SUBSCRIBE
SUBSCRIBE
EXPLORE +
  • About infoDOCKET
  • Academic Libraries on LJ
  • Research on LJ
  • News on LJ
  • Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Libraries
    • Academic Libraries
    • Government Libraries
    • National Libraries
    • Public Libraries
  • Companies (Publishers/Vendors)
    • EBSCO
    • Elsevier
    • Ex Libris
    • Frontiers
    • Gale
    • PLOS
    • Scholastic
  • New Resources
    • Dashboards
    • Data Files
    • Digital Collections
    • Digital Preservation
    • Interactive Tools
    • Maps
    • Other
    • Podcasts
    • Productivity
  • New Research
    • Conference Presentations
    • Journal Articles
    • Lecture
    • New Issue
    • Reports
  • Topics
    • Archives & Special Collections
    • Associations & Organizations
    • Awards
    • Funding
    • Interviews
    • Jobs
    • Management & Leadership
    • News
    • Patrons & Users
    • Preservation
    • Profiles
    • Publishing
    • Roundup
    • Scholarly Communications
      • Open Access

April 8, 2019 by Gary Price

Two Startups Join Digital Science: Automated Reproducibility Assessment Tool, Ripeta, And Data Science Platform, Gigantum

April 8, 2019 by Gary Price

From Digital Science:

Digital Science welcomes two US-based startups to the Digital Science family of companies: automated reproducibility assessment tool, Ripeta, and data science platform, Gigantum.

[Clip]

Ripeta, a previous Digital Science Catalyst grant winner, aims to make better science easier by identifying and highlighting the important parts of research that should be transparently presented in a manuscript and other materials. The tool detects the key evidence for and assesses reproducibility in the scientific research industry through software and analytics development; improving evidence-based science and fiscal efficiency of research investments. These tools leverage sophisticated machine-learning and natural language processing algorithms to extract key reproducibility elements from research articles.

Gigantum is a completely new approach to handling the interaction between code, data and run-time environments in this new data-rich research world. Focused on open-source tools and frameworks, Gigantum helps researchers to better scale the creation, management and dissemination of fully reproducible research and the data science that supports it.”

Direct to Complete Announcement

Filed under: Data Files, Funding, Management and Leadership, News, Reports

SHARE:

About Gary Price

Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.

ADVERTISEMENT

Archives

Job Zone

ADVERTISEMENT

Related Infodocket Posts

ADVERTISEMENT

FOLLOW US ON X

Tweets by infoDOCKET

ADVERTISEMENT

This coverage is free for all visitors. Your support makes this possible.

This coverage is free for all visitors. Your support makes this possible.

Primary Sidebar

  • News
  • Reviews+
  • Technology
  • Programs+
  • Design
  • Leadership
  • People
  • COVID-19
  • Advocacy
  • Opinion
  • INFOdocket
  • Job Zone

Reviews+

  • Booklists
  • Prepub Alert
  • Book Pulse
  • Media
  • Readers' Advisory
  • Self-Published Books
  • Review Submissions
  • Review for LJ

Awards

  • Library of the Year
  • Librarian of the Year
  • Movers & Shakers 2022
  • Paralibrarian of the Year
  • Best Small Library
  • Marketer of the Year
  • All Awards Guidelines
  • Community Impact Prize

Resources

  • LJ Index/Star Libraries
  • Research
  • White Papers / Case Studies

Events & PD

  • Online Courses
  • In-Person Events
  • Virtual Events
  • Webcasts
  • About Us
  • Contact Us
  • Advertise
  • Subscribe
  • Media Inquiries
  • Newsletter Sign Up
  • Submit Features/News
  • Data Privacy
  • Terms of Use
  • Terms of Sale
  • FAQs
  • Careers at MSI


© 2026 Library Journal. All rights reserved.


© 2022 Library Journal. All rights reserved.