Rethinking Research Data | Kristin Briney | TEDxUWMilwaukee

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

The United States spends billions of dollars every year to publicly support research that has resulted in critical innovations and new technologies. Unfortunately, the outcome of this work, published articles, only provides the story of the research and not the actual research itself. This often results in the publication of irreproducible studies or even falsified findings, and it requires significant resources to discern the good research from the bad. There is way to improve this process, however, and that is to publish both the article and the data supporting the research. Shared data helps researchers identify irreproducible results. Additionally, shared data can be reused in new ways to generate new innovations and technologies. We need researchers to “React Differently” with respect to their data to make the research process more efficient, transparent, and accountable to the public that funds them.

Kristin Briney is a Data Services Librarian at the University of Wisconsin-Milwaukee. She has a Ph.D. in physical chemistry, a Masters in library and information studies, and currently works to help researchers manage their data better. She is the author of “Data Management for Researchers” and regular blogs about data best practices at dataabinitio.com.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

Authoring Person(s) Name: 
Kristin Briney
Authoring Organization(s) Name: 
University of Wisconsin-Milwaukee
License - link to legal statement specifying the copyright status of the learning resource: 
Standard YouTube License
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Data access
Data management
Data policy
Data publication
Scientific reproducibility
Published / Broadcast: 
Tuesday, November 10, 2015
Publisher - organization credited with publishing or broadcasting the learning resource: 
TEDx
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Moving Image - explains a concept or tells a story by using sound plus a sequence of visual images that give the illusion of continuous movement, e.g., movie.
Contact Person(s): 
Kristin Briney
Contact Organization(s): 
University of Wisconsin-Milwaukee
Educational Info
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.
Target Audience - intended audience for which the learning resource was created: 
Data manager
Data policymaker
Data professional
Early-career research scientist
Graduate student
Librarian
Research faculty
Undergraduate student
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
Up to 1 hour