Maria: I don’t collect data. I generate some synthetic data. And I also use some already 
available data from [a public organisation]. Open source data. Disclosure about the rights. 
Maria: I don’t know what it means. You want to record everything to do. A way to document 
everything in your project. I don’t know how to structure it. I know the faculty has some 
requirements to send information about the project. The PhD position is financed partly by 
Horizon. The project is funded by the EU. Tried to read about it, but realized it’s a formality. 
The eu has some requirement. Don’t know if NTNU has any requirements. We had a 
workshop on open data, how to publish/Archive. I know there’s a data policy from NTNU.  
Maria: I already wrote it and sent it to my project manager. Nothing, except data bases. 
Some of the posters, talks. Industry partners.  
Inga: Do you think it would be a relevant exercise?
Maria: There is a lot of data I generate, but it’s not something I’ll document much, because 
it’s not something that is directly measured. You make a model, and make synthetic data. It 
would be good for trying to replicate your study/project. More than enough to explain the 
method you use, the hardware and software infrastructure, then it’s easy to replicate. Not 
really relevant to this field. It’s more relevant if you were to measure something. If it’s from 
a simulation then it’s sort of irrelevant.  
Maria: I found an email. How would you collect data? How would you store, backup, or deal 
with data. [technology transfer] maybe, I’m careful about approaching, and opening up my 
code. I’m careful about that. Careful due to the project, because there are a lot of people in 
my project who know about it. Things like conferences, papers and so on are in my DMP 
and we present it in supervisor meetings. It’s not as structured obviously. 
Maria: IT's a good thing to start early with it. And then if you have anything interesting to 
share you note it down in Cristin. And that’s nice and structured. Use Cristin and local wikis 
to share. And use GitHub and research data and Zenodo to share findings and so on. 
Datasets in GitHb repositories.   
Maria: Maybe use [technology transfer] and people on the project about ownership, 
copyright, patents and so on.  
Maria: No. I didn’t know they could help. I asked for help regarding publication, and where 
to publish, and they talked about open access, copyright. So I knew they could help, but 
not about this.  
Maria: I would do it if I were required to. Already a lot to do, and hard to fit in another 
document that seems pointless. We have a project description that I like to keep updated. 
But it’s not so detailed as maybe it should be. But a DMP as a good add-on would maybe be 
good. To keep track of what you’ve done. And maybe it should have been done, but a lot of 
things should have been done.  
Maria: Follow UB on innsida, project manager said they could help. Sent them question in 
NTNU Hjelp. And they responded promptly.  
Maria: I don’t know. They’re already doing enough. They organize plenty of things. They’re 
already doing so much. The website could be more clear. Oria [Primo - library search 
engine] is something of a disaster. A lot of unnecessary information there. 
Maria:  Definitely. It could be mandatory. There are a lot of mandatory things, so it would be 
a nice introductory course for the supervisors and the phds, not the senior supervisors, 
maybe. An expert could be on campus, and talk to the new phds and make a course to 
introduce new phds to the concepts, and this could be coordinated by the departement.  
Maria: Quick introduction. Fill inn fields, what should you do, how should I fill it in. Mine 
would be rather short, but people working with sensitive data would have longer plans.  
Maria:  Yes. The more we talk, the more I agree that it’s a good exercise. It replaces a lot of 
micro management young supervisors do in the beginning of a project. It removes a burden 
to a lot of supervisors.  
Maria:  I don’t know if DMP has some kind of recording of previous accomplishments, or 
could you also write about the future? 
Maria: I know there are people who are making new things, in their projects. And include 
feedback from clients. Not only gathering information and data. Keep track also of what 
you’re currently doing, and what you want to do. Including meetings and maybe a calendar 
that is updated in your DMP. I have a meeting with these guys, official meetings and dates. I 
have a lot of notes on my phone, ideas, that don’t have to be public. A column about ideas 
and concepts. That you want to think about. Milestones, dates. A dynamic, alive resource. 
It should be easy to do, once you talk to IT, or AI. A new programming language using LLM. 
Customize it to fill in a data management plan based on people talking about their data 
management. Compress it. Make it at least partially automated. 
Maria: The DMP is more a list of older accomplishments. It’s not so much about new things 
I’m gonna do.  
Maria: No, I think I’ve mentioned everything.