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Implementation of LFS 2026 module on Digital Platform Employment

Sector: Government • Location: Germany

Source: EU Funding & Tenders Portal

Project
Ongoing

The proposed project will implement the 2026 ad hoc module of the EU-Labour Force Survey (EU-LFS) about digital platform employment (DPE). The objective is to collect accurate, harmonized data for the timely delivery to Eurostat. In order to reach highest possible data quality, while keeping respondents’ burden at a reasonable level, several conceptual and methodological questions have to be addre

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The project “Implementation of LFS 2026 module on Digital Platform Employment” is an infrastructure initiative in the Government sector, located in Germany. Taiyo aggregates data on it from EU Funding & Tenders Portal.

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Participants

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Status

Original status

ongoing

Taiyo status

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Description

Description

The proposed project will implement the 2026 ad hoc module of the EU-Labour Force Survey (EU-LFS) about digital platform employment (DPE). The objective is to collect accurate, harmonized data for the timely delivery to Eurostat. In order to reach highest possible data quality, while keeping respondents’ burden at a reasonable level, several conceptual and methodological questions have to be addressed concerning, e.g., false positives/ false negatives, translation, comprehensibility, and routing. Therefore, the project includes the following steps: (1) The translation of the model questions into a language that is comprehensible to the respondents, (2) The implementation of check-up questions to reduce false positive replies, (3) The operationalisation of the questionnaire into different interview modes, (3) The technical implementation of the survey, (4) Preparation of the national microdata, and (5) Quality assessment of the methodology and the data. Pilot studies in different European countries have shown the need for a very careful implementation of the module questions to assure a high level of data quality.

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Source

Source reliability

High

Data quality score

100%

Source

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URL

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