SlideShare a Scribd company logo
1 of 59
Download to read offline
Open Science Framework
Enabling open practices and
increasing organization
Scientific Ideals
- Innovative ideas
- Reproducible results
- Accumulation of knowledge
What’s the problem?
- Low power
- Questionable research practices
- Overabundance of positive results
- Ignoring null results
- Lack of replication
- Limitations of NHST
Sterling, 1959; Cohen, 1962; Lykken, 1968; Tukey, 1969; Greenwald, 1975;
Meehl, 1978; Rosenthal, 1979
What’s the problem?
Incentive structure
- null results and replications are hard to publish
Personal barriers
- motivated reasoning, getting it right isn’t as concrete
as getting it published

(Nosek, Spies, Motyl, 2012; Kunda, 1990; Trope & Liberman, 2010)
What’s the solution?
- Transparency
- Distinguishing confirmatory v. exploratory
- Replication
- Aggregation of evidence
- Narrow use of NHST

Sterling, 1959; Cohen, 1962; Lykken, 1968; Tukey, 1969; Greenwald, 1975;
Meehl, 1978; Rosenthal, 1979
How can we solve this?

INFRASTRUCTURE
COMMUNITY
METASCIENCE
Metascience
- Conduct research to better understand the problem
- Reproducibility Project, Archival Project
Community
- Unite technological initiatives
- Unite researchers
- Enable common standards and rewards
Community

Endorsements and adoptions:
Bio, Tech & Beyond, Databrary, DataOne, Dataverse Network Project, Duraspace, EAPP, Fetzer
Franklin Fund, Figshare, LJAF, Mozilla Science Lab, Network for Open Scientific Innovation, Open
Science Federation, OpenfMRI, Prometheus Research, Psi Chi, PsychoPy, Reproducibility Initiative,
Science Exchange, Cortex, European Journal of Personality, Journal of Research in Personality, Psi
Chi Journal, Psychological Science, Journal of Social Psychology, Human Computation, Journal of
Vision
Infrastructure

Support the way researchers work right now
Enable: open materials, data; registration of hypotheses; pre/post data collection
reports; tools to connect projects and initiatives and to increase their audiences; easy,
online publishing of any results and simple distribution of those ideas
Infrastructure
Infrastructure
Open Science Framework
osf.io
Example Projects
Use case: Research project
Use case: Journal
Use case: Idea distribution
What’s coming next?
- Ability to annotate everything in OSF
- Connections to many parts of the workflow
- Lots of collaboration
Near term additions...
Groups functionality

Form integration for registries
(like AEA, clinical trials)

Comments

Desktop drop (like DropBox)

GUID shortlinks (no bigger than
DOIs)

Notifications

API for community backup

Visualizations

User profiles for credit viewing

Backups, mirrors
Q&A
Contact information:
Andrew Sallans (andrew@cos.io)

More Related Content

Similar to Open Science Framework (OSF)

Ict와 사회과학지식간 학제간 연구동향(23 march2013)
Ict와 사회과학지식간 학제간 연구동향(23 march2013)Ict와 사회과학지식간 학제간 연구동향(23 march2013)
Ict와 사회과학지식간 학제간 연구동향(23 march2013)
Han Woo PARK
 

Similar to Open Science Framework (OSF) (20)

Bias and the Data Lifecycle
Bias and the Data LifecycleBias and the Data Lifecycle
Bias and the Data Lifecycle
 
Developing and sharing tools for bioelectromagnetic research
Developing and sharing tools for bioelectromagnetic researchDeveloping and sharing tools for bioelectromagnetic research
Developing and sharing tools for bioelectromagnetic research
 
Ebi
EbiEbi
Ebi
 
Open Knowledge and University of Cambridge European Bioinformatics Institute
Open Knowledge and University of Cambridge European Bioinformatics InstituteOpen Knowledge and University of Cambridge European Bioinformatics Institute
Open Knowledge and University of Cambridge European Bioinformatics Institute
 
The culture of researchData
The culture of researchDataThe culture of researchData
The culture of researchData
 
The culture of researchData
The culture of researchData The culture of researchData
The culture of researchData
 
The Culture of Research Data, by Peter Murray-Rust
The Culture of Research Data, by Peter Murray-RustThe Culture of Research Data, by Peter Murray-Rust
The Culture of Research Data, by Peter Murray-Rust
 
Ict와 사회과학지식간 학제간 연구동향(23 march2013)
Ict와 사회과학지식간 학제간 연구동향(23 march2013)Ict와 사회과학지식간 학제간 연구동향(23 march2013)
Ict와 사회과학지식간 학제간 연구동향(23 march2013)
 
International scholarly infrastructures
International scholarly infrastructuresInternational scholarly infrastructures
International scholarly infrastructures
 
CODATA International Training Workshop in Big Data for Science for Researcher...
CODATA International Training Workshop in Big Data for Science for Researcher...CODATA International Training Workshop in Big Data for Science for Researcher...
CODATA International Training Workshop in Big Data for Science for Researcher...
 
Open Data in a Big Data World: easy to say, but hard to do?
Open Data in a Big Data World: easy to say, but hard to do?Open Data in a Big Data World: easy to say, but hard to do?
Open Data in a Big Data World: easy to say, but hard to do?
 
What is Open Science and what role does it play in Development?
What is Open Science and what role does it play in Development?What is Open Science and what role does it play in Development?
What is Open Science and what role does it play in Development?
 
OpenML Tutorial: Networked Science in Machine Learning
OpenML Tutorial: Networked Science in Machine LearningOpenML Tutorial: Networked Science in Machine Learning
OpenML Tutorial: Networked Science in Machine Learning
 
Open Data and the Social Sciences - OpenCon Community Webcast
Open Data and the Social Sciences - OpenCon Community WebcastOpen Data and the Social Sciences - OpenCon Community Webcast
Open Data and the Social Sciences - OpenCon Community Webcast
 
New e-Science Edinburgh Late Edition
New e-Science Edinburgh Late EditionNew e-Science Edinburgh Late Edition
New e-Science Edinburgh Late Edition
 
Helping Users Discover Perspectives: Enhancing Opinion Mining with Joint Topi...
Helping Users Discover Perspectives: Enhancing Opinion Mining with Joint Topi...Helping Users Discover Perspectives: Enhancing Opinion Mining with Joint Topi...
Helping Users Discover Perspectives: Enhancing Opinion Mining with Joint Topi...
 
Why Research?
Why Research?Why Research?
Why Research?
 
Holmes "Institutional Infrastructure for Data Sharing"
Holmes "Institutional Infrastructure for Data Sharing"Holmes "Institutional Infrastructure for Data Sharing"
Holmes "Institutional Infrastructure for Data Sharing"
 
The Future of Research (Science and Technology)
The Future of Research (Science and Technology)The Future of Research (Science and Technology)
The Future of Research (Science and Technology)
 
Linking Knowledge with Action for Sustainable Development - William C. Clark
Linking Knowledge with Action for Sustainable Development - William C. ClarkLinking Knowledge with Action for Sustainable Development - William C. Clark
Linking Knowledge with Action for Sustainable Development - William C. Clark
 

More from Andrew Sallans

DMVitals: A Data Management Assessment Recommendations Tool - IASSIST 2012
DMVitals: A Data Management Assessment Recommendations Tool - IASSIST 2012DMVitals: A Data Management Assessment Recommendations Tool - IASSIST 2012
DMVitals: A Data Management Assessment Recommendations Tool - IASSIST 2012
Andrew Sallans
 
DataONE User's Group Lifecycle Management: Planning
DataONE User's Group Lifecycle Management:  PlanningDataONE User's Group Lifecycle Management:  Planning
DataONE User's Group Lifecycle Management: Planning
Andrew Sallans
 

More from Andrew Sallans (14)

Improving Integrity, Transparency, and Reproducibility Through Connection of ...
Improving Integrity, Transparency, and Reproducibility Through Connection of ...Improving Integrity, Transparency, and Reproducibility Through Connection of ...
Improving Integrity, Transparency, and Reproducibility Through Connection of ...
 
Badges to Acknowledge Open Practices
Badges to Acknowledge Open PracticesBadges to Acknowledge Open Practices
Badges to Acknowledge Open Practices
 
DMPTool: Integration with other open science software
DMPTool:  Integration with other open science softwareDMPTool:  Integration with other open science software
DMPTool: Integration with other open science software
 
Aligning library services with emerging research data needs
Aligning library services with emerging research data needsAligning library services with emerging research data needs
Aligning library services with emerging research data needs
 
Hands-On Data Management Planning for Life Sciences
Hands-On Data Management Planning for Life SciencesHands-On Data Management Planning for Life Sciences
Hands-On Data Management Planning for Life Sciences
 
DMVitals: A Data Management Assessment Recommendations Tool - IASSIST 2012
DMVitals: A Data Management Assessment Recommendations Tool - IASSIST 2012DMVitals: A Data Management Assessment Recommendations Tool - IASSIST 2012
DMVitals: A Data Management Assessment Recommendations Tool - IASSIST 2012
 
DataONE User's Group Lifecycle Management: Planning
DataONE User's Group Lifecycle Management:  PlanningDataONE User's Group Lifecycle Management:  Planning
DataONE User's Group Lifecycle Management: Planning
 
DMPTool: a community tool
DMPTool: a community toolDMPTool: a community tool
DMPTool: a community tool
 
Data Management Plan Advising? A New Business Venture for Libraries
Data Management Plan Advising?  A New Business Venture for LibrariesData Management Plan Advising?  A New Business Venture for Libraries
Data Management Plan Advising? A New Business Venture for Libraries
 
UVa Library Scientific Data Consulting Group (SciDaC): New Partnerships and...
UVa Library Scientific Data Consulting Group (SciDaC):  New Partnerships and...UVa Library Scientific Data Consulting Group (SciDaC):  New Partnerships and...
UVa Library Scientific Data Consulting Group (SciDaC): New Partnerships and...
 
NSF Data Management Plan Case Study: UVa’s Response.
NSF Data Management Plan Case Study:  UVa’s Response.NSF Data Management Plan Case Study:  UVa’s Response.
NSF Data Management Plan Case Study: UVa’s Response.
 
Practical Applications of e-Science
Practical Applications of e-SciencePractical Applications of e-Science
Practical Applications of e-Science
 
Understanding the Big Picture of e-Science
Understanding the Big Picture of e-ScienceUnderstanding the Big Picture of e-Science
Understanding the Big Picture of e-Science
 
NSF Data Management Plan - Implications for Librarians
NSF Data Management Plan - Implications for LibrariansNSF Data Management Plan - Implications for Librarians
NSF Data Management Plan - Implications for Librarians
 

Recently uploaded

Recently uploaded (20)

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu SubbuApidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelNavi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 

Open Science Framework (OSF)

  • 1. Open Science Framework Enabling open practices and increasing organization
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. Scientific Ideals - Innovative ideas - Reproducible results - Accumulation of knowledge
  • 7. What’s the problem? - Low power - Questionable research practices - Overabundance of positive results - Ignoring null results - Lack of replication - Limitations of NHST Sterling, 1959; Cohen, 1962; Lykken, 1968; Tukey, 1969; Greenwald, 1975; Meehl, 1978; Rosenthal, 1979
  • 8. What’s the problem? Incentive structure - null results and replications are hard to publish Personal barriers - motivated reasoning, getting it right isn’t as concrete as getting it published (Nosek, Spies, Motyl, 2012; Kunda, 1990; Trope & Liberman, 2010)
  • 9. What’s the solution? - Transparency - Distinguishing confirmatory v. exploratory - Replication - Aggregation of evidence - Narrow use of NHST Sterling, 1959; Cohen, 1962; Lykken, 1968; Tukey, 1969; Greenwald, 1975; Meehl, 1978; Rosenthal, 1979
  • 10.
  • 11. How can we solve this? INFRASTRUCTURE COMMUNITY METASCIENCE
  • 12. Metascience - Conduct research to better understand the problem - Reproducibility Project, Archival Project
  • 13. Community - Unite technological initiatives - Unite researchers - Enable common standards and rewards
  • 14. Community Endorsements and adoptions: Bio, Tech & Beyond, Databrary, DataOne, Dataverse Network Project, Duraspace, EAPP, Fetzer Franklin Fund, Figshare, LJAF, Mozilla Science Lab, Network for Open Scientific Innovation, Open Science Federation, OpenfMRI, Prometheus Research, Psi Chi, PsychoPy, Reproducibility Initiative, Science Exchange, Cortex, European Journal of Personality, Journal of Research in Personality, Psi Chi Journal, Psychological Science, Journal of Social Psychology, Human Computation, Journal of Vision
  • 15. Infrastructure Support the way researchers work right now Enable: open materials, data; registration of hypotheses; pre/post data collection reports; tools to connect projects and initiatives and to increase their audiences; easy, online publishing of any results and simple distribution of those ideas
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.
  • 44.
  • 45.
  • 46.
  • 47.
  • 48.
  • 49.
  • 50.
  • 54. Use case: Idea distribution
  • 55. What’s coming next? - Ability to annotate everything in OSF - Connections to many parts of the workflow - Lots of collaboration
  • 56.
  • 57. Near term additions... Groups functionality Form integration for registries (like AEA, clinical trials) Comments Desktop drop (like DropBox) GUID shortlinks (no bigger than DOIs) Notifications API for community backup Visualizations User profiles for credit viewing Backups, mirrors
  • 58. Q&A