arXivLabs Adds Two New Integrations That “Provide Insights Into the Academic ‘Influence’ of Researchers and Enable Reproducibility Through Access to Data and Code”
From an arXiv Blog Post:
arXivLabs, a framework for enabling the arXiv community to contribute to arXiv, continues to grow. We recently rolled out two new integrations—DagsHub and Influence Flower—to provide our users with access to data, code, and other materials underlying research and present a map of influence for individual articles on arXiv, respectively.
Through its web platform based on open source tools, DagsHub provides a central location where projects can be hosted, discovered, and collaborated on. Projects related to arXiv papers will contain the papers’ code, data, models, and experiments allowing them to be fully reproducible. Readers can find DagsHub content on arXiv.org by clicking on the “Code, Data, Media” tab on an article’s abstract page and then activating DagsHub.
Influence Flower provides a visualization tool that allows users to easily understand the flow of academic influence. Influence is calculated as a function of the number of citations between two entities, resulting in a knowledge graph that resembles a flower. Influence Flowers for arXiv papers can be found by clicking on the “Related Papers” tab on an articles abstract page and activating Influence Flower.
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About Gary Price
Gary Price (email@example.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. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.