The Open Science and Reproducible Research course
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01_what_is_open_sci.md
02_organizing_data_tables.md
03_skills_for_open_sci.md
04_understanding_other_peoples_data_metadata.md
04a_DataReusePlanExercise.md
04b_Data_Reuse_Plan_Worksheet.md
04c_OpenDataChallengesQuickInfoSheet.md
05_data_creation_authorship.md
06_data.cleaning.md
07_grey_data_liberation.md
08_intro_to_R.md
09_open_licensing.md
10_projects_version_control_in_R.md
11_reproducibility.md
12_software_in_R_functions.md
13_authorship_in_collaboration.md
14_software_in_R_loops.md
15_sharing_data.md
16_adapting_other_peoples_code.md
17_academic_publishing.md
18_plotting_with_ggplot2.md
19_visualization_and_outreach.md
20_non-manuscript_research_products.md
21_crowdsourcing_public_engagement.md
22_submitting_manuscripts_to_journals.md
23_managing_collaborative_projects.md
CONTRIBUTING.md
Contributors.md
README.md
Syllabus.md
assignment_list.md
schedule.md

README.md

The Open Science and Reproducible Research course##

This repo will contain the materials for an open science and reproducible research course targetted at organismal ecologists. The plan is to create a framework for students to be led along the open science path, over a typical semester and using real data, leading to a final publication. The idea is to provide an even balance of technical skill (eg: how to set up version control using R Studio) with more philosophical aspects (eg: authorship and credit in collaborative projects)

The initial materials will be developed in conjunction with a real-world offering of the OSRR course, held here at Michigan State, but I'd like to encourage everyone to branch, fork, PR when you have something to add- the end goal is to create materials for a distributed-delivery, customizable course that can be offered to the full breadth of early career scientists- to get all of us started out in a more collaborative, more open environment.

Find the community and tweet to us (me) at #OSRRcourse

Oh! I should cite a license. Let's go with CC BY 4.0