Data Stewards

Baan gegevens

  • Bedrijf: Maastricht University
  • Plaats: Maastricht
  • Plaatsingsdatum: 15-05-2019
  • Werkniveau: Universitair
  • Werkervaring: 3 t/m 10 jaar ervaring
  • Dienstverband: Vast contract

Algemene omschrijving

Data Stewards (2 x 1,0 fte),

Focusing on coordination and implementation of Research Data Management@University Maastricht

1 year, with possibility of contract for an indefinite period

The Data Stewards will work with researchers to plan and support research data management (RDM). They will do this within the Community of Data Driven Insights (CDDI) to contribute to the aim of the University to have most of the research data FAIR by 2025.
The Data Steward plays an important role in implementing RDM as a regular aspect of research within Maastricht University (UM). RDM concerns all actual data-related activities in any phase of the data lifecycle. He/she will creates awareness and advises researchers on RDM throughout the entire research process from data collection and data cleaning to data analysis, reporting and storage. Supporting the researcher to assure the quality, integrity, and access arrangements of data and metadata in a manner that is consistent with applicable law, institutional policy, and individual permissions.
The Data Steward is the link between the organisations participating in CDDI and the researchers.

Where data management is often limited to the duration of a project, data stewardship encompasses all the actions of data management and activities that make data reusable in the longer term. The goal is that existing data, where possible, be reused. To this end, data must be findable, accessible, interoperable and reusable and permanently safely stored for longer term.

The Data Steward supports individual data intensive research projects, works on data (processing) issues, and gives advice to improve processes. Besides supporting individual research projects, the Data Steward will also help the CDDI with RDM skills support (e.g. training and workshops) and providing RDM tools (e.g. data management plan template) and services on ‘how to use’ (e.g. crafting data management plans, providing support materials via RDM portal) . You also support researchers in a general way in the planning of collecting, managing and publishing data in a FAIR way.


  • One Data Steward will be mainly responsible for Social Sciences and Humanities (the Innercity researchers);
  • One Data Steward will focus researchers at Life Sciences (the Randwyck campus);
  • In daily practice, Data Stewards will work together with multiple experts, faculty based (e.g. information manager, funding advisor, policy advisor) and from central service units (e.g. UL, ICTS, MEMIC, DataHub, and MUO) to support researchers.

  • Advising researchers and working together with partners to implement the FAIR principles across different digital resources;
  • Working with researchers to create high quality data and metadata;
  • Guiding data submissions into appropriate data repositories;
  • Developing audience appropriate talks, courses and workshops;
  • Work with colleagues from Maastricht University and Maastricht University Medical Centre to support the (re)use of research data;
  • Follow trends and developments in the field of research data, linked data, data visualization, machine learning, text and data mining, etc.;
  • Provide analysis and recommendations to the overall strategy of CDDI to become a FAIR university;

Gestelde eisen

  • Experience in research data management, preferably for multiple scientific disciplines;
  • Have a working knowledge of security and privacy measures as it relates to sensitive data. Including knowledge of GDPR legislation;
  • Customer facing skills to prepare discussions with senior staff regarding trade-offs, best practices, project management and reduce risk;
  • Strong verbal and written communications skills;
  • Proficiency of the English language;
  • Proven experience in collaborative multidisciplinary teams;
  • Pro-Active and can work independently;
  • Ability to deliver accurate effort estimates for work;
  • Broad interest in scientific research and in the research process.

Preferred Qualifications
  • Knowledge of /experience with scientific methodology in academia (e.g. PhD degree);
  • Knowledge of / experience with all kind of Data Management related technologies, like storage solutions, RDM tooling, etc
  • Analytic skills: experience with statistical computer program like SPSS, Stata, SAS;
  • Affinity with the basics of one or more programming languages (e.g. Java, R, Python, Scala) and/or semantic technologies is an advantage.


Zie tekst.


€ 2.835 - € 4.274 p/m

Informatie over Maastricht University

Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 16,300 students and 4,300 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience.

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