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VACANCY – call for applications RESEARCH MANAGER/DATA MANAGER 2 years

Publié le 22 mai 2025 Mis à jour le 22 mai 2025
 

JOB DESCRIPTION

The selected candidate will be hired as a full-time Data manager at Université Libre de Bruxelles working for the Centre d’études de la vie politique (CEVIPOL) and The Social Study (TSS) 50% and 50% respectively.

As part of the research team based at CEVIPOL, the tasks to be completed will be the following.
 

1. Data Collection & Processing
  • Supervise data collection through questionnaires (TSS)
  • Label variables according to established nomenclature (TSS)
  • Integrate sample weighting keys (TSS)
  • Clean and prepare datasets after collection (CEVIPOL)
  • Pseudonymize/anonymize data to ensure privacy compliance (CEVIPOL)
2. Research Ethics & Compliance
  • Support development of Data Management Plans (CEVIPOL)
  • Prepare ethics approval documentation for the PhiSoc Ethics Committee (CEVIPOL)
  • Define data protection protocols for ULB's Data Protection Officer (CEVIPOL)
  • Verify and forward data linkage requests to relevant authorities (Statbel, Crossroads Bank for Social Security) (TSS)
3. Open Data Implementation
  • Archive data and metadata in the institutional repository (e.g. SODHA) (TSS, CEVIPOL)
  • Make collected data available as open access following appropriate embargo periods (TSS, CEVIPOL)
  • Prepare data and metadata for repository deposits according to FAIR principles (CEVIPOL)
  • Support discussions within ULB regarding Open Data, particularly for qualitative research methods (CEVIPOL)
4. Knowledge Transfer & Promotion
  • Transmit processed data to research teams (TSS)
  • Promote Open Access data to various audiences including researchers, students, and media (CEVIPOL)
  • Potentially serve as a Data Ambassador within ULB (CEVIPOL)

For The Social Study, the selected candidate will be in charge of the preparation of the survey data collected in order to be deposited as scientific use file on an open science data repository. It includes data cleaning, variables labelisation, pseudonymization and weighting. The selected candidate will also be involved in the preparation of ethics approval for the survey fielded within TSS.


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