Welcome to the course – Data Management and the FAIR principles
FOR ALL FACULTIES !! TECH, ENG, SUND, AND SSH
In this course you will get a thorough introduction to the importance of a data management plan (DMP) and how to create one. Moreover, the course will introduce the FAIR principles and how to implement them in your research.
The course objective is thus to promote good research practices by helping the participant make informed choices in relation to planning and executing research processes such as data collecting, data analysis, data storing and sharing.
The course will be split into two workshops aimed at supporting the individual PhD student in planning the data handling that is inherent to the PhD project.
Be aware that the course includes homework. Before the first day of teaching, 4 hours of homework is expected to get an introduction to the topics and materials, and then 15 hours of homework drafting a DMP and working on a dataset is to be expected between 1st and 2nd day of teaching. At sign-up, participants will be enrolled in both workshops, and attendance at both are required.
Teaching day #1
Welcome and introduction to the course Data Management and the FAIR principles
FAIR principles (making data that is Findable, Accessible, Interoperable and Reusable)
Exercise LEGO
What is a DMP and why is it important?
Introduction to AAU generic DMP template
Question 1-4 on the DMP template
Question 5-8 on the DMP template
Workshop
Questions and explanation of homework.
Teaching day #2
OBS We are in room A.2.19
Welcome and status on homework
How did you make the dataset FAIR?
How did you approach making your own DMP?
Closing, including the option of individual follow up arrangements.
Homework before 1st day of teaching (estimated time requirement: 4 hours):
To get a basic understanding of data management and the FAIR principles, please look at the following links and make the exercises prior to the first day of teaching:
1. Welcome to DeiC DMP. - in this link, you will find a tool for creating DMP’s, as well as different templates for DMP’s. Please create an account before we meet for the first day of teaching. Here is a guide for creating an account and an introduction to the AAU generic DMP template: DMP AAU template.mp4.
2. https://howtofair.dk/what-is-fair/ - in this link, you will find an introduction to the FAIR principles. Please read the information contained in this link and watch the three videos at the bottom - module 1 (Introduction), module 2 (FAIR principles) and module 3 (Data Management Plans).
3. https://howtofair.dk/why-fair/ - in this link, you will find an introduction to the purpose of knowing and using the FAIR principles. Please read the information contained in this link and watch the four videos with Susanna and Barend.
4. https://howtofair.dk/how-to-fair/ - in this link, you will get an introduction to how you can make your research data more FAIR by taking you through six FAIRification practices. Please read the information contained in this link and watch the four videos with research projects used as examples. Moreover, you must also read the six attached documents in the bottom of the link.
5. https://fair-office.at/lernen-sie-mehr/?lang=en – in this link, you will find nine videos lasting between 5-10 minutes. Please watch eight of the nine videos prior to the course (not the video on metadata, as it is in German).
6. https://howtofair.dk/quiz/ - in this link, you will find three quizzes. One on qualitative, one on quantitative and one on sensitive quantitative data. Please go through all three and please note, that you will not be held accountable for you correct/incorrect answers during the course.
Homework before 2nd day of teaching (estimated time requirement: 15 hours in total):
1. The following two exercises need to be done between the 1st and 2nd day of teaching: FAIRification of data
For this exercise you must use this dataset; https://doi.org/10.5061/dryad.7d7wm37wp.
Please evaluate the FAIRness of the dataset, using following guide to refresh the principles; “How FAIR are your data[1] ”; https://doi.org/10.5281/zenodo.1065991. Go through each of the letters in FAIR and assess, whether the dataset follows the four principles.
2. Start writing your own Data Management Plan
Start writing a DMP on your Ph.D. project. Use the AAU generic template to write your DMP. You will find the template at DMPonline. You do not have to hand in your data management plan or send us anything. We will talk about your data management plan in groups on day 2 of teaching.
The first version does not have to be perfect or done. If you need inspiration to start writing your DMP, you can have a look at the following materials for inspiration.
Materials for inspiration:
1. You can use the following guidance from Science Europe to help reflect on what to write in the different questions of your Data Management Plan; https://scienceeurope.org/media/4brkxxe5/se_rdm_practical_guide_extended_final.pdf
2. You can browse through existing Data Management Plans for inspiration:
- REPAIR draft Data Management Plan
Additional reading
Below you will find suggestions for additional reading materials. This is not part of the 15 hours dedicated for homework and therefore voluntary.
- A FAIRy tale; https://doi.org/10.5281/zenodo.2248200
- FAIR Principles: Interpretations and Implementation Considerations: https://doi.org/10.1162/dint_r_00024
- A basic introduction to Data management; Managing and sharing research data: a guide to good practice. Corti, Louise, author. 2020; 2nd edition – you can get this book at AUB.
Organizer:
CLAAUDIA CLAAUDIA - Aalborg University
Lecturers:
Freya Vamberg Delfs
Kamilla Hall Kragelund
Thomas Andersen
Dennis Aagaard Pedersen
Freya
Vamberg Delfs
ECTS: 1
Date: November 7th - 09:00 – 15:00
November 25th - 09:00 - 12:00
Place: Fredrik Bajers Vej 1, Aalborg campus, 9220 East D
Day 1 in room 0.003
Day 2 in room A.2.19
Accommodation: There will be coffee and tea during the day. You will have to bring your own lunch. Alternatively, you can buy food at the canteen.
Number of seats: 14
Deadline: October 17st, 2024
For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration, aauphd@adm.aau.dk.
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 1 week before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Thomas Andersen
- Teacher: Freya Vamberg Delfs
- Teacher: Dagmar Knudsen Fallesen
- Teacher: Kamilla Hall Kragelund
- Teacher: Dennis Aagaard Pedersen