General information
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Academic year:
- 2025
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Description:
- Introduction to the principles and practices of open science, to bring together the skills and competences for the future of science in a rapidly changing world. Training of researchers to identify the needs of open science, in all aspects (open access, open data, open source, open evaluation, reproducible research, public engagement, evaluation metrics, citizen science). Acquire knowledge and learn how to use the tools of open science. Content: · Open Access: Ethical and Practical Aspects, Plan S · FAIR (Findable, Accessible, Interoperable, Reusable) data · Data Management Plans · Rewards and incentives: indicators and metrics · Advances in research evaluation · Open peer review of articles · Citizen Science · Open Science tools · EU-wide initiatives (EU Open Science Cloud, Open Science MOOC, FosterPlus).
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Academic credits:
- 1
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Course coordinator:
- Marcel Swart
Groups
Other competences
- Learning about the components of Open Science, and how these affect current academic research (in all scientific domains).
- Learning Open Science tools, and how these can be applied in academic research.
- Learning communication of results of academic research in scientific publications (Open Access), repositories (Open Data), refereeing (Open Reviews), and evaluation practices (Open Metrics).
Syllabus
1. Open Science
1.1. Open Principles
1.2. Reproducible research
1.3. Public engagement
1.4. Code of conduct
2. Open Access
2.1. Open Access possibilities
2.2. Plan S
2.3. Preprint vs. post printing
3. Open Data
3.1. Open Data: when, how and where
3.2. FAIR data
3.3. Data management plans
4. Open Peer Review
4.1. Possible options: (double) blind, upfront, after publication
4.2. Credits to reviewers (ORCID, Publon)
5. Open Source
6. Citizen Science
7. Miscellaneous
7.1. Open Collaboration
7.2. Open Educational Resources
7.3. Open Advocacy
8. Open Evaluation / metrics
8.1. Going beyond the h-index and journal impact facto
8.2. Room for everyone's talent
Activities
|
Activity type
|
Hours with a teacher
|
Hours without a teacher
|
Virtual hours with a teacher
|
Total
|
| Individual preparation of assignments |
10,00 |
5,00 |
0
|
15,00 |
|
Total
|
10,00 |
5,00 |
0
|
15 |
Bibliography
Assessment and Grading
Assessment activities:
|
Description of the activity
|
Assessment Activity
|
% |
Remediable subject
|
| Classes and online material |
Multiple-choice exam |
50 |
Yes |
| Online course material |
Data Management Plan |
50 |
Yes |
Grading
The students must have followed 80% of all classes in person. Only vulnerable students, students who are temporarily confined or live more than 120 km from Girona can follow the online sessions. Students that require this option must inform the professor before the course begins and must provide a written proof to the professor.
Specific criteria for the "No show" grade:
The students that have not followed at least 80% of the classes, or those that have not presented a Data Management Plan, or have not filled in the Multiple-Choice exam, will be given the "No presentat" grade.
Single Assessment:
The students will need to present a Data Management Plan, and make an exam.
Minimum requirements to pass:
Per considerar superada l’assignatura, caldrà obtenir una qualificació mínima de 5.0
Mentorship
Upon request between student and professor (through e-mail or Moodle), and taking place on GMeet, MSTeams, or if preferred (and if possible) in person.
Communication and interaction with students
Through Moodle and e-mail. All classes in person.
Remarks
The course is an introduction to Open Science, for being able to use the OS tools in academic research by the students. It is focused on practical and theoretical aspects.