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Potential Funding Opportunity

From: Gordon D.
Sent on: Monday, March 25, 2013 9:08 AM

Opportunity:

The goal of this challenge is to solicit new and innovative approaches to increase the interoperability of data that can be used for social good. We are looking for approaches that deal with both the technological and policy barriers to achieving interoperability, and encourage projects that embrace the complexity of these issues. We seek solutions that span issue areas (e.g. education, health, etc.) and/or geographies to the widest extent possible. Solutions that would be useful for those working in both the impact investing/social enterprise space, as well as the philanthropic/nonprofit worlds are acceptable. We will consider submissions that are focused on a single issue area or geography if the solution as presented could be used or adapted for other causes or places. In these cases, it will be important for applications to describe how the solution could be applied to a different issue or location.


  • Improving the availability and use of program impact data by bringing together data from multiple organizations operating in the same field and geographical area;
  • Enabling combinations of data through application programming interface (APIs), taxonomy crosswalks, classification systems, middleware, natural language processing, and/or data sharing agreements;
  • Reducing inefficiency for users entering similar information into multiple systems through common web forms, profiles, apps, interfaces, etc.;
  • Creating new value for users trying to pull data from multiple sources;
  • Providing new ways to access and understand more than one data set, for example, through new data visualizations, including mashing up government and other data;
  • Identifying needs and barriers by experimenting with increased interoperability of multiple data sets;
  • Providing ways for people to access information that isn't normally accessible (for using natural language processing to pull and process stories from numerous sources) and combing that information with open data sets.

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