It would be useful to have a list of particularly _charismatic_ datasets that we can bring up when explaining IPFS. These should be datasets whose value that people can immediately relate to. Framing your explanations around these examples makes it easier to explain the cultural & economic value of IPFS in consistent, compelling ways.
I wasn't sure where this list should live, so I made a ticket here.
Internet Archive (see ipfs/archives#39)
Open Street Maps (see @mikolalysenko's work)
NY Times: Dennis Cooper’s vanishing work shows why we shouldn’t trust the cloud.
@diasdavid pointed out that the ipfs/archives repo has a hearty list of datasets that might be contenders for this list https://github.com/ipfs/archives/issues
The Internet Archive would be a good one, and Neocities.
+1 for this list!
cc @davidar
On Thu, Aug 4, 2016 at 14:51 Richard Littauer [email protected]
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The Internet Archive would be a good one, and Neocities.
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The ExAC (Exome Aggregation Consortium) dataset http://exac.broadinstitute.org/about hosted by Broad Institute at MIT
NASA open data https://open.nasa.gov/open-data/
Article: You Can Now Access All Of NASA's Research Online For Free
Edit: I thought about this. Is open source code really an intuitive dataset? It depends on the audience if people can immediately relate to the loss. If developers can remember a broken dependency that would be it. But I guess it's hard to explain to non-developers.
For libraries, the Library of Congress Linked Data, especially the Subject Headings, are definitely a compelling dataset. But that's probably too niche.
LOCKSS: Lots Of Copies Keep Stuff Safe The LOCKSS Program, based at Stanford University Libraries, provides libraries and publishers with award-winning, low-cost, open source digital preservation tools to preserve and provide access to persistent and authoritative digital content.
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NASA open data https://open.nasa.gov/open-data/
Article: You Can Now Access All Of NASA's Research Online For Free