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News from the Northwest and Beyond
Updated: 5 hours 52 min ago

DataFlash: LitCovid vs. COVID-19 Portfolio Tool

Mon, 2020-06-08 14:37

For those of you who are curious about the differences between two new COVID-19 tools, LitCovid and COVID-19 Portfolio Tool, here are some answers!

As you already know, LitCovid is a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus.  Though, LitCovid is limited to articles in PubMed, includes research on other coronaviruses such as MERS, divides the articles into different categories (e.g. Mechanism, Transmission, Diagnosis, and Treatment), and shows the countries of origin on a world map.

This contrasts with the “iSearch” COVID-19 Portfolio Tool, which like LitCovid is a comprehensive, expert-curated source for publications related to COVID-19.  Though, COVID-19 Portfolio Tool has the following features that distinguish it from LitCovid:

  1. includes both publications and preprints (the medRxiv, SSRN, arXiv, bioRxiv, Research Square and ChemRxiv);
  2. is curated by subject matter experts to focus coverage on SARS-CoV-2/COVID-19;
  3. allows searching of full text and/or supplemental data in addition to titles and abstracts;
  4. leverages the cutting-edge analytics available in our iSearch tool, including powerful search functionality and faceting;
  5. includes interactive visualizations that allows users to select topics within their search results for download or further queries; and
  6. makes it easy to download results at any point as a CSV or Excel file.
Categories: Data Science

DataFlash: LitCovid

Thu, 2020-05-28 10:44

There is a new literature search hub that is available for the 2019 novel Coroavirus that was developed as a collaboration between the journal Nature and the US National Institutes of Health’s intramural research programme.

LitCovid is a curated literature hub for tracking up to date scientific information about COVID-19.  Right now, it is the most thorough resource on the subject through providing access to a growing number of relevant articles in PubMed – i.e. about 17,000. Unlike doing the conventional keyword searches for “COVID-19” or “nCOV”, LitCovid has a sophisticated search function that identifies 35% more pertinent articles. As well, the articles are organized by topic as well as by geographic location.

 

Categories: Data Science

DataFlash: New and Free Virtual Science Conference in June 2020

Thu, 2020-04-23 10:13

We are pleased to announce that New England Science Bootcamp for Librarians will host a FREE virtual conference on June 11, 2020, from 6 A.M. – 1 P.M. PT | 9am – 4pm (US Eastern Time).

Topics will probably include, depending on speaker availability:

  • Vaccine research & manufacture
  • Virology
  • Making Health Devices in non-industrial settings
  • IRB and human subjects research  in the shifting landscape

Tentative Schedule

  • 9-10am                Session A
  • 10:15-10:45      Interstitial – Front Lines Stories
  • 11-12                    Session B
  • 12-1                      Lunch
  • 1-2                         Session C
  • 2:15-2:45            Interstitial – Front Lines Stories
  • 3-4                         Session D

The schedule of topics will be finalized and sent to all registrants soon.

This conference will run throughout the day, with access via a single link for the whole day that attendees will receive after registering. You may tune in as you have time or for the topics that interest you the most. More information and a detailed schedule will be available closer to the date of the event. Please register to get the most updated information sent to you.

Registration is available at https://forms.gle/whfu1H9nY2e8X3gS9

NER looks forward to seeing you online for a fun and informative conference! While NER had to cancel their in-person conference this year, they hope you will take advantage of this free professional development opportunity. While this conference is being organized in New England, they welcome attendance for anyone and anywhere.

Categories: Data Science