Course on DNA barcode data in BOLD and GBIF - Bulgaria

Accelerating biodiversity research through DNA barcodes, collection, and observation data. Regional Training course for M.Sc. and Ph.D. students with expert trainers and trainers-in-training - Bulgaria

Image may contain: Font, Electric blue, Symbol, Emblem, Logo.

BioDATA Bulgaria April 2023

Program

An overview of the course curriculum for Accelerating biodiversity research through DNA barcodes, collection, and observation data is provided here.

The program overview is here.

The course home page is here.

Exercises (sequence data)

Venue and travel information

The venue for the training course is located at the Training and experimental forest station G. St. Avramov, Yundola, Bulgaria.

Aim

This course will teach you how to use DNA barcodes, and collection and observation data to resolve research questions in biodiversity. The program uses a combination of lectures, tutorials, and hands-on exercises. You will learn to handle biodiversity data including DNA barcoding. You will gain practical experience in using open and digitally documented biodiversity data through GBIF and BOLD to answer biodiversity research questions. You will understand and practice capturing observation, collection, and genetic data from analog and digital sources. Finally, this course provides basic skills in data publishing through GBIF and BOLD.

Scope

Data management skills for accessing and publishing data through biodiversity data platforms. This is an observation/specimen → published record course that does not include wet lab steps.

This course is a collaboration between the Diku-funded University of Oslo project BioDATA, the Bulgarian DNA barcoding BULCode project, and GBIF - Global Biodiversity Information Facility as has been developed by Dag Endresen, Dmitry Schigel, Helena Wirta, Hugo de Boer, Laura Russell, and Stefaniya Kamenova.

Audience

The course is suitable for MSc and Ph.D. students in biology and other professionals in relevant fields.

Students were selected on the basis of a brief motivation letter describing their background and interest in the course topic of open biodiversity data publication.

Prerequisites

Participants should have an affinity or professional interest in biodiversity. Participants need to have the motivation and interest to handle DNA barcodes, museum collection data, and observation data. A good understanding of English is necessary to follow the course, carry out the exercises, and receive support during the teaching.

Intended learning outcomes

  • Understand and be able to explain the concept of species delimitation.

  • Learn to use genetic sequence data as a DNA barcode to identify a species.

  • Learn to publish and retrieve data from GBIF and BOLD.

  • Learn the basics of data capture, cleaning, storage, geo-referencing, and citation.

  • Critically assess the quality of own and external data and their fitness for purpose.

  • Practice the key tools and approaches to maximize data quality, data linking, and data reuse.

  • Explore the benefits of FAIR and open data principles in biodiversity research and collaboration.

  • Understand the value of data management as a research-enabling tool.

  • Broadly understand the importance of international biodiversity infrastructures, and how these can contribute to biodiversity assessments, monitoring, conservation, and red-listing.

Teachers and mentors

  • Georgi Bonchev from the Bulgarian DNA barcoding BULCode project.
  • Course teachers: Dag Endresen, Dmitry Schigel, Helena Wirta, Hugo de Boer, Laura Russell, Tobias Frøslev, and Stefaniya Kamenova.

Join the iNaturalist bioblitz project

You may like to start observing Bombus, Vicia, and Crocus around you using the iNaturalist app. You can also upload photo observations from your desktop. Note that BioBlitz («BioDATA Bulgaria April 2023») is open already. Observations from anywhere in Bulgaria can be added until the end of the course (April 21). There will be three prizes: for the most observations made, for the highest number of species observed, and for the highest number of identifications made.

New to iNaturalist? Read https://www.inaturalist.org/pages/getting+started.

Recommended preparation

The course will include a practical part where you will design a research project and its data elements. This project and its “data journey” will be on a plant-pollinator system. To prepare for this part, please read the following. Skip if you are working on pollinators yourself already.
Published Mar. 29, 2023 1:12 PM - Last modified June 4, 2023 11:20 AM