WEBVTT Kind: captions; Language: en 1 00:00:02.590 --> 00:00:08.930 OK, so this is short online session for starting info for the course 2 00:00:08.930 --> 00:00:12.290 you pay Data Introduction to Research Data Management. 3 00:00:12.290 --> 00:00:15.610 So we're going to look at the course instructions and the 4 00:00:15.610 --> 00:00:18.890 Course Assignment Data Management plan. 5 00:00:18.890 --> 00:00:23.270 So here in the course Moodle page you can find all the instructions. 6 00:00:23.270 --> 00:00:25.950 And first of all, here we have the course assignment, which 7 00:00:25.950 --> 00:00:29.780 is, like I said, the data management plan. 8 00:00:29.780 --> 00:00:34.200 Next you'll find the learning material here. 9 00:00:34.200 --> 00:00:37.880 And then we have the study instructions. 10 00:00:37.880 --> 00:00:40.320 There's also, of course, announcements. 11 00:00:40.320 --> 00:00:46.020 And below we have discussion forum and then there's 12 00:00:46.020 --> 00:00:49.390 an option to give feedback on the course. 13 00:00:49.390 --> 00:00:59.810 So first of all, looking at the study instructions so we have 14 00:00:59.810 --> 00:01:06.570 instructions on how to get started answers to frequently asked questions here. 15 00:01:06.570 --> 00:01:11.580 So basically completing the course means studying the learning 16 00:01:11.580 --> 00:01:17.260 materials and creating the data management plan. 17 00:01:17.260 --> 00:01:23.580 So ideally you would complete the course when you are planning your research, 18 00:01:23.580 --> 00:01:31.540 when you are planning your data collection for example, doing the planning 19 00:01:31.540 --> 00:01:34.550 interviews or doing the survey and so on. 20 00:01:34.550 --> 00:01:40.250 So do this assignment when you know what kind of data you are collecting 21 00:01:40.250 --> 00:01:47.250 or handling before you start to collect or handle your data. 22 00:01:47.250 --> 00:01:55.780 So first of all, um how to answer the questions 23 00:01:55.780 --> 00:01:58.700 in the data management plan. 24 00:01:58.700 --> 00:02:04.520 So please answer all questions based on your own research data and the 25 00:02:04.520 --> 00:02:10.780 learning material and also answer all the questions, also the ones that 26 00:02:10.780 --> 00:02:14.500 are not directly applicable to your own data. 27 00:02:14.500 --> 00:02:22.440 So all questions must be answered based on your data and the course material. 28 00:02:22.440 --> 00:02:29.500 So if the question is not applicable to your data, explain based on the course material 29 00:02:29.500 --> 00:02:38.040 how you should handle the matter and then, uh, return the assignment. 30 00:02:38.040 --> 00:02:41.400 Here's instructions on the maximum length. 31 00:02:41.400 --> 00:02:45.200 The answers don't need to be long, and the main idea is to show that 32 00:02:45.200 --> 00:02:52.150 you have understood and then you'll receive feedback. 33 00:02:52.150 --> 00:03:00.230 Um, and or you can you can proceed at your own pace on this 34 00:03:00.230 --> 00:03:09.050 course, so you have until April 15th to return your 35 00:03:09.050 --> 00:03:11.870 the assignment. 36 00:03:11.870 --> 00:03:15.370 But yeah, do this when you before you start to actually 37 00:03:15.370 --> 00:03:20.110 collect your data or handle your data. 38 00:03:20.110 --> 00:03:25.440 So that's quickly the main course instructions and then 39 00:03:25.440 --> 00:03:31.970 we'll look at the data management plan. 40 00:03:31.970 --> 00:03:40.560 So we have an introduction and then six sections here and 41 00:03:40.560 --> 00:03:48.780 first of all you your copy these this text, all the text here for example paste 42 00:03:48.780 --> 00:03:50.990 it in Word. 43 00:03:50.990 --> 00:03:58.330 So this is the data management plan, the introduction and sections one to six. 44 00:03:58.330 --> 00:04:04.390 So copy the text, for example, into Word document and 45 00:04:04.390 --> 00:04:08.840 then some of the same instructions here. 46 00:04:08.840 --> 00:04:14.580 But yeah, so in the introduction, first we talk about responsible conduct of 47 00:04:14.580 --> 00:04:22.150 research and then the importance of the data management plan. 48 00:04:22.150 --> 00:04:25.280 Then let's go through the sections here and I'll explain 49 00:04:25.280 --> 00:04:29.830 what these questions might mean. 50 00:04:29.830 --> 00:04:38.440 So first in the section first section Overview of data and quality assurance, 51 00:04:38.440 --> 00:04:43.840 first of all you explain what kind of data you are collecting or handling. 52 00:04:43.840 --> 00:04:49.460 So for example, if you are doing interviews, you tell what interviews and 53 00:04:49.460 --> 00:04:57.610 that you are doing interviews, so and then how 54 00:04:57.610 --> 00:05:04.420 to ensure the quality and coherence, coherence of the data, so the course material. 55 00:05:04.420 --> 00:05:10.720 There are some strategies to make sure that, for example when you are 56 00:05:10.720 --> 00:05:17.130 transcribing your interviews, how to that it's good idea to check that 57 00:05:17.130 --> 00:05:20.650 the information corresponds to the recording. 58 00:05:20.650 --> 00:05:26.950 And for example, when you have your data, it's good idea to have regular 59 00:05:26.950 --> 00:05:30.350 backups so that you can go back if something goes wrong. 60 00:05:30.350 --> 00:05:38.560 So these kind of things and then writes related to the data. 61 00:05:38.560 --> 00:05:46.810 Umm, what kinds of things should be agreed on if you are doing your 62 00:05:46.810 --> 00:05:56.000 thesis as part of research group or for example, for example, in collaboration with company? 63 00:05:56.000 --> 00:06:04.580 Copyright is the copyrighted material and what should you do in that case? 64 00:06:04.580 --> 00:06:06.380 Um. 65 00:06:06.380 --> 00:06:11.310 And then in Section 3, it's the important section about personal data. 66 00:06:11.310 --> 00:06:16.530 So many kinds of research data include personal data. 67 00:06:16.530 --> 00:06:22.870 For example, interviews always contain personal data because of speaking voice. 68 00:06:22.870 --> 00:06:27.180 It's a so-called direct identifier. 69 00:06:27.180 --> 00:06:34.020 But yeah, so here you identify what kind of personal data you might be handling 70 00:06:34.020 --> 00:06:39.600 and then explain why you need to collect or process this this personal data 71 00:06:39.600 --> 00:06:45.710 and how do you inform and protect research subjects? 72 00:06:45.710 --> 00:06:50.670 And then are there other ethical questions related to your research date. 73 00:06:50.670 --> 00:06:56.390 So again, in the course material there is explained what, for example, 74 00:06:56.390 --> 00:07:00.310 what does informing research subjects mean? 75 00:07:00.310 --> 00:07:04.890 What do you need to do in Section 4? 76 00:07:04.890 --> 00:07:11.220 It's about documenting your research process, documenting 77 00:07:11.220 --> 00:07:13.600 what you are doing with the data. 78 00:07:13.600 --> 00:07:19.580 So for example keeping research journal or doing an excel of different 79 00:07:19.580 --> 00:07:26.620 parts of your data and then examples of metadata. 80 00:07:26.620 --> 00:07:34.690 So metadata is, for example, if you are doing interviews, you can list the dates of 81 00:07:34.690 --> 00:07:41.720 the interview, so it's information about the data and then they're security. 82 00:07:41.720 --> 00:07:49.320 So especially if you are handling personal data, then it's very important to have secure 83 00:07:49.320 --> 00:07:57.480 location where you store the data and then again in the course material guides explained 84 00:07:57.480 --> 00:08:02.590 what are the safe places to store the data and choose one. 85 00:08:02.590 --> 00:08:11.200 Here, for example, U drive and then remove the other options that you don't need. 86 00:08:11.200 --> 00:08:15.520 But in the same way, how do you handle the data securely? 87 00:08:15.520 --> 00:08:21.930 For example, what software or tools do you use, for example for interviews or surveys? 88 00:08:21.930 --> 00:08:26.600 Again, choose once that apply. 89 00:08:26.600 --> 00:08:33.150 For example, if I'm doing interviews, I have personal data but no 90 00:08:33.150 --> 00:08:39.410 special personal data, then I would I would choose Teams if I do interviews 91 00:08:39.410 --> 00:08:42.560 with Teams and then remove the others. 92 00:08:42.560 --> 00:08:49.780 So here it's important important to understand the issues in Section 3. 93 00:08:49.780 --> 00:08:55.720 Personal Data to be able to choose the correct storage places and 94 00:08:55.720 --> 00:09:00.190 tools and then finally opening or destroying data. 95 00:09:00.190 --> 00:09:09.090 What do you do with the data after your thesis is completed? 96 00:09:09.090 --> 00:09:15.550 Yeah, and actually now I'm recording this, I think I 97 00:09:15.550 --> 00:09:20.390 I am missing part of the question here. 98 00:09:20.390 --> 00:09:27.700 It should also also ask ask you to list your research questions 99 00:09:27.700 --> 00:09:32.250 here, so I might need to amend this little bit. 100 00:09:32.250 --> 00:09:41.720 But anyway, so these kinds of things are included in the data management plan. 101 00:09:41.720 --> 00:09:44.620 So, yeah. 102 00:09:44.620 --> 00:09:51.020 And when you are done with the data management plan, you can. 103 00:09:51.020 --> 00:10:02.930 but you can then return it at the bottom of the of the page. 104 00:10:02.930 --> 00:10:11.070 OK, so if you do have any any questions, our e-mail 105 00:10:11.070 --> 00:10:14.380 addresses are here in in this study instructions. 106 00:10:14.380 --> 00:10:22.940 So if there are any any any questions or any worries you can contact us. 107 00:10:22.940 --> 00:10:28.280 But other than that, here we have the. 108 00:10:28.280 --> 00:10:32.880 Quick guide on how to how to get started and how to study this course.