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‘Open data’ is a popular term right now. It’s also ambiguous. What does it mean?
Open indicates availability: we have “open access” to things like roads and libraries — these are public goods, and anyone should be able to use them.
Open means ‘free,’ as in ‘free speech’: we are all entitled to it by fundamental right.
Open does not necessarily mean ‘anything goes’: you’ve gotta return books to the library, and in good condition too. Even on open roads, there are speed limits, and eventually there are tolls, plus construction and cleanup crews, etc.
Open does not necessarily mean ‘free’ as in without cost. For something to exist in an open state, a lot of energy and resources must go into keeping it so.
Open data can mean many things, but at its core, open data entails:
Access: open data must be available as a whole and at no more than a reasonable reproduction cost, presumably downloadable over the internet. The data must also be available in a convenient and modifiable form.
Reuse and Redistribution: the data must be provided under terms that permit reuse and redistribution, including the intermixing with other datasets. There should be no discrimination against fields of endeavor or against persons or groups. The data must be machine-readable. The data can be licensed to prevent changes and/or to ensure clear documentation of changes.
This is a modified version of the Open Knowledge Foundation’s Open Data definition.
Openness entails a state of possibility: by making data available for anyone to use it, we can dramatically broaden the scope of its potential value. We assert as a given that the production of open referral data can, will, and should happen. But we also assume that such value can (even must) be realized in such a way that the cost of its reliable reproduction is sustainably carried into the future, in order for this data to effectively meet our collective needs.
For the purposes of Open Referral, the concept of ‘open data’ is itself open to some degree of interpretation. Essentially, we are asking: how should this data be open?
Dear Group,
If I might parse it a bit more, I am okay with sharing information. However, there is a difference between sharing information and taking information from those whose labor produced the underlying data when paying for that labor is not acknowledged. From what I understand from the documents previously posted about the San Francisco implementation, people are bringing datasets to the table to share and people are mapping out a schema for an API. That’s nice; that’s sharing. But to go and scrape data originally produced by a non-profit that had to pay someone to keystroke every byte, and not to ask for permission, is illegal.
And that brings me back to a question I previously posted regarding the SF data, how often is that data updated? It is relatively easy to produce a one-time directory. It is much more difficult to keep it updated and accurate. APIs can potentially save a lot of labor and cost IF people are willingly sharing their labor. Note I said “labor” and not “information.”
Dale
Britanica has a similar definition.In common usage, theft is the taking of another person's property without that person's permission or consent with the intent to deprive the rightful owner of it.[1][2]
Even if economic conditions and business models make people feel like these issues are black and white, legally they certainly are not.Fair use is a limitation and exception to the exclusive right granted by copyright law to the author of a creative work. In United States copyright law, fair use is a doctrine that permits limited use of copyrighted material without acquiring permission from the rights holders. Examples of fair use include commentary, search engines, criticism, parody, news reporting, research, teaching, library archiving and scholarship. It provides for the legal, unlicensed citation or incorporation of copyrighted material in another author's work under a four-factor balancing test.
Going deeper, I wonder why I can find in-depth information about restaurants in my neighbourhood, including their location, hours, menus, reviews etc, and get that information from a variety of data providers and a variety of devices, but I can't do the same for nonprofit services (even though many of them are funded by government through taxes). I can't speak for the Open Referral project, but from my perspective, the answer to "What isn't I&R already doing that Open Referral intends to do?" is to create conditions whereby Yelp-style websites for human services can emerge.
Derek,Thanks. And I've mentioned one of these potential update models before, but I'll reiterate again. In the Michigan implementation we used the RTM product. A feature of this database was to send automated emails (i.e., no labor) to agencies on a quarterly basis with the email message containing the directory information for the agency. If no changes were needed, i.e, the data was accurate, nothing happened. If the data was inaccurate, then the agency corrected the information and it was returned to the database as an update. A confirmation email or phone call might be done by a 2-1-1 operator, i.e., the labor might be a phone call only.
Steve,
Thanks for your post as it serves to show that different implementations deal with different realities. Why the implementation in Arizona had those difficulties I do not know. Clive can speak to this better than me, but from my experience talking with folks who have implemented 2-1-1 applications and, also, HMIS applications, the experiences differ greatly by locale.
Regards,
Dale
From: OpenRe...@googlegroups.com [mailto:OpenRe...@googlegroups.com]
On Behalf Of Steve Eastwood
Sent: Monday, April 14, 2014 11:29 AM
To: OpenRe...@googlegroups.com
Cc: openre...@googlegroups.com
Subject: Re: [openreferral] On the name and purpose of Open Referral
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