can assess the quality of statistics before publication and signal the need for corrections. Moreover, this method will enhance the data-quality control practices that NSIs currently employ.
Plan: The project is carried out in collaboration with the Italian National Institute of Statistics, specifically with its Methodology Division. To facilitate the sustainability of the proposed tool, CLEAR STATS delivers an implementation plan for the tool to other official statistics (which can also be used by other NSIs) and a dissemination plan for approaching policymakers and other users of the statistics.
Impact: CLEAR STATS will foster a cultural shift in official statistics by promoting the confidence of National Statistical Institutes in model-based error-corrected statistics. In the policy field, as the method is applicable to a wide range of topics, the project contributes to evidence-based policy-making.
Fields of science (EuroSciVoc)
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2025-POC
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1081 HV Amsterdam
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.