1. Center for Open Science: Practical Steps for Increasing Openness
Courtney Soderberg
Statistical and Methodological Consultant
Center for Open Science

2. Infrastructure
Metascience
Community

3. Technology to enable change
Improving scientific ecosystem

4. Open Science Framework
free, open source

5. Technology to enable change Training to enact change
Improving scientific ecosystem

6. Free training on how to make research more reproducible
Partner with others on training --- librarians are great partners in this ---- to teach researchers skills in how to deal with basic data management and how to improve their research workflows for personal and sharing purposes.
Software Carpentry and Data Carpentry are other great examples of efforts in this area, and partnerships with those in libraries --- we’ve done some work with them and are exploring ways to do more.
Free training on how to make research more reproducible

7. Technology to enable change Training to enact change
Incentives to embrace change
Improving scientific ecosystem

8. The $1,000,000 Preregistration Challenge
Endorse TOP Guidelines
Badges for Open Practices
Registered Reports
Another incentive for researchers to try out preregistration.

9. Signals: Making Behaviors Visible Promotes Adoption
Badges
Open Data
Open Materials
Preregistration
Psychological Science (Jan 2014)

10. Also have an initiave to get journals ot adopt review of pre-registered reports of publications, so not even publication decisions are data dependent, but are made instead on the solidness of theory, study design, and analyses

11. Data Availability in Psychological Science
10x increase from 2013 to 2015

12. There’s more to it than sharing of discrete objects
There’s more to it than sharing of discrete objects. Think about using this as an opportunity to increase transparency by capturing the entire workflow, and to do so while connecting tools and services that make up the parts of the workflow, not requiring people to change all of their practices at once, and providing immediate efficiencies and value to the researcher AS they comply with requirements.
Easy, right? Obviously not.

13. We tend to talk about sharing:
Data (maybe code) underlying published articles
Great first step
Computational reproducibility checks
But…

14. Outcomes Content Process Open Access Open Data Open Workflows
Improving scientific ecosystem
Make outcomes more accessible
Make research content more accessible
Make research process more accessible

15. There’s more to it than sharing of discrete objects
There’s more to it than sharing of discrete objects. Think about using this as an opportunity to increase transparency by capturing the entire workflow, and to do so while connecting tools and services that make up the parts of the workflow, not requiring people to change all of their practices at once, and providing immediate efficiencies and value to the researcher AS they comply with requirements.
Easy, right? Obviously not.

16. Research Management Planning
What are you going to store?
Where and how are you going to store it?
Who will have access to it?
When will they have access to it?

17. Research Management Planning
What are you going to store?
Where and how are you going to store it?
Who will have access to it?
When will they have access to it?
PLAN AHEAD
Checklists and common structures are your best friend!

18. Ledgerwood Lab Experimental Archive

19. Campbell Lab

20. Corker Lab

21. When we share
Findable
Accessible
Interpretable & Reusable

22. Most likely to be sharing with your future self
When we share
Findable
Accessible
Interpretable & Reusable
Most likely to be sharing with your future self

23. When we share Findable Files have unique, persistent identifiers
Files are described with rich meta-data
Files are in a searchable resource

24. When we share Accessible
Files stored somewhere you’ll always have access to and collaborators have access to
What if you move schools?
What if about collaborators at other institutions/countries?
Files are in formats you’ll always be able to view
Open formats

25. When we share Interpretable & Reusable Files are described
Commenting of code
Code books/data dictionary for data
Process is tracked
Pre-registration
Version control
Content is licensed
CC-0 or CC-By
Makes it clear how reuse is allowed

26. These are applicable even for purely internal reuse
When we share
Findable
Accessible
Interpretable & Reusable
These are applicable even for purely internal reuse

27. Open Science Framework
free, open source

28. There’s more to it than sharing of discrete objects
There’s more to it than sharing of discrete objects. Think about using this as an opportunity to increase transparency by capturing the entire workflow, and to do so while connecting tools and services that make up the parts of the workflow, not requiring people to change all of their practices at once, and providing immediate efficiencies and value to the researcher AS they comply with requirements.
Easy, right? Obviously not.
OpenSesame

29. There’s more to it than sharing of discrete objects
There’s more to it than sharing of discrete objects. Think about using this as an opportunity to increase transparency by capturing the entire workflow, and to do so while connecting tools and services that make up the parts of the workflow, not requiring people to change all of their practices at once, and providing immediate efficiencies and value to the researcher AS they comply with requirements.
Easy, right? Obviously not.
OpenSesame

30. Help/questions Email Video courtney@cos.io stats-consulting@cos.io
Video
JASP and OSF:
R and OSF:
All webinars: COS youtube channel

31. Where to get help: Emails
OSF and JASP video: