Skip to content

Latest commit

 

History

History
231 lines (101 loc) · 5.91 KB

schedule.md

File metadata and controls

231 lines (101 loc) · 5.91 KB

Class Schedule, Spring 2016

1/12

What is open science?

1/14

What is open science, continued

Rules and regulations from NSF, intro to terminology

1/19

Organizing data tables

  • Clinic: setting up data tables for your research
  • Students will be assigned groups and given access to their project dataset

1/21

Becoming open scientists: what skills do you need?

Intro to collaborative writing using Authorea/Google Docs Intro to open notebooking and class blog

  • Exercise: test blog post
  • Exercise: set up collaborative writing infrastructure

1/26

Understanding other people’s data: an introduction to metadata

Guest speaker: Stephanie Wright, data science librarian, Mozilla Science Lab

  • Exercise: write metadata file for project data

1/28

Data creation and authorship

  • Reflection: what are the challenges you faced in trying to understand data produced by others?

2/2

Christie away- Mozilla work week

  • Please meet with your group mates to discuss how you’d like to approach your project

2/4

  • Exercise: summarize research plan
  • Exercise: determine analysis approach for project data

2/9

Data cleaning: introducing OpenRefine

  • Exercise: QC on project data

2/11

Grey data: can it be liberated?

  • Reflection: how can we save the grey data?

2/16

Intro to R Studio and R

2/18

Open Licensing: Creative Commons

Guest Speaker: Kaitlin Thaney, MSL, Creative Commons

2/23

Projects and version control in R

Code documentation

  • Exercise: get set up on R Studio, Github

2/25

Reproducibility (Nuzzo paper)

  • Reflection: what steps do we need to take to address the reproducibility crisis in science?

3/1

Simple software in R (Functions)

3/3

Authorship in massive collaborative projects

Guest speaker- Titus Brown, UC Davis, on khmer

  • Reflection: How do you determine who is an author?

3/8

Spring break

In Canada, we call this Reading Week. So get reading!

3/10

No class

3/15

Simple software in R continued (Loops)

3/17

Sharing data (Mills paper)

  • Reflection: What are the risks of data sharing, and can they be mitigated?

3/22

Adapting code produced by others

  • Exercise: Complete simple analysis on project data

3/24

Academic publishing and open access journals: predatory publishers, impact factors and the scientific enterprise, oh my!

Guest Speaker: Richard Smith-Unna, Mozilla Science Fellow

  • Reflection: how do you measure the quality of a journal?

3/29

Supported work period: creating basic plots using ggplot2

  • Exercise: finish figures for your project

3/31

Visualization as an outreach tool

Guest Speaker: Joey Lee, Mozilla Science Fellow

  • Reflection: How can we engage broader audiences in our work?

4/5

Supported work period: assessing project progress

4/7

Non-manuscript scientific products

Guest Speaker: Abby Cabunoc Mayes, MSL on Mozilla Badges

  • Reflection: Can we incentivize open science at all steps in the research process?

4/12

Supported work period

  • Exercise: MS drafts to Christie

4/14

Crowdsourcing and engaging the public in massive research projects

Guest Speaker: Jason Bobe, Mozilla Science Fellow

4/19

Submitting a manuscript to a journal

  • Exercise: What will you need to submit with your MS?

4/21

Managing collaborative projects on the web

Guest Speaker: Zannah Marsh, Mozilla Science Lab

  • Reflection: can we use open science to foster diversity in science?

4/26

Student’s choice: what tools are you interested in learning?

4/28

  • Exercise: If we feel it’s ready, we will submit MS to Peer J together, otherwise continue working on edits
  • Collaborator assessments due