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First edition in 2024
Biodiversity data: From data collection to publication
This five-day training course aims to work on the different stages of the data cycle, from acquisition to opening, including management, storage and the drafting of data papers.
The CESAB (Centre for Biodiversity Synthesis and Analysis), the French Biodiversity Data Hub (PNDB, Pôle National de Données de Biodiversité), and GBIF France (Global Biodiversity Information Facility for France) organize the first edition of the training course “Biodiversity data: From data collection to publication”. This five-day course aims to 1) contextualize the issues surrounding the understanding, sharing and (re)use of biodiversity data and metadata, and 2) enhance the skills of communities involved in one or more stages of the data cycle.
This training is given in French and takes place in the autumn, at CESAB offices in Montpellier. Its price is 250€ for the week – lunch included. Transportation, accommodation and evening meals are at the charge of the participants.
Find the training course on GitHub
A good mastering of the R software is required.
List of organisers :
- Nicolas CASAJUS (FRB-CESAB)
- Camille COUX (FRB-CESAB)
- Yvan LE BRAS (PNDB)
- Olivier NORVEZ (PNDB)
- Anne-Sophie ARCHAMBEAU (GBIF France)
- Sophie PAMERLON (GBIF France)
Programme example
This is an example of the course programme, which may be subject to slight changes from year to year.
The first four days will consist of lectures followed by exercises. Sub-group projects will be carried out on the last day.
Introduction and overview
- What is data/metadata?
- Major types of biodiversity data
- The data ecosystem in France and in academia
- The data cycle
- Achieving a high degree of “FAIRification”
- Current challenges (in academia and beyond)
Data acquisition
- Best practices for data collection (field, laboratory, etc.)
- Access to existing data (APIs, web scraping, text mining, etc.)
- Raw data vs. derived data
Data management
- Structuring (SQL, CSV files, etc.)
- Processing, cleaning and standardizing
Legal aspects
- Sharing, licensing, etc.
Opening data
- Data management plan
- (Meta)data: standards
- Storage and archiving
- Dissemination and sharing
- Enhanced value: the data paper
co-organizer
