Estudia

• 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).

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. postprinting

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. Miscalleneous

          6.1. Open collaboration

          6.2. Open educational resources

          6.3. Open advocacy

7. Open evaluation / metrics

          7.1. Going beyond the h-index and journal impact factor

Activitats d'avaluació:

The students may follow online courses (FosterOpenScience, as indicated on Moodle) and demonstrate having followed these through certificates.

Criteris específics de la nota «No Presentat»:
Only those that have not followed classes nor have sent certificates of having followed online courses will be given the "No presentat" grade

Avaluació única:
The students will need to present a Data Management Plan, and make an exam.

Requisits mínims per aprovar:
The students must have followed all classes, or have followed online courses (with certificate to demonstrate the courses followed and hours involved), to receive grade of "superada l'assignatura".

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.

Through Moodle and e-mail

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.