English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In recent years, funding agencies and journals increasingly advocate for openscience practices (e.g. data and method sharing) to improve the transparency,access, and reproducibility of science. However, quantifying these practices atscale has proven difficult. In this work, we leverage a large-scale dataset of1.1M papers from arXiv that are representative of the fields of physics, math,and computer science to analyze the adoption of data and method link-sharingpractices over time and their impact on article reception. To identify links todata and methods, we train a neural text classification model to automaticallyclassify URL types based on contextual mentions in papers. We find evidencethat the practice of link-sharing to methods and data is spreading as morepapers include such URLs over time. Reproducibility efforts may also bespreading because the same links are being increasingly reused across papers(especially in computer science); and these links are increasingly concentratedwithin fewer web domains (e.g. Github) over time. Lastly, articles that sharedata and method links receive increased recognition in terms of citation count,with a stronger effect when the shared links are active (rather than defunct).Together, these findings demonstrate the increased spread and perceived valueof data and method sharing practices in open science.

The Rise of Open Science: Tracking the Evolution and Perceived Value of Data and Methods Link-Sharing Practices