What should I do when leaving VU Amsterdam?
Offboarding
When leaving VU Amsterdam, you are likely to leave behind project-related data. This data needs to be archived and be accessible for other researchers for verification of research data. This is also an important step in complying with regulations of funding organisations. Furthermore, researchers who remain at VU Amsterdam may want to use your data in the future. To facilitate this, we provide a template to fill out that can be handed over to your manager.
Furthermore, for removing data, it is important that you make clear which data can be removed. If this is not done, it remains unclear to your department/manager whether the data can be removed in accordance with agreements with research funders (e.g., Dutch Research Council, NWO) and privacy laws (e.g., General Data Protection Regulation, GDPR).
Note: this is a general template and the process may vary from department to department. Therefore, we recommend that you check with your department if any department-specific workflows are in place.
Contact Information
| Field | Details |
|---|---|
| Name | |
| New email | |
| VUNETID |
Important Data
Dataset/Software #1
| Field | Details |
|---|---|
| Title of dataset/software (if applicable) | |
| Description (can point to existing metadata). Think about structure, hierarchy etc. | |
| Location (e.g., URL, SciStor, Yoda) | |
| Software to read data | |
| Future contact(s) (e.g., you, someone else at VU) | |
| Licence | |
| Privacy issues (if any) | |
| Other (e.g., password protection, special storage instructions, data co-ownership) |
Dataset/Software #2
| Field | Details |
|---|---|
| Title of dataset/software (if applicable) | |
| Description (can point to existing metadata). Think about structure, hierarchy etc. | |
| Location (e.g., URL, SciStor, Yoda) | |
| Software to read data | |
| Future contact(s) (e.g., you, someone else at VU) | |
| Licence | |
| Privacy issues (if any) | |
| Other (e.g., password protection, special storage instructions, data co-ownership) |
NOTE: In case you have more datasets, please copy the table above as many times as needed.
Data Removal
I declare that all important data was archived (see above), and my account and associated data can be removed on the following platforms:
Archiving data is a relatively long-term solution, but even archived data has a lifespan (e.g., Yoda data will be removed after 10 years by default). What should happen when data is due for removal from the archiving platform?
-
- Name:
- Position:
- Department and faculty:
- Email:
Date, and location:
Signature: