Skip to content

Commit

Permalink
Merge pull request #23 from ubvu/jhrudey-patch-1
Browse files Browse the repository at this point in the history
grammatical corrections + consistency updates data-management-plan
  • Loading branch information
Elisa-on-GitHub authored May 3, 2024
2 parents 67a48e1 + 3484297 commit 9123a8c
Showing 1 changed file with 17 additions and 8 deletions.
25 changes: 17 additions & 8 deletions chapters/data-management-plan.qmd
Original file line number Diff line number Diff line change
Expand Up @@ -2,18 +2,18 @@

## What is a DMP

Data Management Plan (DMP) is a document outlining how research data will be handled throughout research lifecycle. A DMP is a structured way to address data collection, organization, storage, sharing, and preservation. It outlines the measures taken to ensure data security. DMP also address how data will be preserved and made available for future use.
A Data Management Plan (DMP) is a document outlining how research data will be handled throughout the research lifecycle. A DMP is a structured way to address data collection, organization, storage, sharing, and preservation. It also outlines the measures taken to ensure data security and addresses how data will be preserved and made available for future use.

## DMPonline

VU Amsterdam offers the online tool [DMPonline](https://dmponline.vu.nl/) for writing Data Management Plans. DMPonline is a platform that offers a range of templates, ensuring that researchers can create DMPs to meet the standards of diverse funders and institutions associated with their projects. The setup of DMPonline makes it easy to work on a DMP together with colleagues, advisors, or other stakeholders. VU Amsterdam researchers can use the request feedback function of DMPonline to get their DMP reviewed by a faculty data steward or RDM Support Desk colleague.
VU Amsterdam offers the online tool [DMPonline](https://dmponline.vu.nl/) for writing Data Management Plans. DMPonline is a platform that offers a range of templates, ensuring that researchers can create DMPs to meet the standards of diverse funders and institutions associated with their projects. DMPonline makes it easy to work on a DMP together with colleagues, advisors, or other stakeholders. VU Amsterdam researchers can use the `request feedback` function of DMPonline to get their DMP reviewed by a faculty data steward or RDM Support Desk colleague.

If you have questions about DMPonline, or encounter problems when using the tool, please get in touch with <rdm@vu.nl>.


## Choosing the right template

Various templates exist in which you can set up your DMP. We strongly recommend you to use the VU template, which is called `VU DMP template 2021 (NWO & ZonMw certified) v1.4`. Below is explained how to use this template. If you need to write a DMP for funding agencies NWO, ZonMw or ERC, you can use the VU template as well.
Various templates exist in which you can set up your DMP. We strongly recommend that you use the VU template, which is called `VU DMP template 2021 (NWO & ZonMw certified) v1.4`. Below you'll find an explanation of how to access this template. If you need to write a DMP for funding agencies NWO, ZonMw or ERC, you can use the VU template as well.

### VU template

Expand All @@ -38,7 +38,7 @@ If you're aiming to write a full DMP based on the VU DMP template, please make s

### Funder template

We recommend researchers to use the VU DMP template whenever possible, especially for researchers who work with personal data. VU DMP template includes questions that serve as input for the GDPR record of processing activities. This means that when you write a DMP based on the VU DMP template, you simultaneousely comply with the VU requirement to register the personal data you use in your research.
We recommend researchers to use the VU DMP template whenever possible, especially for researchers who work with personal data. The VU DMP template includes questions that serve as input for the GDPR record of processing activities. This means that when you write a DMP based on the VU DMP template, you simultaneousely comply with the VU requirement to register the personal data you use in your research.

However, it is also possible to use other templates in DMPonline. If your funder or partner organization requires you to use a certain template, it is possible to select that template in DMPonline. Please follow the steps below to select a funder's template.

Expand All @@ -55,9 +55,18 @@ Researchers who don't work with personal data and who wish to use another DMP te

### How does registration of personal data processing work in research?

If your research is subject to the (GDPR)[eventually link to a GDPR page], then you need to register information on your research in a central VU registry. This central registry lists all personal data processing activities carried out at the VU. The registry indicates why and how personal data are processed, and with whom they are shared. The registry helps organisations to demonstrate compliance with the GDPR and in the case of a data breach, the registry helps with monitoring and acting swiftly to inform all relevant stakeholders.
If your research is subject to the (GDPR)[eventually link to a GDPR page], then you need to register information on your research in a central VU registry. This central registry lists all personal data processing activities carried out at the VU. The registry indicates why and how personal data are processed, and with whom they are shared. The registry helps the VU demonstrate compliance with the GDPR and in the case of a data breach, the registry helps with monitoring and acting swiftly to inform all relevant stakeholders.

For research projects, the VU registers data processing via [DMPonline](https://dmponline.vu.nl/). You can create your registration by logging into DMPonline and following the instructions under “Choose the right template”. Once you get to the two VU templates, you can fill in the VU DMP template if you need to write a DMP anyway and the information you include will be used for the registry. Alternatively, you can use the separate GDPR registration form if you don't need to write a (new) DMP. Your faculty's [Privacy Champion](https://vu.nl/en/employee/privacy-and-information-security/privacy-champions-information) can help you with your registration.
For research projects, the VU registers data processing via [DMPonline](https://dmponline.vu.nl/). You can create your registration by logging into DMPonline and following the following instructions:

1. On your dashboard, click on `Create plan`.
2. Enter the title of your research project (you don't have to select the check box for mock testing).
3. Select `Vrije Universiteit Amsterdam` as your primary research organisation.
4. For the question on primary funding organisation, select the check box on the right, saying that no funder is associated with your plan.

![](../public/dmp-001.png)

Once you get to the two VU templates, you can fill in the `VU DMP template 2021 v1.4` if you need to write a DMP anyway; the information you include in this DMP template will be used for the registry. If you don't need to write a (new) DMP, you can use the separate `VU GDPR registration form for research v1.1`. Your faculty's [Privacy Champion](https://vu.nl/en/employee/privacy-and-information-security/privacy-champions-information) can help you with your registration.

If your research is primarily led by Amsterdam UMC, location VUmc, your research will be registered using their own separate system.

Expand All @@ -67,15 +76,15 @@ If you use personal data in your research, you should register your data process

## What is data

Research data is any information that has been collected, observed, generated or created to validate original research findings. Examples of data could be interview recordings, experiment results, physical measurement, notes from focus group's meetings, notes from fieldwork, observations captured in photographs, film or audio, text files extracted from a corpus, image of archival items or artworks, scraped websites, responses to survey questions. Algorithms, code, scripts and software, simulations are often considered as research data. There is also physical data: samples, collections, artifacts.
Research data is any information that has been collected, observed, generated or created to validate original research findings. Examples of data could be interview recordings, experiment results, physical measurement, notes from focus group's meetings, notes from fieldwork, observations captured in photographs, film or audio, text files extracted from a corpus, image of archival items or artworks, scraped websites, responses to survey questions. Algorithms, simulations, code, scripts and software are often also considered as research data. There is also physical data: (biological) samples, collections, artifacts etc.

Administrative documents, like informed consent forms and key files should be acknowledged as important elements of research data as well.

## Data Assets

[https://libguides.vu.nl/rdm/dmp?#s-lg-box-wrapper-15125649 > Elisa has another look at the table description, because it is quite brief]

Data assets are types of data, information collected or generated in the course of research activities. It is common to provide data assets based on data stage such as raw, processed, or analyzed. Raw Data refers to original data collected, Processed Data is data that has undergone some level of transformation or organization. Processing involves cleaning, formatting, and structuring raw data to make it more understandable and suitable for analysis. Analyzed Data usually results from statistical methods, detailed examination or interpretation.
Data assets are types of data, information collected or generated in the course of research activities. It is common to provide data assets based on the data stage such as raw, processed, or analyzed. Raw Data refers to original data collected, Processed Data is data that has undergone some level of transformation or organization. Processing involves cleaning, formatting, and structuring raw data to make it more understandable and suitable for analysis. Analyzed Data usually results from statistical methods, detailed examination or interpretation.

Here are some examples of data assets in research data management:

Expand Down

0 comments on commit 9123a8c

Please sign in to comment.