Open Science Framework Jeffrey Spies University of Virginia

Scientific Values Scientific Practices

Examples Journals strongly favor – Novel findings over replication – Positive over negative or inconclusive results – Confirmatory over exploratory analyses As a result, scientists engage in questionable behaviors The state of data sharing

Solution Transparency and Openness CC flickr:ccpixel;flickr:voxtheory

Be Practical Scientists have developed workflows that allow themselves to be successful in the current system Scientists must remain productive within the current system in order to acquire jobs, promotions, grants, etc.

Updated Solution Incentivize openness Don’t interfere with productivity Don’t make more work

Open Science Framework Web application Open source software (mostly Python) Focus on integrating and incentivize openness at the workflow level Make workflow more efficient

Open Science Framework 1.Content management system – Makes it easy to document, organize, and search the entire lifespan of a research project – Collects metadata at each stage 2.Collaboration tool – Real-time feedback 3.Version control system – Interface and abstraction layer to current VC tools – Projects can be forked 4.Scientific network 5.Open Science interface – Connect resources via APIs

Big Data Datasets so large that they are difficult to manage with traditional tools Simple statistical models with large amounts of data outperform elaborate models with smaller amounts This principle has the possibility to be transformative

Big Science Large-scale collaborations and openness to such a degree that it will be difficult to manage with current tools New tools need to be developed: