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The Research Data Officer (RDO) is responsible for building and managing the Research Data Ecosystem of the consortium. The RDO is a member of the extended management team of NCCR AntiResist and a member of the Data Management Committee of NCCR AntiResist. The research data of the project will be distributed on a heterogeneous set of existing, and possibly some new data management systems for different types of data (microscopy, next-generation sequencing, proteomics). In collaboration with data providers involved in the project (e.g., technology facilities across the consortium) and with scientific IT platforms at the University Hospital Basel (USB) and University of Basel (sciCORE)), the RDO and the Medical Data Officer (MDO) will coordinate the Data Management Committee to develop and maintain an environment supporting data federation (e.g., cross-linking identifiers at the various service platforms and/or linking data hosted in local data management systems).
Key responsibilities include, but are not limited to the following:
- Together with the MDO, the RDO develops the Research Data Management Strategy (RDS) according to institutional and funder's guidelines. The RDO and MDO represent the RDS internally (e.g. towards the AntiResist Management) as well as externally (e.g. annually towards the Swiss National Science Foundation (SNSF)).
- The Research Data Officer and the Medical Data Officer coordinate closely in cooperation with the data stakeholders for the implementation of processes and standards.
- Designs and implements the data management environment of the project (database “crawlers” and “scrapers”, monitoring availability of data in federated systems, etc.), with support from software-developer capacity made available through funding of the project.
- Builds and maintains an overview of the data flows in the project.
- In collaboration with institutional technology facilities and their data repositories, sets-up and maintains an overarching database to host and inter-link research data (data federation).
- Develops ETL/ELT scripts tailored to different subject specific databases that store the data generated in the AntiResist project.
- Collaborates with the MDO to merge clinical and experimental research data (different sources, different formats).
- Ensures integrity of the research data and monitors AntiResist scientists for compliance with documentation and sharing policies according to the FAIR principles.
- Assists researchers with data annotation and transfer.
- Assists and proposes metadata schema for the specific data types produced in the project.
- Promoting internal and external data compatibility and data portability in the AntiResist project.
- Ensures that the data reported in the NCCR AntiResist scientific publications comply with the SNSF open science policies.
In execution of these functions, the RDO deals with the data produced by the non-clinical part of the consortium and works with the MDO to merge this data with clinical data. The aim of the consortium is to manage the data according to the FAIR principles (findable, accessible, interoperable, reusable).
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