INGA: Yeah. Okay. And have you started to collect data or generate data? Yeah. So what kind of data are you collecting? HÅKON: I'm doing interviews and observations. So I am now in [country]. I've been for more than a month. And I email people and try to have answers. I go to events and try to talk to people. So it's kind of a long and boring process. It's not very rewarding. I talk to people that I know, people that I meet. I sneak into conferences. I go to cultural events and the like. INGA: And are you... you're not done collecting data? Are you collecting more or? HÅKON: I mean, it's just a month. So yeah. INGA: Yeah. Fair enough. Yeah. So what comes to mind to you when you hear the term data management plan or DMP? HÅKON: Boring. That's what gets to my mind. I don't know, it's not… I don't feel like when I studied, when I was an actual student, it was so important. It was more about like ethics and like protecting your sources and stuff like that. And when I started working with a [consultant] before, we had a lot of training about like data protection and stuff like that. So I don't know if there's a difference. There's probably a difference between the before and after GDPR because I remember that when I was a civil servant, we had to change the way we were handling personal data. And we had more stricter procedures and everything. But I don't know. Nobody asked me to fill a data management plan when I was a master's student 10 years ago. INGA: If you were to define a data management plan, what do you think it means? Like how would you define it to someone else? HÅKON: Well, I only know the ones I've been working with, which is like it's a plan where you explain how you're going to store data, how you're going to collect the data, and what kind of protection and security you're supposed to adhere by. I know that, because I'm working both within a larger project that has a lot of different researchers, and my own research project is a PhD, and I know that none of them have read the data management plan, which is... which is like a decent data management plan for the largest project. I mean, I only did mine on the SIKT website. I mean, yeah, it's boring to fill in, but it's like one day of thinking about it and then you kind of file it in. It kind of... I don't know. I have mixed feelings about the data management plan that we are forced to, like submit to Sikt. One is that, as always in Norway, it feels like if you don't ask any question, it's less trouble than if you actually want to do things by the book. Because when you follow all of the rules, it's very annoying and you only lose time. But I find that the interface is not too burdensome to fill out. My thing is that it's not super clear. And what ended up happening in my case is that I had days of back and forth with a counselor who basically just like rewrote like a quarter of the data management plan for me. Asking questions like, oh, you put in the data management plan that you want to store your data at Sikt when it's done. And I was like, yeah, I read that on your website. I said, ah, we don't do that anymore, which is another great Norwegian thing, which is like the English-speaking websites that will not update the time management plan. It wasn't possible anymore. So when people ask you about that, you're just like, I don't know, what do you want me to write? And then they basically choose for you what you're supposed to put in the data management plan. It feels more like a hindrance than anything else. It kind of makes you think about some dimensions of security that you might have forgotten about, but that's about it. So yeah, the good thing is all of the bureaucratic things don't really seem engaging or interesting, and I know a lot of researchers will do it just to get rid of it. But on the other side of the coin is that it kind of forces you to ask questions about what you're going to do with the data you're collecting and how you're going to handle it. INGA: Yeah. So what do you know about any requirements that you have to write a data management plan? HÅKON: I just followed the form personally. I know there's like other ways of doing it, but giving you a form, so I just followed the form. INGA: Do you remember who told you about data management plans? Was it a supervisor or someone at Sikt? HÅKON: I don't know. It feels like something most big research projects have. So, I mean, it was part of the... There was a concept that we had, like, there's a thing that we called the data management plan. It was mostly like a concept, a proof of concept. Anything else? It didn't have like actual very defined procedures with like little... Anyway, what we did with the concepts when we turned it into like a big document about how we were supposed to like proceed with all the data we collected. To me, that looked more like a data management plan. So I feel like in my case, personally, there's a confusion as to which one is supposed to be a data management plan and which one is supposed not to be. Because there's the thing in theory that you do, and then there's a series of procedures that you give to your researchers. I don't know which one is supposed to be the data management plan. There's a bit of confusion. Yeah. INGA: Yeah, so I understand that. So before we carry on, I'd describe how NTNU defines it. And basically, so we know that we're talking about the same thing. So a DMP is a document that describes how data in a research project should be handled from start to finish and then throughout the entire process. and after the end of the project. So how you'll archive data, for example. And then a DMP describes what data is collected or generated, deals with how the data will be stored, described with metadata, analyzed, and possibly shared. And then it's not the same thing as the notification form that you send to SIKT, but it's its own document that you can update and change if you need to. So that sounds... HÅKON: That's another question. I'm talking about the fact that in my project, we had a data management plan, something that was called a data management plan. INGA: Yeah. HÅKON: And it was extremely vague. And I was like, oh, we could use this software or maybe this software. And it wasn't clear what people had to do. And the more practical version that we did with the data management data was one of the different projects we had to create like a more streamlined, and clear version of what you're supposed to do with the data. To me, that looked more like a data management like the concept. And I mean, you should put them together. In general, this is how we think it's going to be theoretically, and practically, this is how you're going to do it. The data management plan, the notification form, that's another question. I did both through SIKT. But yeah, I'm going to be honest with you, I barely remember what I did in the notification form. Because I did it earlier than the data management plan that I did before going into feedback. INGA: So you found it sort of like a, I don't… I guess, irritating exercise because you didn't really understand the... I don't know. It sounds like it was some amount of confusion in... what the point was and how HÅKON: exactly but also it's a form so you just click yeah put a thing and write little sentences and you're done with it and then you have to maybe like answer a few emails so it's annoying but you do it and then you forget about it yeah which is also kind of bad because I mean I don’t want to forget about a kind of procedure I should be going through uh which is you know systematically encrypting information, that kind of stuff, which to me is more practical and more useful to my kind of work. INGA: Yeah, so you haven't gone back and looked at what you wrote in the DMP and then thought, oh, I should update this? HÅKON: Before today, no. INGA: No. Okay. HÅKON: Really, it's a thing that you do, you type in what you have to type in uh and you go on with your day yeah don't try to lie or anything but now again it feels like if you are too thorough they're just going to ask you more questions and be annoyed about it. If you try to be a good citizen, say everything, and then try to be hyper-constructive and everything, it feels like, again, if you're doing an effort, you reward it with more burdensomeness. So you put as little information as possible, you take what you have to take, you choose the easiest answers you can choose, and that's it. INGA: Okay. HÅKON: especially if you're doing something that's a very qualitative kind of fieldwork. How can you think about what kind of license or anything you're using? You've never thought about that. My data is me scribbling in a notepad and having a few recordings on a recorder. then I'm going to raise to protect the identity of the people I've recorded. Yeah, don't think about all of these dimensions when I kind of think of the best way to do my field work. INGA: I understand. Yeah, so did you have people in the project with you that already knew how to write a data management plan or that already knew that was something that you should or had to do? HÅKON: Not really, no. We had someone who was like an ethics advisor, but she doesn't really know how you're supposed to write the data management plan for the Norwegian states. She's someone who's used to working within European projects. So, yeah, she could advise us on which is considered GDPR compliance. But I think it's not a data management plan for the Norwegian state. No, never done that kind of stuff. INGA: No. So, have you... Do you know anything about the resources that NTNU might have to help you with data management and writing in DMP? HÅKON: About the writing? No, not really. I know about the resources they have for data management, but not with the writing. I think they have a few advisors that you can email and... It's a big institution, so you don't know where they are. Again, you can't just go into someone's office and ask them a question. You have to go through an email, then you have to wait for them to, if they kind of desire, they answer. And my impression is that they were not that well prepared to... to answer our questions. They kind of had to learn a bit and update what they knew. And it's not like we sent them questions, then we had all of the answers back. It's more like we notified them and then we did some back and forth and then they kind of understood the thing with us and like clarified some stuff for us. Yeah. INGA: Do you remember? HÅKON: But it wasn't like, I'm sure they know because it was when the supervisor was more in touch with them. INGA: Yeah. Sorry. So it does feel like a lot of the PhDs don't really know about the resources. Do you have any thoughts on how, because the university library does have resources on how to help with data management and DMPs. Do you have any ideas on how the library could reach the PhDs more effectively with information like that? HÅKON: Talk to them. But like physically talk to them if I'm at work and then I receive like an email entirely Norwegian half of the time I'm just not going to read it personally because if people want to read to me they know they should not write to me in Norwegian they should like use another language or anything and because a lot of what's written in Norwegian is like management stuff or like I don't know unions you know not really seeing either I care about or I could have like a small impact, I’m abroad a lot of the time. So it's not like I engage with management in the department, you know? INGA: No. Do you think that you would, if you were to write a new data management plan at some point, would like to attend a course on how to write one to get sort of like an introduction to how to write a data management plan? HÅKON: Not really, because again, the Sikt form is extremely easy to go through. It's very clear, except for a few things that don't always make sense for people who are not privy to how data and stuff works. I mean, if you don't have to do health research and medical research, it's kind of not that difficult to do the data management plan through the SIKT website. If I had to do it without it, I think I would still take a look at the SIKT website to be sure that I have everything I need on my document. INGA: Yeah, okay. Do you think that there's any way that a data management plan or writing one could be a good useful exercise for you? HÅKON: not more than what I talked about, but the fact that it kind of forces you to think about a few details you may not have thought about. My problem is that, like, you do it before you go into field work, so... A lot of the times, you don't know anything about what you're going to do in field work, you know? You kind of... They ask you about the questions that you're going to ask people. I don't know what kind of question I'm going to ask people. I'm sitting with a lot of people and I'm asking them what they do in life and then trying to take the conversation where it's going. I don't have a list of questions I'm going to ask people. It's like the kind of methodology I'm using; it's an expert interview, so it's not like you sit with a bunch of random people and then ask them what they think about, I don't know, this thing, this thing, this thing. Talking to people like [specific groups of people]. And they talk and ask them questions and write down what interesting thoughts they have. So yeah, for example, they want you to send an interview stuff. So you just make a fake one and send it. Like some of the stuff that you may be asking, but… never used it, like I've never used any of this question on this form because it's kind of absurd. But yeah, the advisors, yeah, asked me questions about that fake interview form that I sent. It seems like you're going to ask [sensitive] questions that they say. And I mean, I'm doing a PhD in [about sensitive subject], so yeah. INGA: Yeah. Do you think that there's any way of making the DMP more sort of useful as an exercise? Do you like, you could change it somehow or change the process somehow? HÅKON: Honestly, I don't know, because again, I'm more interested in process. It's like the process of data management itself rather than thinking about archiving and the kind of license the data is under. So how do you collect the data? How do you encrypt it? How do you cross international borders with it? How do you store it without it being accessible by anyone? You know, bread and butter stuff. Within a project, it Again, we're in the middle of it and some colleagues have asked how they were supposed to treat interview data there, record it. They never read the data management plan that's online for everyone to access in the Teams that we use for the project. And some of these people could have their computers being accessed by the government because we're working with people from different countries, including somewhere that's a bit of repression towards the kind of people we're working with. So I don't know. Some of the questions kind of feel like it's led to my particular situation. I mean, it's a form that's supposed to be for everyone. So a lot of things about, again, medical data that I'm not supposed to look into. INGA: Yeah. Is there anything about the data management process that you find more valuable or interesting to think about? HÅKON: Yeah. The thing is, I don't feel like the data management or... data management plan or the different resources I've found on the university website and on the state website about the best way to secure data and everything. I still have a lot of questions that are not answered because it's not super clear. A lot of the time it's not super clear and you have information that's online that can be contradictory. So what you do is that you default to, okay, let's have the baseline higher level we can have for everything. And not go into the difference between personal data and sensitive data, for example. So I put all of my project on level three and I encrypt everything regardless of what's inside. Regardless of the consent of the people and telling them it's going to be anonymized so I don't have to think about it because it's... Like, not clear. But yeah, every data I get is anonymized, untraceable, and everything is encrypted and then will be deleted. So I don't have to think about, like, the different little nuances that you had. You're supposed to, like, understand between, like, the four levels of sensitivity and stuff like that. Sensitivity. INGA: Yeah. Yes. think that's we're nearing the end um are there any sorry restart site is there anything else about uh data management plans that I haven't asked you about that you have any thoughts about and would like to say anything about not really uh again I haven't thought HÅKON: about the data management plan and I'm checking when I filled it in uh I think in April yeah I haven't thought about it since yeah INGA: Do you think there's anything that would make rating a DMP server more relevant to you or attractive? Interesting? HÅKON: I don't know. I don't think it's supposed to be attractive or interesting. INGA: No. Okay. That's fair enough. Yeah. I'm going to stop the recording.