The Living Data Project offers annual 1-month courses to train graduate students in Data Management, Reproducibility, Data Synthesis, and Collaboration.
Applications open June 3, 2024 to Aug 25, 2024.
More details here.
Applications open June 3, 2024 to Aug 25, 2024.
More details here.
Productivity and reproducibility in ecology and evolution
Instructors: Mathew Vis-Dunbar, David Hunt, Erik Dean, Pierre Rogy:
This course aims to transform the way that ecologists and evolutionary biologists work: to increase productivity, improve accountability and transparency, and meet need demands for research reproducibility. Trainees will learn how to integrate recommended practices in Open Science into their individual and collaborative research workflows, and use digital platforms and tools to facilitate collaboration, ensure transparency, enable pre-registrations, and implement version control and provenance tracking.
(UBC-V course number: BIOL548T, UofR course number: BIOL880AU, UBC-OK course number: BIOL530D)
This course aims to transform the way that ecologists and evolutionary biologists work: to increase productivity, improve accountability and transparency, and meet need demands for research reproducibility. Trainees will learn how to integrate recommended practices in Open Science into their individual and collaborative research workflows, and use digital platforms and tools to facilitate collaboration, ensure transparency, enable pre-registrations, and implement version control and provenance tracking.
(UBC-V course number: BIOL548T, UofR course number: BIOL880AU, UBC-OK course number: BIOL530D)
SCIENTIFIC DATA MANAGEMENT FOR ECOLOGY AND EVOLUTION
Instructors: Diane Srivastava, Sally Taylor, Raymond Ng, David Hunt, Erik Dean, Pierre Rogy:
This course will develop best practices in data management in ecology and evolution research. We will use a combination of instruction, in-class activities and projects to guide students through all parts of the research data lifecycle, starting with the collection and storage of data, progressing through the organizing of data (database design, “tidy” data principles, data versioning), the cleaning of data (quality assessment, geospatial and taxonomic data standards), and ending with the sharing of data (metadata and documentation, and archiving and accessing data in digital repositories following the new FAIR principles). Each student will work progressively through the course on an individual data management plan for the data they will collect - or have already collected - for one of their research projects. As well, students will work in small groups on preparing an existing biological dataset for archiving using R scripts. This course, one of the first such courses in Canada specifically geared to ecology and evolution, will give students the tools for managing their own research data as well as rescuing previously collected data.
(UBC-V course number: BIOL548U, UofR course number: BIOL880AR, UBC-OK course number: BIOL530C)
This course will develop best practices in data management in ecology and evolution research. We will use a combination of instruction, in-class activities and projects to guide students through all parts of the research data lifecycle, starting with the collection and storage of data, progressing through the organizing of data (database design, “tidy” data principles, data versioning), the cleaning of data (quality assessment, geospatial and taxonomic data standards), and ending with the sharing of data (metadata and documentation, and archiving and accessing data in digital repositories following the new FAIR principles). Each student will work progressively through the course on an individual data management plan for the data they will collect - or have already collected - for one of their research projects. As well, students will work in small groups on preparing an existing biological dataset for archiving using R scripts. This course, one of the first such courses in Canada specifically geared to ecology and evolution, will give students the tools for managing their own research data as well as rescuing previously collected data.
(UBC-V course number: BIOL548U, UofR course number: BIOL880AR, UBC-OK course number: BIOL530C)
SYNTHESIS STATISTICS FOR ECOLOGY AND EVOLUTION
Instructors: Laura Pollock, Jennifer Sunday, David Hunt, Erik Dean, Pierre Rogy:
This course will provide an introduction and overview of approaches for synthesizing the highly structured, multi-sourced datasets that typify ecology, evolution, and environmental research, including data collation, integration, analysis, and visualization. Students will learn how to define their research question and scope in the context of other studies in their subfield and how to find and fill in gaps in understanding with additional datasets. We will also provide a broad overview of the different types of methods used for synthesizing data including hierarchical models, meta-analysis, model integration, and model updating, providing students a guide to navigating these methods and identifying methods to learn and use in their research. Students will develop skills in R programming, collaborative research, reproducible workflows, data analysis, and communication.
(UBC-V course number: BIOL548V, UofR course number: BIOL880AS, UBC-OK course number BIOL530A)
This course will provide an introduction and overview of approaches for synthesizing the highly structured, multi-sourced datasets that typify ecology, evolution, and environmental research, including data collation, integration, analysis, and visualization. Students will learn how to define their research question and scope in the context of other studies in their subfield and how to find and fill in gaps in understanding with additional datasets. We will also provide a broad overview of the different types of methods used for synthesizing data including hierarchical models, meta-analysis, model integration, and model updating, providing students a guide to navigating these methods and identifying methods to learn and use in their research. Students will develop skills in R programming, collaborative research, reproducible workflows, data analysis, and communication.
(UBC-V course number: BIOL548V, UofR course number: BIOL880AS, UBC-OK course number BIOL530A)
SCIENTIFIC COLLABORATION IN ECOLOGY, EVOLUTION AND ENVIRONMENTAL SCIENCE
Instructors: Bruno Eleres Soares, David Hunt, Erik Dean, Pierre Rogy:
This course puts into practice recent research on effective team science, teaching skills to optimize collaboration, including: cross-discipline communication, meeting facilitation, conflict resolution, team workflow, digital collaboration, authorship, and working group organization. Particular attention will be paid to participant diversity and acknowledging power imbalances, negotiating roles, and cross-cultural communication.
(UBC-V course number: BIOL548W, UofR course number: BIOL880AT, UBC-OK course number BIOL530B )
This course puts into practice recent research on effective team science, teaching skills to optimize collaboration, including: cross-discipline communication, meeting facilitation, conflict resolution, team workflow, digital collaboration, authorship, and working group organization. Particular attention will be paid to participant diversity and acknowledging power imbalances, negotiating roles, and cross-cultural communication.
(UBC-V course number: BIOL548W, UofR course number: BIOL880AT, UBC-OK course number BIOL530B )