Vacancy - Data Steward / Data Manager

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Felix Emeka Anyiam

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Nov 22, 2025, 1:10:30 AM (12 days ago) Nov 22
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Data Steward / Data Manager

  • Personal type:Professional staff

  • Field of expertise:IT

  • Organisation:Library and Information Services

  • Apply before: 19-12-2025

  • Full-time equivalent:0.8 - 1.0 FTE

  • Salary: € 3.546 - € 6.433

Societal challenges demand new knowledge. It is the task of the TU/e to develop this knowledge by adapting and changing research and education. At Library and Information Services (LIS) we look ahead, together with our scientists and students, and constantly provide the best possible library and information services to enable the creation of this new knowledge.

Introduction

Would you like to work on shaping tomorrow’s world? Contribute to groundbreaking innovations in technological knowledge? Are you a Data Steward or a Data Manager but also a team player who feels at home in an international and interdisciplinary environment? Then we are looking for you! 

Job Description

About the organization 
Eindhoven University of Technology (TU/e) is an internationally oriented research university, specializing in engineering, science & technology and is known for its large scientific impact and its role in developing technological innovations. TU/e is a university at the center of society and sets its focus on complex social challenges by concentrating its education and research on three Strategic Areas: Energy, Health, and Smart Mobility. 

An ambitious university requires dedicated support to our scientists within the fields of Research Data Management (RDM) and Open Science. This support is provided by the Library and Information Services (LIS), specifically through its product area Research. Within this area, multiple teams closely collaborate with each other and with researchers to support them in research data management, IT solutions, and computational needs.

The position 
You will have a dual role – data steward (within Data steward team) and a data manager (within Research Data Literacy and Curation team). Data steward team vision is to help researchers with new challenges in a collaborative way, while being an advocate of open & responsible scientific practices that transcend TU/e. Research Data Literacy and Curation (RDLC) team is developing data solutions for long-term preservation of research data, such as archive and internal repository. As a Data Manager, you will support researchers across TU/e from various scientific departments. 

We are looking for a Data Steward/Data Manager with good understanding of research data management, research data lifecycle, research data infrastructure, and privacy and ethics in research. You will serve as first-line support for researchers in addressing these questions. 

Your tasks and responsibilities are best described as follows: 

Support and advise our Researchers on RDM-related issues, such as:  

  • Data Management Plans (DMP); 
  • Data management paragraphs for grant proposals; 
  • Collection, storage, publication and archival of research data; 
  • FAIR principles in research data, focusing on interoperability; 


Support and advise Researchers on privacy-related issues, such as: 

  • Informed consent and privacy notices; 
  • Evaluating privacy roles within research collaborations and consortia and identifying the needed agreements and documents; 
  • Assessing privacy and legal risks (including copyright and licensing) during the entire research lifecycle; 
  • Data Protection Impact Assessments (DPIA) in collaboration with the Privacy team; 
  • Develop and provide trainings on RDM and privacy/GDPR compliance. 


Support for Reseach Archival Package Solution (RAPS):  

  • Evaluating requests to archive or retrieve the data package, according to established administrative procedures. 
  • Assisting RAPS users throughout archiving process. 
  • Checking the completeness and quality of the data package. 
  • Actively contributing to optimizing the archiving process, guidelines and RAPS. 
  • This support for RAPS relate to TU/e in general and not only for your specific scientific department. 


Support and collaborate with multiple teams within LIS and your scientific department, such as:  

  • Being part of the departmental support Hub-, data steward-, RDLC- team; 
  • Achieving team objectives by working together with others; 
  • Establish a functional and appropriate services supply chain for researchers in coordination with colleagues of the LIS- product area Research. 

Given the dual nature of this position, we provide an example of what a typical week might look like (please note, this is only indicative). 

  • Monday (on TU/e campus): You will be based at the scientific department (Built Environment). Activities include bi-weekly Hub meetings (the Hub is a departmental support unit for researchers) and a monthly meeting with the Research Development and Support Office to review current developments, your departmental activities, and any collaborative assignments. In the afternoon, you may visit a researcher seeking advice on data sharing within their consortium and address general research data management questions.
  • Tuesday (on TU/e campus): You will work with the RDLC team, contributing to broad research data lifecycle topics, including RAPS and the data curation process.
  • Thursday (on TU/e campus): You will collaborate with the Data Stewards team. While you have dedicated time for your own tasks, you will also participate in team meetings to discuss common topics and share knowledge and ideas.
  • Wednesday and Friday: You have the option to work remotely. 

Throughout the week, you will receive requests related to your dual role as Data Steward and Data Manager. These will be addressed based on priority, and you will have flexibility in organizing your work. 

Job Requirements

We are looking for a new colleague with the following qualifications and characteristics: 

  • An academic level of work and thinking, preferably a completed Master or PhD in the technical or medical sciences, and an affinity with research practice; 
  • Proactive and result-oriented attitude. You gain energy from pioneering and collaborating within a relatively new field of work in support of scientific research; 
  • You have the ability to easily assimilate knowledge, and are not afraid to learn on the job; 
  • You are skilled in transferring and sharing knowledge to staff, students, junior researchers, and senior researchers; 
  • Ability to connect and translate various requirements (i.e. legal, policy and technical) into solutions and best practices, with regards to RDM and data stewardship; 
  • Customer-oriented and supportive way of working, you gain energy from supporting and solving issues for others within the organization; 
  • Networking skills and you feel comfortable with connecting people and building networks; 
  • Excellent communication and negotiating skills, and you are able to be authoritative when the situation requires it; 
  • You have excellent English language skills, both verbally and in writing. Proficiency in the Dutch language is not a requirement, but it is an advantage. 
  • You are able to work on-site at the TU/e campus at least three days per week; therefore, residing within reasonable commuting distance. Note, occasional exceptions will be fine. 

Preferably you have: 

  • Experience in handling privacy-sensitive data and knowledge of GDPR, and/or willingness to develop yourself further in this field. 
  • Experience in or a demonstrable affinity with RDM and data stewardship within higher education or a research institution. 
  • Knowledge which will contribute to applying FAIR principles to research data. 

Conditions of Employment

An exciting position within an international yet personal university. You are right in the middle of the students, on a green campus within walking distance of the central station. Besides beautiful architecture, you will find varied workplaces and excellent sports facilities. We also offer you:

  • A monthly salary of minimum €3.546,- to maximum €6.433,- for full-time employment, depending on your knowledge and experience (scale 10/11 collective labour agreement for Dutch Universities).
  • In addition to vacation pay, a structural end-of-year bonus of 8.3%.
  • A favorable arrangement for more holidays or a sabbatical.
  • A selection model for additional fringe benefits.
  • Working hours in consultation for an optimal work-life balance.
  • Scope for your talent with advancement prospects and excellent development opportunities such as mentoring, workshops and coaching.
  • Partially paid parental leave and reimbursement for commuting expenses, working from home and the internet.
  • A generous employer contribution to the favorable ABP pension plan.

Here you can discover even more information about our conditions of employment. Build on your career at TU/e!

Information

If you have any questions about the content of the position, please contact Liz Guzman-Ramirez, Team Lead of the Data Stewards l.guzman...@tue.nl and/or Adelya Doudart de la Gree, Product Owner of the Research Data Literacy and Curation team a.doudart....@tue.nl 

For more information about this vacancy, please contact our internal recruiter: Rob van der Linden, r.m.e.v....@tue.nl or +31 (0)6 395 82 273. 

Are you inspired and would like to know more about working at TU/e? Please visit our  career page. 


Application

If you are interested, please use the ‘apply’ button to send us your CV and letter of application with your motivation and a description of your qualifications. 

An assessment test may be part of the job application procedure. In the assessment test we will focus on your written and verbal communication skills (e.g., in the form of a writing assignment and presentation). 

Screening of candidates begins as soon as applications are received and continues until the position is filled. Where applicable, internal candidates will be given priority over external candidates where they are equally suitable. 

We look forward to receiving your application!

Please note 

  • You can apply online. We will not process applications sent by email and/or post. 
  • A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
  • Important for non-EU applicants: Please be aware that for this position, specific residence permit requirements apply. If you are a non-EU national, you may not be eligible to legally work in this role under current Dutch immigration regulations. We strongly advise you to contact our Staff Immigration Team (staffimm...@tue.nl) before applying to check your eligibility and to receive further guidance.
  • Please do not contact us for unsolicited services. 

 

Reference number: 2025/574


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Felix Emeka Anyiam (MPH,MScPH,DataSc.)

Research & Data Scientist

Centre for Health & Development | University of Port Harcourt, Nigeria (https://www.uniport.edu.ng/)

Member, the PLOS ONE Editorial Board: https://journals.plos.org/plosone/static/editorial-board

Member, Statistics Without Borders/American Statistical Association: https://www.statisticswithoutborders.org/

Member, RDA COVID-19 Working Group: https://www.rd-alliance.org/node/68704/members

Certified in: Digital and Computational Demography (Max Planck IDR, Germany), Global Health (Barcelona Institute of Public Health), Scholarly Communications (FORCE11, USA), Grant Writing (Gothenburg, Sweden), Advanced Bio-statistical Methods (Brown University, USA; Moi Kenya), STI/HIV Research (Washington, USA), Data Science (Trieste, Italy)

Expert grant reviewer/evaluator: Association of Commonwealth Universities (ACU), Research Data Alliance (RDA)

+2348064995462
felix....@uniport.edu.ng
http://orcid.org/0000-0003-2774-7406
Initial Lead, CODATA Connect [https://codata.org/initiatives/data-skills/codata-connect/members/], AuthorAID Stewards Team [https://www.authoraid.info/en/about/authoraid-team/]

"
To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of." -Ronald A. Fisher

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