Field to Database: Difference between revisions

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This workshop's aim is to investigate current trends in collecting, and focus on best practices and skills development for supporting the collection of robust, fit-for-research-use data. This 4-day short course is designed to be hands-on and will mix lectures with field work and participant exercises and presentations.
This workshop's aim is to investigate current trends in collecting, and focus on best practices and skills development for supporting the collection of robust, fit-for-research-use data. This 4-day short course is designed to be hands-on and will mix lectures with field work and participant exercises and presentations.
'''Goals'''
*Investigate, observe, discover leading-edge trends in field collecting.
*Provide examples of best practices for data sharing.
*Convey the concept, importance, and methods for how to create reproducible research workflows.
*Illustrate how data gets from the field into a collection database.
*Discuss how data gets published and discovered.
'''Objectives'''
*Students participate in field collecting with subject-matter experts and present what changes they plan to make to their collecting practices in a workshop presentation.
*Subject-matter experts share what they have learned from seeing / talking with others on this topic.
*Students work through examples to demonstrate mastery of skills for transforming, enhancing, standardizing data.


Our curriculum includes:
Our curriculum includes:


*(synopsis here)
*(synopsis of agenda here)
#Day1
#Day2
#Day3
#Day4


The concepts, skills, and tools we teach are domain-independent, but example problem cases and datasets will be taken from organismal and evolutionary biology, biodiversity science, ecology, and environmental science.
The concepts, skills, and tools we teach are domain-independent, but example problem cases and datasets will be taken from organismal and evolutionary biology, biodiversity science, ecology, and environmental science.
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