Re: [datadiscovery] UTC 8pm, Tuesday 2 Nov.: A kickoff discussion with Dr....

Dear Ming,
Thanks so much for recording and posting the presentation.
Helping repositories make their datasets more discoverable and
useful has been a primary goal of the DDPIG since its inception,
and use of schema.org markup is mentioned in Recommendation 9 of
our Best Practices for Data Repositories: "Make records easily
indexed and searchable by major web search engines".
I interpreted Natasha's suggestion regarding the focus a new
DDPIG group that it should work with the schema.org community on
standardizing how datasets are described, perhaps recommending new
attributes, etc. I personally feel the group (task force) should
incorporate best practices and interactions with the respective
communities also working on
href="https://www.w3.org/TR/vocab-dcat/">Vocab-DCAT and W3C
standards for
href="https://www.w3.org/standards/techs/dataontheweb">data on
the web in general, with an end goal of producing a document
(and RDA output) with specific recommendations to repositories on
how to best use these technologies for making their data
discoverable. I realize google has already provided
moz-do-not-send="true"
href="https://developers.google.com/search/docs/data-types/datasets">guidelines
for using schema.org for describing datasets, so our
recommendations could address the tradeoffs between using
schema.org and DCAT, with perhaps some further implementation
guidelines.

I'm interested in hearing from others what sounds like a good
approach for this new group.

Cheers,
SiriJodha
On 11/2/17 6:44 PM, mingfang wrote:

cite="mid:***@***.***">

Dear All,

I have posted recording of today's session with Natasha in
the RDA DDP IG wiki space. Here is
href="https://www.rd-alliance.org/making-data-discoverable-web-search-engines"
moz-do-not-send="true">the link. The recording is an
hour long, about 95MB.

A following up action will be to draft a proposal for a new
task force within this DDP IG. The scope of this new task
force is open for discussion, it may include exchanging
experience of implementing
moz-do-not-send="true">schema.org markup and
observing/measuring benefit over a period of time, among many
other possibilities. If you would like to co-lead the task
force or contribute to directions of the task force, please
let me (or three other co-chairs of the interest group: Anita,
Fotis and SiriJodha) know.

Again, thanks Natasha and those who participated today, we
had a good
discussion.

Regards,
Ming

On 26 October 2017 at 21:20, Mingfang
Wu <
href="mailto:***@***.***" target="_blank"
moz-do-not-send="true">***@***.***>
wrote:

.8ex;border-left:1px #ccc solid;padding-left:1ex">

Dear All,

I am glad to inform you that Dr.
Natasha Noy from Research at Google has
accepted our invitation to introduce us
the effort Google has put into data
discovery and Google's guidelines for data
repositories to make data more easily
discoverable by web search engines.

You may recall that our  Best Practices
Task Force has drafted
href="https://docs.google.com/document/d/1b7YuUkUzyCGAxui8HGp1L-sDFi_-iS6jy_ya-N-kQFU/edit?usp=sharing"
target="_blank" moz-do-not-send="true">a
white paper
"Data Discovery Paradigms: User
Requirements and Recommendations for Data
Repositories", which recommends ten best
practices for data repositories to address
user requirements of finding data.  One of
the recommendations is to make metadata
records easily index-able and search-able
by major search engines. I am sure Dr.
Noy's talk will provide us with some
hands-on guidelines on how to implement
this recommendation. 

Please mark the following date and time in
your calendar for this kickoff talk and
discussion.

When:

UTC-time: Thursday, 2 Nov. 2017 at 8:00pm;

San Francisco: Thursday, 2 Nov. 2017 at 1:00pm;

New York: Thursday, 2 Nov. 2017 at 4:00pm;

London: Thursday, 2 Nov. 2017 at 8:00pm;

Melbourne: Friday 3 Nov. 2017 at 7:00am

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Hope to see more of you online for this event!

Regards,
Ming
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Building F,
Level 6, 900
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Road,
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Siri-Jodha Singh KHALSA, Ph.D., SMIEEE
National Snow and Ice Data Center
University of Colorado
Boulder, CO 80309-0449 Phone: 1-303-492-1445 GV: 1-303-736-9976
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http://orcid.org/0000-0001-9217-5550