Index

• Previous Activities

Learning Materials and Activities

Through providing a set of learning materials, Plazi (https://plazi.org/) intends to enable users to release data, inspire the development of enhanced new tools, and build a collaborative community. The Plazi-community is organized on Github and is open for contribution. Plazi offers a set of certificate granting online open modular courses, as well as workshops and training courses online and presential to scientific community around the world.

Learning Modules

Learning material includes presentations of Plazi’s goals and workflow, as well as concepts that are the base of data liberation process. Tools to annotate publications and work on data extraction are presented along with guides, tutorials, and screencasts. The use of platforms for queries and data reuse is introduced through explanations and tutorials.

Certificates

The courses provide certification after the module’s assignments conclusion. After the completion of the modules “Individual Extraction” and “Quality Control” (hyperlinks to the modules) the participant can obtain login and password to extract and liberate data using GGI and Plazi's platforms as new certificates. The data liberations are approved by the Plazi team, and the new certificates receive feedback concerning data quality by email until fully qualified.

Audience

Scientific community, citizen scientists

Previous Activities

27-28 February: Mobilise COST Action - "Biodiversity and Digital Media:linling material citations in publications to specimes". (https://plazi.org/posts/2023/03/specimen-material-citation-matching-service-training-course/)

03-06 April: UFRGS - "Taxonomia Integrada aos Meios Digitais: como facilitar o acesso e a reutilização de dados taxonômicos pela comunidade científica".

18-21 April: SANBI "The Taxonomy Integrated to Digital Media - how to facilitate the acces and reuse of taxonomic data by the scientific community". (https://plazi.org/posts/2023/05/training-s-african-scientists/)

Online Courses

• MOBILISE COST Action 2023
• Escola Superior de Conservação Ambiental e Sustentabilidade – ESCAS
• XXXV Brazilian Congress of Zoology 2024 (CBZ)

Talks and Presentations

• TDWG 2023
• iDigBio 2023
• XXXV Brazilian Congress of Zoology 2024 (CBZ)

Community resources

The Plazi-community is organized on Github and is open for contribution.

Next Activities and Events

• In-Person Courses
• Online Courses
• Talks and Presentations

Module – Plazi Presentation

Description: In this module we briefly present where we come from and where we can go, Plazi's workflow and main taxonomic repositories.

Prerequisites: none.

Learning objective:

• Introduction to course and members
• Biodiversity informatics and FAIR data
• Taxonomic literature and the ‘Plazi way’

Join module with Google Classroom (https://classroom.google.com/), using the class code bqzqmzk.

Module – Individual Extraction

Description: In this module you will get to know the computer program used to extract data for scholarly publications: the GoldenGate Imagine - GGI. You will also get used to the concepts used in the Plazi workflow and concepts that must be understood in order to use the GGI data extraction program. Moreover, you will experience a complete data extraction from a published paper.

Prerequisites: none.

Learning objective:

• Taxonomic concepts in data extraction from publications
• GGI and introduction to individual extraction
• Individual extraction

Join module with Google Classroom (https://classroom.google.com/), using the class code aafo2py.

Module – Quality Control

Description: In this module you will get to finish the process of data liberation after an individual or automatic extraction of data from scholarly publications according to Plazi's workflow. This is an important and mandatory step of data liberation. The quality control process detect and correct the extraction errors preventing wrong information to reach the repositories

Prerequisites: module “Individual Extraction” (hyperlinks to the modules) certification.

Learning objective:

• Enhancing annotation
• Quality control of data extracted from publications.

Join module with Google Classroom (https://classroom.google.com/), using the class code vj6tqd5.

Module – Queries and Reuse

Description: In this module you will get to know the different data repositories and experience the use of Plazi's Treatment Bank for queries and searches.

Prerequisites: none.

Learning objective:

• Data repositories - Queries and reuse

Join module with Google Classroom (https://classroom.google.com/), using the class code xqzqsgn.

Module – Matching Service

Description: The Matching Service is designed for users to participate of the liberation of scholarly knowledge about biodiversity, allowing them to match the material citations contained in the academic literature to the respective specimens in natural history collections.

Prerequisites: none.

Learning objective:

• Introduction to the Matching Service
• Accessing the Matching Service
• Matching decisions

Join module with Google Classroom (https://classroom.google.com/), using the class code uknffkt.