Manual_confirmed
29
edits
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| 3:30 || TBA || TBA || TBA | | 3:30 || TBA || TBA || TBA | ||
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===Thursday=== | |||
{| class="wikitable" | |||
! Time !! Speaker !! Title !! Abstract | |||
|- | |||
| 11:00 || Amber Budden || Data Management Education and SkillBuilding Hub || This session will cover the basic principles of data management and introduce the Data Management Skillbuilding Hub, a centralized resource for educational webinars, modules and best practices materials | |||
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| 12:00 || LUNCH || || | |||
|- | |||
| 1:30 || Shawn Taylor || Getting a handle on your data with the dplyr R Package || The dplyr package in R has become extremely popular. It replaces many base R functions for subsetting, summarizing, and creating new variables. I'll give introductions to basic dplyr commands which can help organize your data prior to analysis. | |||
|- | |||
| 2:30 || Corinna Gries || EDI's R workflow to generate EML metadata || We will demonstrate how to use the EMLAssemblyline R workflow in combination with the rEML package to generate valid metadata formatted in the Ecological Metadata Language XML standard. The workflow runs in RStudio and only limited R knowledge is needed to produce valid EML metadata that may be submitted to the Environmental Data Initiative's (EDI) repository for publishing. | |||
|- | |||
| 3:30 || Kathryn Meyers || Creating a metadata record with Metacat || Brief overview on how to write a good metadata record, funder requirements and community best practices. | |||
|} | |} | ||