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{ | |
title: "title of data", // eg: 'the xyz murder', 'blizzard of 2011', 'chelmsburry bike path', 'MBTA green line', 'bus stop schedule event' etc | |
type: "type of data", // eg: event, physical feature | |
set: "what data set data is from if any", // if data is from national data set e.g. 2000 census | |
category: [category, category], // develop this taxonomy | |
description: "description of data", // text description of data | |
start: RFC3339DateTime, // optional start date | |
end: RFC3339DateTime, // optional end date | |
geometry : {}// optional geojson location feature (http://geojson.org/geojson-spec.html) | |
} | |
} |
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This is a really good point. I suppose that hashing IDs to represent the data is a good way for preventing conflicts. I would think, however, that our validators would be have to evaluate the data in a more holistic way.
While not wildly complicated, this International Open Civic Data Service will have several complex points, the most of which I believe is this one that you raise; dealing with and merging duplicates. Consider for example, two very similar datum from two different data sets. What is the desired behavior?