Research skills in the Open Science Era
CIVIL-608 / 2 crédits
Enseignant(s): Anciaux Guillaume, Gabella Chiara, Palatella Vincenzo, Weil Charlotte Gisèle
Langue: Anglais
Remark: Next time: Spring 2025, Max 15 participants. These credits count towards the transversal skills credits
Frequency
Every year
Summary
Research Skills in the Open Science Era is a course designed to explore the landscape of modern research tools and practices. You will gain insights into principles of open science, smart information retrieval, ethical publishing, coding best practices, and comprehensive research data management.
Content
Sem.1 - Intro & General
- Principles of research
- Research in Engineering
- Research outputs
- Peer review process
- Reproducibility in research
- FAIR principles
Sem. 2-6 - Information literacy & Smart publishing
• Searching for information
- Theoretical bases: scientific information as a network, elementary information retrieval, search equation
- Overview of information sources: articles, books, patents, reports, theses, databases, search engines...
- IA in research: concepts and tools
> [TP/exercise]/examples: Building a search equation, choosing the right tool, using IA wisely
• Copyright, plagiarism & citation
- lntellectual property basics: copyright laws, patents
- Citation best practices: citation as prevention against plagiarism
- Reusing other’s content: tables, images, illustrations...
> [TP/exercise/examples]: Real-life cases of citation/reuse of content
• Publication and Open Access
- The evolving ecosystem of scientific information: Open Access, publishing agreements, institutional and funders policies, authorship
- Visibility and impact: introduction to bibliometrics and altmetrics
- Collaborative writing: Overleaf, Authorea
> [TP/exercise/examples]: monOApoly, (OA serious game) collaborative writing examples
Sem. 7-10 - Coding for research
• Coding good practices in the Open-source Era
- Software introduction, programming languages
- Open-source & business models
- Code style and tools (linters )
- Version control, Collaborative coding and code publishing
- Collaborative coding and code publishing (release, packaging, code reviews)
- Citing software (software heritage)
- Documentation (md, readme, doc automation )
> [TP/exercise/examples]: Git, docker
• Data visualization / Scientific figures
- Theory of design principles
- Graphical integrity
- Type of plots
Sem. 11-14 - Research Data Management
• RDM Good practices in the Open Research Data era
- FAIR data principles
- Research data lifecycle: from raw data to data publication, including processed data and associated software and code
- Metadata, interoperability, machine-readable
- Standards in civil/environmental engineering
- Data protections laws
> [TP/exercise/examples]: Re-use published data:
Keywords
Bibliographic databases, Smart publishing, Search strategies, RDM, Data, Dataset, Software, Code, FAIR Data
Principles, Plagiarism, Scientific publishing, Copyright
Learning Outcomes
By the end of the course, the student must be able to:
- Develop the appropriate skills to support Open Science compliant dissemination and re-use of scientific output * Form late a search strateg for his/her o n PhD o tp t (tool selection search q er design
Transversal skills
- Collect data.
Dans les plans d'études
- Nombre de places: 15
- Forme de l'examen: Rapport de TP (session libre)
- Matière examinée: Research skills in the Open Science Era
- Cours: 26 Heure(s)
- Projet: 14 Heure(s)
- TP: 16 Heure(s)
- Type: optionnel