Registrations for the 2024 session are not yet open

Registrations open each spring and the training course takes place during fall.

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This five-day training course, co-organized by the FRB-CESAB, the PNDB, and GBIF France aims to work on the different stages of the data cycle, from acquisition to opening, including management, storage and the drafting of data papers.

We will 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.

Program

Introduction and overview

What is data/metadata?
Major types of biodiversity data
The data ecosystem in France and in research
The data cycle
Achieving a high degree of FAIRification
Current challenges (in research 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, cleansing and homogenization

Legal aspects

Sharing, licensing, etc.

Opening data

Data management plan
(Meta)data: standards
Storage and archiving
Dissemination and sharing
Enhancing value: The data paper

Prerequisites

Please follow this tutorial to install your working environment before attending the training course.

You also need to create an account on GitHub (please edit your profile and enter your name).

Material

All the material used in this training course (slides, data, exercises) is available at: https://github.com/biodiversitydata/

Citation

Casajus N, Coux C, Le Bras Y, Norvez O, Archambeau A-S & Pamerlon S (2024) Biodiversity data: From data collection to publication. An FRB-CESAB, PNDB & GBIF France training course. URL: https://biodiversitydata.github.io/

Contributions

If you see mistakes or want to suggest changes, please create an issue on the source repository.

Reuse

Text and figures are licensed under Creative Commons Attribution CC By 4.0, unless otherwise noted.

Welcome

Program

Prerequisites

Material

Citation

Contributions

Reuse

See also