In this course, you learn the basics of how you can take care of your research data.
Research Data Management Essentials|ACTA-BETA-FGB
Jolien Scholten
Course Description
In this course, you learn the basics of how you can take care of your research data. We will address aspects like storage, archiving, publishing, documentation and how to keep your data secure. The course is aimed at PhD students at the beginning of their research project (± 1st year) from:
• Academisch Centrum Tandheelkunde Amsterdam (ACTA)
• Faculty of Science (Beta)
• Faculty of Behavioural and Movement Sciences (FGB)
The main output of the course is a Data Management Plan (DMP) for your project. If you have a DMP already, you can continue working on this existing DMP. If your existing DMP is complete, specific and up-to-date, there is a possibility to do an alternative assignment.
The course consists of 2 workshops and 1 peer review session. Please make sure that you are able to participate in all three events.
Study Characteristics
* Language: English
* ECTS: 1
* Start date: 16-09-2026 (first workshop)
* End date: 25-11-2026 (est.)
* Self paced: No
* Online
* Academic skill: Research
* Available to: PhD students VU
* Graduate School:
Athena Institute
Behavioural and Movement Sciences
Center for Neurogenomics and Cognitive Research (CNCR)
Chemistry and Pharmaceutical Sciences
Computer Science
Earth Sciences
Ecological Science
Environment and Health
Health Sciences
Institute for Environmental Studies
Mathematics
Molecular Cell Biology
Neurosciences Amsterdam Rotterdam (ONWAR)
Physics and Astronomy
* Discipline: Research Data Management (RDM)
* Min. number of students: 4
* Max. number of students: 30
* Total course duration in hrs.: 28
* Number of lessons: 3
* Anticipated hrs. of study: 23
* Sign up period: (now) – 02:09:2026
* Concluding assessment: Yes
* Assessment type: Review of your Data Management Plan (DMP)
* With certificate: Yes
* Roster/schedule info: 3 scheduled meetings:
Workshop 1: 16-09-2026, 10:00-12:00
Workshop 2: 07-10-2026, 10:00-12:00
Peer review session: 14-10-2026, 13:00-17:00
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Research Data Management Essentials| ACTA-BETA-FGB
Course Description
In this course, you learn the basics of how you can take care of your research data. We will address aspects like storage, archiving, publishing, documentation and how to keep your data secure. The course is aimed at PhD students at the beginning of their research project (± 1st year) from:
• Academisch Centrum Tandheelkunde Amsterdam (ACTA)
• Faculty of Science (Beta)
• Faculty of Behavioural and Movement Sciences (FGB)The main output of the course is a Data Management Plan (DMP) for your project. If you have a DMP already, you can continue working on this existing DMP. If your existing DMP is complete, specific and up-to-date, there is a possibility to do an alternative assignment.
The course consists of 2 workshops and 1 peer review session. Please make sure that you are able to participate in all three events.
Study Characteristics
* Language: English
* ECTS: 1
* Start date: 16-09-2026 (first workshop)
* End date: 25-11-2026 (est.)
* Self paced: No
* Online
* Academic skill: Research
* Available to: PhD students VU* Graduate School:
Athena Institute
Behavioural and Movement Sciences
Center for Neurogenomics and Cognitive Research (CNCR)
Chemistry and Pharmaceutical Sciences
Computer Science
Earth Sciences
Ecological Science
Environment and Health
Health Sciences
Institute for Environmental Studies
Mathematics
Molecular Cell Biology
Neurosciences Amsterdam Rotterdam (ONWAR)
Physics and Astronomy
* Discipline: Research Data Management (RDM)
* Min. number of students: 4
* Max. number of students: 30
* Total course duration in hrs.: 28
* Number of lessons: 3
* Anticipated hrs. of study: 23
* Sign up period: (now) – 02:09:2026
* Concluding assessment: Yes
* Assessment type: Review of your Data Management Plan (DMP)
* With certificate: Yes
* Roster/schedule info: 3 scheduled meetings:
Workshop 1: 16-09-2026, 10:00-12:00
Workshop 2: 07-10-2026, 10:00-12:00
Peer review session: 14-10-2026, 13:00-17:00