Data steward: open science & FAIR data

5 Mar 2024
Job Information

Organisation/Company

Utrecht University

Research Field

Cultural studies

Researcher Profile

Recognised Researcher (R2)

Country

Netherlands

Application Deadline

26 Mar 2024 - 22:59 (UTC)

Type of Contract

Permanent

Job Status

Not Applicable

Hours Per Week

40.0

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

You will work within the research data support department of the Utrecht University Library . Within the UU, as a department we are part of the virtual Digital Competence Centre (DCC), which means you will be in contact with all seven faculties. Partly because of this, it is a job in a dynamic and positive environment and we offer a lot of freedom to plan your working week yourself.

Your job
As research data consultant (data steward), you support researchers from all faculties with various issues concerning their data. These include storage, analysis (which tools are available), privacy and sharing data (making data findable and accessible). Your target group consists of researchers, research support staff and students across all disciplines and faculties.

You will become part of a multidisciplinary network of data experts within Utrecht University and the University Medical Centre Utrecht. Within the library, you will act as a linking pin between researchers and the broad expertise and knowledge of the network. Together with your colleagues, you will further develop the shared service infrastructure. This means that you have good teamwork skills and an open an communicative attitude.

In the coming years, we want to offer more support from the department in order to make datasets more findable, accessible and reusable. We also have more and more questions about privacy and data. You will investigate which questions arise, which tools are already available and, where possible, develop standard solutions that can be used by more researchers. You will work closely with researchers, research software engineers and other data stewards within the university. Where necessary, you will be seconded part-time to a faculty to work on a project in consultation.

In light of open science, there are constantly new dots on the horizon and we have room for this within UU, so in terms of content there is a lot to learn and develop. Because of both these larger issues and the daily tasks within the department, you have a job with a lot of variety.

Requirements
Specific Requirements

Through your experience in academia, you understand the philosophies around open science and are able to advise and support researchers so that they can make their data as interoperable and reusable (FAIR) as possible. You have no problem giving presentations and workshops and are helpful and proactive. This position requires strong communication skills and personal qualities such as: customer-oriented, analytical ability, result-oriented, organisation-sensitive, networker and team player. Except for that:

• You have a Master's degree and at least one or two years of relevant work experience. You have experience with or knowledge of managing (meta)data and/or privacy-sensitive data or are willing to develop yourself further in this area.
• You can work well together with people who have different areas of expertise from you.
• You have average programming skills in R or Python and some experience with Git and GitHub, or you are willing to learn this.
• You master new material quickly and know how to implement this within your own work.
• You have a good command of English. For international candidates, we require a command of the Dutch language (level B2) and a strong willingness to develop this further.
• Knowledge of FAIR principles and privacy legislation is a plus.

Additional Information
Benefits

• an employment contract for 12 months with the prospect of a permanent employment contract;
• a permanent employment contract;
• a working week of 28 hours and a gross monthly salary between €3,226 and €5,090 in the case of full-time employment (salary scale 10 under the Collective Labour Agreement for Dutch Universities (CAO NU);
• 8% holiday pay and 8.3% year-end bonus;
• a pension scheme, partially paid parental leave and flexible terms of employment based on the CAO NU.

In addition to the terms of employment laid down in the CAO NU, Utrecht University has a number of schemes and facilities of its own for employees. This includes schemes facilitating professional development , leave schemes and schemes for sports and cultural activities , as well as discounts on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht University .

Selection process

As Utrecht University, we want to be a home for everyone. We value staff with diverse backgrounds, perspectives and identities, including cultural, religious or ethnic background, gender, sexual orientation, disability or age. We strive to create a safe and inclusive environment in which everyone can flourish and contribute.

To apply, please send your curriculum vitae, including a letter of motivation, via the ‘apply now’ button.

As an organisation, we are committed to inclusiveness and to treating all candidates as objectively as possible. We therefore ask you to make your CV and motivation letter anonymous. In our HR system your documents remain linked to the personal data you enter in the application form, but for the first selection we appreciate a letter and CV in which no or as little personal data as possible can be found.

The first interviews will be held on 8 and 9 April.

Additional comments

For more information, please contact Kim Bergmans (department head of Research Data Support) at [email protected] or +31 (6) 34 19 69 65.

Candidates for this vacancy will be recruited by Utrecht University. Aquisition is not appreciated.

Website for additional job details

https://www.academictransfer.com/338537/

Work Location(s)

Number of offers available

1

Company/Institute

Universiteit Utrecht

Country

Netherlands

City

Utrecht

Postal Code

3584CS

Street

Heidelberglaan 3

Geofield

Where to apply

Website

https://www.academictransfer.com/en/338537/data-steward-open-science-fair-data/…

Contact

City

Utrecht

Website

http://www.uu.nl/

Street

Domplein 29

Postal Code

3512 JE

STATUS: EXPIRED