The Collaborative Archive & Data Research Environment is a science gateway to standardized text- and data-mining services for large datasets—with reproducibility and collaboration in mind. All in a cloud-based platform.
Access over 220 million scientific publications and 1.7 billion citations from leading academic datasets.
Easily query large datasets with the CADRE Query Builder GUI and instantly export results to your profile for analysis.
Reproduce your research, query outputs, and data-analysis tools in the Marketplace and utilize the tools and research others share.
June 3, 2020 -- The Collaborative Archive & Data Research Environment (CADRE) is excited to announce today that the University of Maryland Libraries is joining the esteemed cohort of library partners supporting the CADRE project.
May 15, 2020 | Source: IU Research Impact
The Collaborative Archive and Data Research Environment was established to make an impact on big data research. In 2020, it’s now making an impact on the COVID-19 fight through a new fellowship program to facilitate COVID-19 research.
This project is part of a series of studies in which researchers are assessing the rise of China in scholarship. In particular, the project aims to provide a comprehensive assessment of the nature of China's publications in science and engineering over the past 20 years.Read More
Researchers will perform a comparative analysis on papers published in four mathematical biology legacy journals and on newer journals with different publication models and disciplinary scope.Read More
This project will build on the WoS report “Navigating the Structure of Research on Sustainable Development Goals (SDG),” as the researchers search for patterns of global collaboration and support the United Nations’ SDG call for action.Read More
This research team wants to better characterize scientific influence of papers, typically measured by how many times papers are cited, by distinguishing between papers that destabilize existing knowledge with novel concepts and papers that consolidate existing knowledge.Read More
Samuel’s project uses reference and citation aging, bibliographic coupling, and network breadth and depth to find similarities and differences between research fields in mathematics and the sciences.Read More
Researchers plan to determine the impact of the introduction and availability of long-distance flights on international scientific collaboration. The team will measure collaboration through co-authorship and co-affiliation.Read More
The research team seeks to find the “deeper” and “broader” impact of network-based citation measurements in the scientific community. This project will determine the citation impact of scientific publications using an ego-centered citation network.Read More
Researchers will characterize citation of data from the literature in the field of STEM education research. A sample of relevant publication venues in the field will be identified from WoS and MAG.Read More