[Sigmetrics] 1findr: research discovery & analytics platform

Éric Archambault eric.archambault at science-metrix.com
Tue Apr 24 16:18:22 EDT 2018 

David,

Thanks for your encouraging comments. You are right, we don't do full text indexing search - yet. We want to get there though as a bibliometrician I have always been a tad skeptical about the need to go much beyond high quality metadata. When you can't find a paper and you have title, journal, abstract, references/citations, chances are the paper won't be all that sharp for most of the mainstream applications. Probably the term is not that key if it can't be found anywhere in the metadata. I'm not saying there are absolutely no cases for searching in the metadata but most of the people want sharp results, and though we are all impressed by zillions of results, we rarely if ever use the long tail. This only became stronger with Google that made us lazy, naïve, and not curious enough. 1findr is not perfect as it is, but it presents a nice compromise being sharp and being extensive enough. But duly noted we may miss a few diamonds, and have a shorter tail in our results.

Over time, we hope to have more publishers helping us built a high quality full-text. We've started with Karger who likes to think outside the box. We've started experimenting with the Frontiers corpus as well. This is still small scale but we are careful and reflective about our development. Once we'll have determined the investments in technical complexity and index size is worth our while to improve the user experience, we'll start deploying full-text indexing on a larger but progressive scale, at least for those publishers who want their material to be discoverable to the maximum extent.


Éric


Eric Archambault, PhD
CEO  |  Chef de la direction
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From: SIGMETRICS <sigmetrics-bounces at asist.org> On Behalf Of David Wojick
Sent: April 24, 2018 2:16 PM
To: sigmetrics at mail.asis.org
Subject: Re: [Sigmetrics] 1findr: research discovery & analytics platform

It appears not to be doing full text search, which is a significant limitation. I did a search on "chaotic" for 2018 and got 527 hits. Almost all had the term in the title and almost all of the remainder had it in the abstract. Normally with full text, those with the term only in the text are many times more than those with it in title, often orders of magnitude more.

But the scope is impressive, as is the ability to filter for OA.

David

David Wojick, Ph.D.
Formerly Senior Consultant for Innovation
DOE OSTI https://www.osti.gov/


At 08:00 AM 4/24/2018, you wrote:

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Greetings everyone,

Today, 1science announced the official launch of 1findr, its platform for research discovery and analytics. Indexing 90 million articles­of which 27 million are available in OA­it represents the largest curated collection worldwide of scholarly research. The platform aims to include all articles published in peer-reviewed journals, in all fields of research, in all languages and from every country.

Here are a few resources if you're interested in learning more:

*             Access 1findr platform: www.1findr.com<http://www.1findr.com>
*             Visit the 1findr website: www.1science.com/1findr<http://www.1science.com/1findr>
*             Send in your questions: 1findr at 1science.com<mailto:1findr at 1science.com>
*             See the press release: www.1science.com/1findr-public-launch<http://www.1science.com/1findr-public-launch>

Sincerely,

Grégoire

Grégoire Côté
President | Président
Science-Metrix
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Canada

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