When I first saw the headline I was imagining a mega dataset where all
variables that are same across datasets are linked together somehow. (That
would have been very relevant for our work at Metastring foundation).
Anyhow.

BTW, https://magda.io/ is a federated approach at dataset curation by the
same people behind https://data.gov.au/

Akshay


On Mon, Mar 2, 2020 at 6:27 PM Anand Chitipothu <[email protected]>
wrote:

> On Mon, Mar 2, 2020 at 6:03 PM Saketha Ramanujam <
> [email protected]> wrote:
>
>> Hello all,
>>
>> This is Saketha Ramanujam an independent researcher from Visakhapatnam.
>> I've been a passive member in the discussions that happen in this group.
>> Great thanks to those who post immediate and useful responses to all the
>> questions over various topics.
>>
>>
>> We all have either individually or as teams have compiled, scraped and
>> prepared a lot of datasets which might not be available straight away.
>> If somebody else wants to access them or look whether if some data set
>> has already been scraped/compiled by someone, it's kind of hard right now.
>> They either send an email here or spend a lot of time searching for the
>> same. My idea is that we have a collection of datasets displayed/hosted
>> using tools like datasette <https://github.com/simonw/datasette>.
>>
>> Please let me know if this is actually doable possible for us to do
>> something as a community.
>>
>
> The problem is not lack of centralization, but lack of discoverability.
>
> I think the first step is to publish the datasets that you already have.
> Datasette is a good tool for that.
> The second step is to make it discoverable. Google has a dataset search
> service[1] and that is based on schema.org markups[2], which are pretty
> easy to include on your web page.
>
> In addition to that it would probably be a good idea to send a mail this
> list when you publish a dataset and it may also be a good idea to keep a
> catalog of all the datasets referenced in this mailing list in a github
> repo.
>
> Any thoughts?
>
> [1]: https://datasetsearch.research.google.com/
> [2]: https://support.google.com/webmasters/thread/1960710
>
> Anand
>
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