Our fellowship team from Michigan State University will present the research they developed using CADRE in this webinar.
When: April 29, 3 p.m.
Livestream link: https://iu.zoom.us/j/376407036
About the research: This project will build on the Web of Science report “Navigating the Structure of Research on Sustainable Development Goals (SDG)." The researchers will support the United Nations’ SDG call for action in their search for patterns of global collaboration. Researchers will design a prototype to analyze and visualize the input-output of partnerships over time in SDG-supportive research. They also plan to create a scoring measure or partnership index that defines and conducts partnership analytics for SDGs by using data sourced from WoS and MAG.
Extensive publication and citation data obtained through the Web of Science Group (WOS) has very recently helped uncover interesting trends in scientific outputs supporting the United Nations Sustainable Development Goals (SDGs), a shared blueprint for global partnership. This research, as a follow-up to the WOS report “Navigating the Structure of Research on Sustainable Development Goals,” aims to dive more deeply into patterns of collaboration, to gain insights for sustaining global partnerships. Are those collaborations resulting in co-creation, long-term collaborative research, or co-investment and equitable partnership? The WOS report found that intra- and inter-regional collaborations most often included European institutions, but how did these collaborations evolve and mature, and did this result in a true partnership? Specifically, this research will use co-authorship data sourced from WOS and Microsoft Academic Graph, in collaboration with CADRE and its community, to design a prototype to quantify, automate, visualize, and report output of partnerships over time in SDG-supportive research at the author and institutional levels. Through this research, we also hope to develop a scoring measure or partnership index supported with appropriate parameters that can be used to define and conduct partnership analytics related to SDGs and, by extension, to other topical themes using publications, patents, and funding data. Through this research, we also hope to contribute and enhance existing keywords and search terms for SDGs. This research supports the careful and strategic use and consumption of big data for insights, decision-making, and global development.
About the researchers
Jane Payumo is an Academic Specialist with a research appointment at the MSU AgBioResearch and College of Agriculture and Natural Resources. She also serves as Head of the Research Evaluation and Data Analytics Team. Her academic and policy-related publications focus on program evaluation, metrics design and data analytics, econometric studies on agricultural development, internationalization of science, and intellectual property rights management for life sciences and agriculture. She received her Doctor of Philosophy at Washington State University, Pullman, WA; and undergraduate and Master’s degrees in the Philippines from Central Luzon State University and University of the Philippines, respectively.
As Digital Library Programmer, Devin Higgins builds digital collections for the Michigan State University libraries, using computational techniques to enlist digital objects in exhibits that encourage exploration and engagement. He also supports digital scholarship at MSU, focusing on data modeling, text analysis, and visualization.
Dr. Scout Calvert is the data librarian at Michigan State University. Before coming to MSU, Scout was a Council on Libraries and Information Resources (CLIR) Postdoctoral Fellow in Data Curation in the Sciences and Social Sciences. She previously served as assistant project scientist at the University of California, Irvine, and was co-investigator, with others at the California Institute of Telecommunications and Information Technology (CalIT2), on the Health Data Exploration project. Scout earned her PhD from the University of California, Santa Cruz, in History of Consciousness, a distinctive interdisciplinary graduate program, focusing on science and technology in society. She holds an MA in Information Resources and Library Science from the University of Arizona. Her recent projects have traced the social aspects of data-centric knowledge production in lay communities of genetic genealogists, livestock breeders, and citizen scientists. Scout also investigates data and metadata practices in libraries and among academic researchers, informing data policy issues in academic libraries.
Guangming is the technical resource person on research and innovation data and business information, data integration and analytics, and digital tools use and management for MSU Innovation Center. Guangming holds degrees of B.S. and Master from Beijing Forestry University and a Ph.D. from Michigan State University. His education is mostly related to natural resource management, sustainability, system sciences, and decision making. His later work experience is mainly in the area of application development, solution architect and information management/services.
Anusha Manjunatha is a graduate student from the Electrical and Computer Engineering department of Michigan State University. Her academic interests lie in the field of data analysis, visualization, and data science. Previously, she worked at Accenture Services, Bangalore, India as an Application Development Analyst and currently she is working at MSU AgBioResearch as Data Research Analyst, under the guidance of Dr. Jane Payumo.