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Definition of Open Data/Open Source
Formal Definitions:
•Open Data:
    Data and metadata are free and available for use without restriction; data are re-usable without requiring further permission.
•Open Source:
    A method for collaborative development of software through peer input, review, and transparency. Methods, algorithms, and source code will be made available by participants to all.
In the Context  of IntelliDrive Mobility:
      Provide a Web location for broad sharing of  multi-source and multi-modal IntelliDrive data and source code while adhering to open source and detailed governance rules that protect the integrity, privacy, and quality of the data.
(Randy) We’ve been compiling research on the concepts of open data and open source.  There are a number of ways that these terms are defined and used in the real-world.  One of the key things that we want to stress is that we are providing our working definitions, and that the input from this workshop and additional efforts will help us clarify our intent in pursuing how we execute open data environments and open source collaboration.

Starting with open data, the concept is to provide data that is available for use without restriction.  We are hoping to adopt this definition in our effort to acquire data sets for seeding the open data environment.  By allowing the data to be reused without restriction, we believe we’ll stimulate the most innovative thinking about new applications.  However, what we don’t know is whether and how much data we can get with this restriction in place.

With regard to open source, we believe that the availability of source code will speed development of new applications.  In keeping the source code open, we’ll be able to improve upon it as collaborators contribute improvements back into the environment as well as engage collaborators who would not traditionally be involved.

In applying these concepts to IntelliDrive Mobility, we have identified the need to develop governance; rules of conduct, access, and operations; and to resolve issues associated with privacy, security, data quality, and liability, among other policy issues.  These will be addressed further in the discussion of the policy roadmap.  For this session, we are looking to provide you with definitions in order to get your thoughts on why this will work or how it might not work.