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Open Science Framework @ Duke

Tue, 09/05/2017 - 09:43

The Open Science Framework (OSF) is a free, open source project management tool developed and maintained by the Center for Open Science (COS). OSF offers many features that can help scholars manage their workflow and outputs throughout the research lifecycle. From collaborating effectively, to managing data, code, and protocols in a centralized location, to sharing project materials with the broader research community, the OSF provides tools that support openness, research integrity, and reproducibility. Some of the key functionalities of the OSF include:

  • Integrations with third-party tools that researchers already use (i.e., Box, Google Drive, GitHub, Mendeley, etc.)
  • Hierarchical organizational structures
  • Unlimited native OSF storage*
  • Built-in version control
  • Granular privacy and permission controls
  • Activity log that tracks all project changes
  • Built-in collaborative wiki and commenting pane
  • Analytics for public projects
  • Persistent, citable identifiers for projects, components, and files along with Digital Object Identifiers (DOIs) and Archival Resource Keys (ARKs) available for public OSF projects
  • And more!

Duke University is a partner institution with OSF, meaning  you can sign into the OSF using your NetID and affiliate your projects with Duke. Visit the Duke OSF page to see some Duke research projects and outputs from our community.

Duke University Libraries has also partnered with COS to host a workshop this fall entitled “Increasing Openness and Reproducibility in Quantitative Research.” This workshop will teach participants how they can increase the reproducibility of their work and will include hands-on exercises using the OSF.

Workshop Details
Date: October 3, 2017
Time: 9 am to 12 pm
Register: http://duke.libcal.com/event/3433537

If you are interested in affiliating an existing OSF project, want to learn more about how the OSF can support your workflow, or would like a demonstration of the OSF, please contact askdata@duke.edu.

*Individual file size limit of 5 GB. Users can upload larger files by connecting third party add-ons to their OSF projects.

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Fall Data and Visualization Workshops

Mon, 08/21/2017 - 11:20
2017 Data and Visualization Workshops

Visualize, manage, and map your data in our Fall 2017 Workshop Series.  Our workshops are designed for researchers who are new to data driven research as well as those looking to expand skills with new methods and tools. With workshops exploring data visualization, digital mapping, data management, R, and Stata, the series offers a wide range of different data tools and techniques. This fall, we are extending our partnership with the Graduate School and offering several workshops in our data management series for RCR credit (please see course descriptions for further details).

Everyone is welcome at Duke Libraries workshops.  We hope to see you this fall!

Workshop Series by Theme Data Management

09-13-2017 – Data Management Fundamentals
09-18-2017 – Reproducibility: Data Management, Git, & RStudio 
09-26-2017 – Writing a Data Management Plan
10-03-2017 – Increasing Openness and Reproducibility in Quantitative Research
10-18-2017 – Finding a Home for Your Data: An Introduction to Archives & Repositories
10-24-2017 – Consent, Data Sharing, and Data Reuse 
11-07-2017 – Research Collaboration Strategies & Tools 
11-09-2017 – Tidy Data Visualization with Python

Data Visualization

09-12-2017 – Introduction to Effective Data Visualization 
09-14-2017 – Easy Interactive Charts and Maps with Tableau 
09-20-2017 – Data Visualization with Excel
09-25-2017 – Visualization in R using ggplot2 
09-29-2017 – Adobe Illustrator to Enhance Charts and Graphs
10-13-2017 – Visualizing Qualitative Data
10-17-2017 – Designing Infographics in PowerPoint
11-09-2017 – Tidy Data Visualization with Python

Digital Mapping

09-12-2017 – Intro to ArcGIS Desktop
09-27-2017 – Intro to QGIS 
10-02-2017 – Mapping with R 
10-16-2017 – Cloud Mapping Applications 
10-24-2017 – Intro to ArcGIS Pro

Python

11-09-2017 – Tidy Data Visualization with Python

R Workshops

09-11-2017 – Intro to R: Data Transformations, Analysis, and Data Structures  
09-18-2017 – Reproducibility: Data Management, Git, & RStudio 
09-25-2017 – Visualization in R using ggplot2 
10-02-2017 – Mapping with R 
10-17-2017 – Intro to R: Data Transformations, Analysis, and Data Structures
10-19-2017 – Developing Interactive Websites with R and Shiny 

Stata

09-20-2017 – Introduction to Stata
10-19-2017 – Introduction to Stata 

 

 

 

 

 

 

 

 

 

 

 

 

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