SciSciNet: A large-scale open data lake for the science of science research.

Zihang Lin, Yian Yin, Lu Liu, Dashun Wang

June 2023 Sci Data

Synopsis of Social media discussions

Overall, the discussions reflect a positive reception, with phrases like 'very nice' and references to the platform being a 'game changer' for research data management. The tone is curious yet slightly skeptical about certain limitations, such as the lack of breakdowns by scientific field, which influences the moderate scores across the categories.

A
Agreement
 Moderate agreement

Most discussions recognize the value and innovation of SciSciNet, with comments highlighting its potential for advancing science of science research.

I
Interest
 Moderate level of interest

The discussions show curiosity about the data lake, although some express surprise or slight skepticism about available features, indicating moderate interest.

E
Engagement
 Moderate level of engagement

Several comments reference the platform's functionality, such as its scope and potential applications, demonstrating a moderate level of depth in engagement.

I
Impact
 Moderate level of impact

Participants acknowledge the importance of large-scale datasets in promoting collaboration and reducing redundant efforts, suggesting the publication could have a meaningful impact on the research community.

Social Mentions

YouTube

1 Videos

Twitter

8 Posts

Blogs

2 Articles

News

2 Articles

Metrics

Video Views

86

Total Likes

5

Extended Reach

27,263

Social Features

13

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

SciSciNet: Open Data Platform for Science of Science Research

SciSciNet: Open Data Platform for Science of Science Research

SciSciNet is a large open data platform compiling over 134 million scientific publications to facilitate research on how science works and innovation occurs. It provides detailed data processing to improve research reliability and collaboration.

STEM RTCL TV

September 24, 2023

86 views

  • Pavel Zhelnov, MD
    @drzhelnov (Twitter)

    What is this? Nobody ever looked at an average number of publications produced by a health researcher? Very nice. An all-science dataset is available, but – once again, very surprising! – does not include a breakdown by field of science (for authors). https://t.co/0DV5kAuUBm https://t.co/VmldnmJ7zc
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    June 30, 2024

    2

  • Eclecticity
    @twistopherrobin (Twitter)

    June 1, 2023 "SciSciNet: A large-scale open data lake for the science of science research" by Zihang Lin, Yian Yin, Lu Liu & Dashun Wang: https://t.co/vItLxUnfCF
    view full post

    April 23, 2024

  • Leibniz Strategy Forum on Open Science
    @lfvopenscience (Twitter)

    SciSciNet: A large-scale open data lake for the science of science research https://t.co/R97f67uqnK
    view full post

    June 14, 2023

  • Axel H. Horns
    @axelhorns (Twitter)

    RT @RickyPo: SciSciNet: A large-scale open data lake for the science of science research https://t.co/DeHBFLmQcx
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    June 2, 2023

    1

  • Richard Poynder
    @RickyPo (Twitter)

    SciSciNet: A large-scale open data lake for the science of science research https://t.co/DeHBFLmQcx
    view full post

    June 2, 2023

    1

    1

  • Valentinus Sofa
    @SofaValentinus (Twitter)

    SciSciNet: A large-scale open data lake for the science of science research https://t.co/uvXlfkkInR
    view full post

    June 2, 2023

  • 김병준(Byungjun Kim)
    @DrByungjunKim (Twitter)

    Lin, Z., Yin, Y., Liu, L. et al. SciSciNet: A large-scale open data lake for the science of science research. Sci Data 10, 315 (2023). https://t.co/x1Sn2tl2zD
    view full post

    June 1, 2023

    2

  • Suriya Subramanian
    @SuriyaSubraman (Twitter)

    SciSciNet: A large-scale open data lake for the science of science research - Nature: Scholarly big data have flourished over the past decade, with several large-scale initiatives providing researchers free access to data. #bigdata #cdo #cto https://t.co/CAQJAPUElf https://t.co/5dtwQwJgfv
    view full post

    June 1, 2023

Abstract Synopsis

  • SciSciNet is a large open data platform that compiles over 134 million scientific publications and related linkages, making it easier for researchers to study how science works and where innovation happens.
  • The platform addresses the challenge of managing and connecting vast amounts of data by providing detailed documentation and preprocessing steps, which helps reduce redundant efforts and improve research reliability.
  • SciSciNet aims to support the science of science community by offering a comprehensive, accessible resource that enhances collaboration, robustness, and diversity in scientific research.