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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.
Most discussions recognize the value and innovation of SciSciNet, with comments highlighting its potential for advancing science of science research.
The discussions show curiosity about the data lake, although some express surprise or slight skepticism about available features, indicating moderate interest.
Several comments reference the platform's functionality, such as its scope and potential applications, demonstrating a moderate level of depth in engagement.
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.
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
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
SciSciNet: A large-scale open data lake for the science of science research https://t.co/DeHBFLmQcx
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
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
SciSciNet: A large-scale open data lake for the science of science research https://t.co/R97f67uqnK
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…
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
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
SciSciNet: A large-scale open data lake for the science of science research https://t.co/R97f67uqnK
RT @RickyPo: SciSciNet: A large-scale open data lake for the science of science research https://t.co/DeHBFLmQcx
SciSciNet: A large-scale open data lake for the science of science research https://t.co/DeHBFLmQcx
SciSciNet: A large-scale open data lake for the science of science research https://t.co/uvXlfkkInR
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
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