Enabling Seamless Data Sharing in Industry and Academia September 29 th 30th Workshop Goals What data is not being shared that should be and why Data sharing failures what went wrong Data sharing successes Identify best practices ID: 773589
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“Enabling Seamless Data Sharing in Industry and Academia” September 29th-30th
Workshop Goals What data is not being shared that should be, and why? Data sharing failures: what went wrong? Data sharing successes: Identify best practices Identify data sharing challenges
Data Sharing Challenges The sharing of private and competitive information Lack of incentives (especially in industry) Overhead costs (money & resources) Liability, preventing mistakes or data misuse Data as a living entity Complex regulations governing use
Potential Solutions Standardized data sharing licenses Integrated policy/technology framework with access controls & usage protection Incentivizing data sharing : Money, innovation, awards, building relationships, making data sharing easier
Broad Action items Data gathering and inquiry Community building Educational resource development and outreach Workshop Agenda & Final Report: http://cci.drexel.edu/mrc/news/2016-11-bigdatahubworkshop /