[okfn-labs] Frictionless Data Vision and Roadmap

[Matthew Fullerton]

Hi Rufus,
I would like to upload such a data package, could you either create a
repository "github.com/datasets/ex-test-schema" (or similar) and give me
commit rights, or give me repo create rights on github.com/datasets?

Best,
Matt




On 25 February 2014 12:57, Rufus Pollock <rufus.pollock at okfn.org> wrote:

> Hmmm, good question.
>
> - https://github.com/datasets has a good selection of data packages but
> not sure any one exploits all of the spec
>
> - Double line breaks: not sure any of the "core" datasets have this but
> have certainly  worked with double line breaks (that is more about your CSV
> parser than the data package). I'd just suggest creating one for your
> testing purposes
>
> Anyway good questions and perhaps we should create an exemplar test data
> package along the lines you suggest - we already have some example data
> packages on https://github.com/datasets with prefix "ex-" and this would
> make a good addition.
>
> Rufus
>
> On Saturday, 22 February 2014, Matthew Fullerton <matt.fullerton at gmail.com>
> wrote:
>
>> Hi Rufus,
>> Is there a data package available which exploits all aspects of the
>> specification and has exotic things in the CSV (double line breaks!?)
>> for testing purposes?
>>
>> Thanks,
>> Matt
>>
>> On 23 January 2014 10:51, Rufus Pollock <rufus.pollock at okfn.org> wrote:
>> > Hi Matt,
>> >
>> > That would be fantastic. I note some initial work has been done so you
>> > already have a bit of a start on this. More info in this issue:
>> >
>> > https://github.com/okfn/data.okfn.org/issues/24
>> >
>> > Plus you can check out the current appscript "macro"
>> >
>> > Rufus
>> >
>> >
>> >
>> >
>> > On 22 January 2014 23:02, Matthew Fullerton <matt.fullerton at gmail.com>
>> > wrote:
>> >>
>> >> I really like the vision. I could work on the Google Spreadsheets
>> >> "Integration".
>> >>
>> >> -Matt
>> >>
>> >>
>> >> On 21 January 2014 15:03, Rufus Pollock <rufus.pollock at okfn.org>
>> wrote:
>> >>>
>> >>> There is now a short Frictionless Data "vision" doc online at:
>> >>>
>> >>> http://data.okfn.org/vision
>> >>>
>> >>> It is based on input from various people and comments would be warmly
>> >>> welcome. I've excerpted some of it below for those who prefer info in
>> the
>> >>> mail client.
>> >>>
>> >>> Regards,
>> >>>
>> >>> Rufus
>> >>>
>> >>> ## Frictionless Data Ecosystem
>> >>>
>> >>> There's too much friction working with data - friction getting data,
>> >>> friction processing data, friction sharing data.
>> >>>
>> >>> This friction stops people doing stuff: stops them creating, sharing,
>> >>> collaborating, and using data - especially amongst more distributed
>> >>> communities.
>> >>>
>> >>> It kills the cycles of find, improve, share that would make for a
>> >>> dynamic, productive and attractive (open) data ecosystem.
>> >>>
>> >>> We need to make an ecosystem that, like open-source for software, is
>> >>> useful and attractive to those without any principled interest, the
>> vast
>> >>> majority who simply want the best tool for the job, the easiest route
>> to
>> >>> their goal.
>> >>>
>> >>> We think that by getting a few key pieces in place we can reduce
>> friction
>> >>> enough to revolutionize how the (open) data ecosystem operates with
>> >>> massively improved data quality, utilization and sharing.
>> >>>
>> >>> We think this because there's a multiplier here that means relatively
>> >>> small changes can have big effects. This multiplier is Network
>> effects: the
>> >>> utility of a particular standard, pattern or even tool depends on how
>> many
>> >>> other people are using it. This means that creating a critical mass
>> of use
>> >>> around the tooling and standards will have a huge effect. This isn't
>> easy.
>> >>> But after working on these issues for nearly a decade we think the
>> time is
>> >>> right.
>> >>>
>> >>> ## A Metaphor
>> >>>
>> >>> Today, when you decide to cook, the ingredients are readily available
>> at
>> >>> local supermarkets or even already in your kitchen. You don't need to
>> travel
>> >>> to a farm, collect eggs, mill the corn, cure the bacon etc - as you
>> once
>> >>> would have done! Instead, thanks to standard systems of measurement,
>> >>> packaging, shipping (e.g. containerization) and payment ingredients
>> can get
>> >>> from the farm direct to my local shop or even my door.
>> >>>
>> >>> But with data we're still largely stuck at this early stage: every
>> time
>> >>> you want to do an analysis or build an app you have to set off around
>> the
>> >>> internet to dig up data, extract it, clean it and prepare it before
>> you can
>> >>> even get it into your tool and begin your work proper.
>> >>>
>> >>> What do we need to do for the working with data to be like cooking
>> today
>> >>> - where you get to spend your time making the cake (creating
>> insights) not
>> >>> preparing and collecting the ingredients (digging up and cleaning
>> data)?
>> >>>
>> >>> The answer: radical improvements in the "logistics2 of data associated
>> >>> with specialisation and standardisation. In analogy with food we
>
>
>
> --
>
>
> * Rufus Pollock Founder and Executive Director | skype: rufuspollock |
> @rufuspollock <https://twitter.com/rufuspollock> The Open Knowledge
> Foundation <http://okfn.org/> Empowering through Open Knowledge
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