Applicants are invited for Grand Challenges Explorations Round 11 for which the topic will be Increasing Interoperability of Social Good Data. The objective of this program 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.
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, middle ware, 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.
Submissions from partnerships and collaborations, particularly those that create interdisciplinary teams or groups are invited.
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