Merge pull request #8 from ubvu/fix/2

Add DMP chapter

_quarto.yml

@@ -25,7 +25,7 @@ book:
     - index.qmd
     - part: "Chapters"
       chapters:
-        - chapters/example.qmd
+        - chapters/data-management-plan.qmd
     - contributing.qmd
     - references.qmd
 

chapters/data-management-plan.qmd

@@ -0,0 +1,119 @@
+# Data Management Plan
+
+## 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.
+
+## 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.
+
+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.
+
+### VU template
+
+You can find the VU DMP template in [DMPonline](https://dmponline.vu.nl/). It includes concise guidance on how to complete your DMP.
+
+You can select the VU template by taking the following steps (see also the picture below).
+
+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.
+
+Note: Follow these steps as well if you receive funding from NWO or ZonMw (see also below).
+
+![](../public/dmp-001.png)
+
+### GDPR registration form
+
+If you're aiming to write a full DMP based on the VU DMP template, please make sure you don't select the GDPR registration form. 
+
+![](../public/dmp-002.png)
+
+### 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. 
+
+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.
+
+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. In the field under `Select the primary funding organisation`, start typing the name of your funder and select their template.
+
+![](../public/dmp-003.png)
+
+Researchers who don't work with personal data and who wish to use another DMP template than the VU template, can also follow the steps above.
+
+## Register your processing activities [(On the GDPR & Privacy page)](https://libguides.vu.nl/rdm/gdpr-privacy?#s-lg-box-wrapper-15125651)
+
+### 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. 
+
+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. 
+
+If your research is primarily led by Amsterdam UMC, location VUmc, your research will be registered using their own separate system.
+
+### Register before you start your data collection
+
+If you use personal data in your research, you should register your data processing activities before you start data collection. If you are not sure whether your research data are subject to the GDPR, contact your faculty's [Privacy Champion](https://vu.nl/en/employee/privacy-and-information-security/privacy-champions-information). Your privacy champion can also assist you if your research is already running, but has not yet been registered.
+
+## 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. 
+
+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.
+
+Here are some examples of data assets in research data management:
+
+| Data Stage     | Dataset description         | Type of data    | Format |
+|----------------|-----------------------------|-----------------|--------|
+| Raw data       | Interviews                  | Audio files     | MP3    |
+|                | Spectographic analysis      | Text files      | CSV    |
+| Processed data | Transcription of interviews | Word files      | Docx   |
+|                | Data spreadsheet            | SPSS files      | SAV    |
+| Analysed data  | Regression graphic          | Photoshop files | PSD    |
+|                | Data table                  | Word file       | Docx   |
+| Other          | Poster presentation         | Powerpoint      | PPS    |
+|                | Project Website             | HTML            |        |
+
+## DMP Elements
+
+[this is in the guidance on DMPonline, but we use this as a place where we can refer to ethics committees, privacy champions, etc. Make it clear that there is not necessarily a set order - sometimes there is, e.g. a DPIA may follow after a pre-DPIA indicates that]
+
+The VU DMP template consists of seven sections with questions. In DMPonline, there is guidance available for all sections, as well as example answers. When you are writing your DMP, you can consult this information directly in DMPonline.
+
+### Data description
+
+### Legal and ethical requirements, codes of conduct
+
+If you have questions about working with personal data in research, please get in touch with the Privacy Champion of your faculty. The [overview of Privacy Champions](https://vu.nl/en/employee/privacy-and-information-security/privacy-champions-information) can be found on the VU website.
+
+Ethical aspects of research should be addressed in the ethics procedure of your faculty. Each faculty has their own ethics committee. The webpages of all committees are listed below.
+
+* ACTA: [ACTA Institutional Review Board](https://acta.nl/en/research/more-about/acta-institutional-review-board-irb) (IRB)
+* Beta: [Research ethics review committee Faculty of Science](https://vu.nl/en/about-vu/faculties/faculty-of-science/more-about/research-ethics-review-committee-beta) (BETHCIE)
+* FGB: [Scientific and Ethical Review Board](https://vu.nl/en/employee/behavioural-and-movement-sciences-getting-started/the-scientific-and-ethical-review-board-vcwe) (VCWE)
+* FGW: [Ethische Toetsingscommissie Onderzoek](https://vu.nl/en/about-vu/faculties/faculty-of-humanities/more-about/research-ethics-and-integrity) (EtCO)
+* FSW: [Research Ethics Review Committee](https://vu.nl/en/employee/social-sciences-getting-started/research-ethics-review-fss) (RERC)
+* RCH (Faculty of Law): [Ethics Committee](http://www.rechten.vu.nl/en/about-the-faculty/committees/ethics/index.aspx)
+* SBE: [Research Ethics and Integrity](https://vu.nl/en/about-vu/more-about/research-office)
+* VUmc: [METc](https://www.vumc.nl/research/overzicht/medisch-ethische-toetsingscommissie.htm) (Medical Ethical Review Committee)
+
+### Storage and backup during the research process
+### Data archiving and publishing
+### Documentation
+### Data management responsibilities and resources