One year, with possible extension As data steward, you will be involved in making an inventory of relevant datasets and accompanying metadata on campus, and of metadata schemes and standards that are in use. Your task will also be to clarify conditions of use for these datasets, also in the context of the GDPR, and to create requirement lists and establish prioritization criteria for FAIRification of datasets in HealthyData. Sounds exciting? Join us now!
You will work with health researcher on the FAIRification of their data and the curation and submission of their datasets and associated metadata to the Radboud Data Repository. Further you will work on proposals for defining requirements to other platform(s) for data sharing in HealthyData and work on the definition of a data governance framework for real-world data collected in health care and by citizens.
Tasks and responsibilities
As a data steward, you can be part of this exciting program, bringing and increasing your expertise in mapping, curating and making valuable research data FAIR (Findable, Accessible, Interpretable, Reusable). The position will be embedded in the joint data steward groups of the Medical BioSciences department and the Radboud Technology Center Data Stewardship. We are committed to the reusability of data, tools, and services for researchers, and putting the FAIR data principles into action. The Healthy Data program will closely interact with the national Health-RI program and Radboudumc’s Digital Competence Center to facilitate researchers and healthcare professionals companies in their data-driven research and healthcare innovations.
Radboudumc
Welcome to Radboud university medical center (Radboudumc), where our research groups strive for innovative solutions that make impact on health and healthcare. We challenge the status quo to overcome current and future health challenges. Our goal is to shape the future of healthcare for generations to come. Our focus is on prevention, sustainability, and meaningful care, which we achieve through our in-depth understanding of disease mechanisms, clinical science, public health research, medical technology and data science. Our approach is centered on breakthroughs that can truly enhance personalized healthcare and public health.
At Radboudumc, a comprehensive range of research programs provide the compass for our research efforts. Each program has a clear goal, where collaboration within and outside our organization is highly valued. We integrate care, education and research in partnership with our patients to ensure that our research programs have significant impact on health and healthcare. We invite you to join us in our mission to create a healthy future for all.
Read more about our strategy and what working at Radboud university medical center means. Our colleagues would be happy to tell you about it. #weareradboudumc You hold a master or PhD degree in data science, life science or library science or in another relevant discipline such as communication science, provided the research is centred on an area of data science.
You have proven expertise in a discipline within data science, life science or library science.
You have proven experience in the management of health data and/or the FAIRification of data, harmonisation of metadata schemes, GDPR aspects of research on sensitive data, knowledge about the potential and risks of advanced methods of AI-based data processing and application development, as evidenced by participation in research projects, publications and/or teaching experience. You are well aware of ethical and privacy aspects in this particular context.
You have a demonstrated ability to interact and establish links with other communication science and/or data science subdisciplines.
Any questions? Please contact Prof.dr. Peter-Bram 't Hoen, professor of Bioinformatics, via +31 (0) 23 361 97 63 or by email. Use the Apply button to submit your application.
You will work with health researcher on the FAIRification of their data and the curation and submission of their datasets and associated metadata to the Radboud Data Repository. Further you will work on proposals for defining requirements to other platform(s) for data sharing in HealthyData and work on the definition of a data governance framework for real-world data collected in health care and by citizens.
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You will work as a member of Radboud’s HealthyData program, which offers a campuswide team of colleagues for collaborating on connecting and sharing health-related data and research methods. As such you will contribute to Healthy Data’s work package for data unlocking. You will also directly engage with and support researchers in Radboudumc in their FAIR data management and the data FAIRification process.Tasks and responsibilities
- Support assembly of a Radboud-wide campus inventory of data and metadata schemes.
- Participate and invest in the campus wide network of FAIR data stewards and experts.
- Develop shared work processes and standards in FAIR data.
- Build FAIR expertise among researchers and health care professionals.
- Make stakeholders at national, regional, domain and local levels aware of the motivations for and the importance of FAIR data.
- Engage with clinicians and researchers, and support and train them in FAIR data management and the data FAIRification process.
- Participate in national and international data stewardship discussion groups and coordination and competence building initiatives, such as the rare disease linked data and ontology task force and the data steward interest group run by the Dutch Techcentre for the Life Sciences.
- Contribute to FAIR tooling and infrastructure for specific use cases selected by Healthy Data.
- A gross monthly salary between € 3.230 and € 5.088 (scale 10) based on full-time employment.
- From 1 November 2023 the wages will increase by 4%.
- An annual vacation allowance of 8% and an end-of-year bonus of 8.3%.
- If you work irregular hours, you will receive an allowance.
- As a full-time employee (36 hours per week), you are entitled to approximately 168 vacation hours (over 23 days) per year.
- Radboud university medical center pays 70% of the pension premium. You pay the rest of the premium with your gross salary.
- Diverse and multicultural work environment very open to international colleagues.
- Flexible / Hybrid work possibilities.
- Opportunities to career development and specialisation / learning.
- Access to great network of experts in FAIR principles.
- Empowerment and independence at your own responsibilities.
- Possibility to research and develop / learn at the job.
- You get a discount on health insurance as well: you can take advantage of two group health insurance plans. UMC Zorgverzekering and CZ collectief.
- We provide annual courses, both professional and personal.
As a data steward, you can be part of this exciting program, bringing and increasing your expertise in mapping, curating and making valuable research data FAIR (Findable, Accessible, Interpretable, Reusable). The position will be embedded in the joint data steward groups of the Medical BioSciences department and the Radboud Technology Center Data Stewardship. We are committed to the reusability of data, tools, and services for researchers, and putting the FAIR data principles into action. The Healthy Data program will closely interact with the national Health-RI program and Radboudumc’s Digital Competence Center to facilitate researchers and healthcare professionals companies in their data-driven research and healthcare innovations.
Radboudumc
Welcome to Radboud university medical center (Radboudumc), where our research groups strive for innovative solutions that make impact on health and healthcare. We challenge the status quo to overcome current and future health challenges. Our goal is to shape the future of healthcare for generations to come. Our focus is on prevention, sustainability, and meaningful care, which we achieve through our in-depth understanding of disease mechanisms, clinical science, public health research, medical technology and data science. Our approach is centered on breakthroughs that can truly enhance personalized healthcare and public health.
At Radboudumc, a comprehensive range of research programs provide the compass for our research efforts. Each program has a clear goal, where collaboration within and outside our organization is highly valued. We integrate care, education and research in partnership with our patients to ensure that our research programs have significant impact on health and healthcare. We invite you to join us in our mission to create a healthy future for all.
Read more about our strategy and what working at Radboud university medical center means. Our colleagues would be happy to tell you about it. #weareradboudumc You hold a master or PhD degree in data science, life science or library science or in another relevant discipline such as communication science, provided the research is centred on an area of data science.
You have proven expertise in a discipline within data science, life science or library science.
You have proven experience in the management of health data and/or the FAIRification of data, harmonisation of metadata schemes, GDPR aspects of research on sensitive data, knowledge about the potential and risks of advanced methods of AI-based data processing and application development, as evidenced by participation in research projects, publications and/or teaching experience. You are well aware of ethical and privacy aspects in this particular context.
You have a demonstrated ability to interact and establish links with other communication science and/or data science subdisciplines.
Any questions? Please contact Prof.dr. Peter-Bram 't Hoen, professor of Bioinformatics, via +31 (0) 23 361 97 63 or by email. Use the Apply button to submit your application.
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