writing-a-dmp-fgb-beta-2024-2
Jolien Scholten
Course Description
In this course you learn how you write a good Data Management Plan (DMP) for your research project, in which you discuss:
- which laws and codes of conduct your research should comply with,
- where you are going to store your data,
- where you are going to archive them for the long term,
- how you can make them FAIR (Findable, Accessible, Interoperable, Reusable).
The course is aimed at PhD students at the beginning of their research project (± 1st year) from the Faculty of Behavioural and Movement Sciences (FGB) and the Faculty of Science.
The course consists of 2 online workshops and an online peer review session. Please make sure that you are able to participate in all three events.
Study Characteristics
- Language: English
- ECTS: 1
- Academic skill: research
- Start date: 29:08:2024
- End date: 19:12:2024 (est.)
- Self paced: no
- In class/online: online
- 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: (11:07:2024) – (22:08:2024)
- Concluding assessment: yes
- Assessment type: Review of your Data Management Plan (DMP)
- With certificate: yes
- Roster/schedule info:3 scheduled meetings:
3 scheduled meetings:
Workshop 1: 12-09-2024, 14:00-16:00
Workshop 2: 03-10-2024, 14:00-16:00
Peer review session: 10-10-2024, 13:00-17:00
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Writing a DMP | RCH | 2022-1
Course Description
In this course you learn how you write a good Data Management Plan (DMP) for your research project, in which you discuss:
- which laws and codes of conduct your research should comply with,
- where you are going to store your data,
- where you are going to archive them for the long term,
- how you can make them FAIR (Findable, Accessible, Interoperable, Reusable).
The course is aimed at PhD students at the beginning of their research project (± 1st year) from the Faculty of Behavioural and Movement Sciences (FGB) and the Faculty of Science.
The course consists of 2 online workshops and an online peer review session. Please make sure that you are able to participate in all three events.
Study Characteristics
- Language: English
- ECTS: 1
- Academic skill: research
- Start date: 29:08:2024
- End date: 19:12:2024 (est.)
- Self paced: no
- In class/online: online
- 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: (11:07:2024) – (22:08:2024)
- Concluding assessment: yes
- Assessment type: Review of your Data Management Plan (DMP)
- With certificate: yes
- Roster/schedule info:3 scheduled meetings:
3 scheduled meetings:
Workshop 1: 12-09-2024, 14:00-16:00
Workshop 2: 03-10-2024, 14:00-16:00
Peer review session: 10-10-2024, 13:00-17:00