Event Title
Panel Three: Open Data Management
Location
Charles B. Wang Center
Document Type
Symposium
Start Date
6-3-2020 2:00 PM
End Date
6-3-2020 2:50 PM
Description
Paul Albert, Identity Services Product Manager, Weill Cornell Medicine & Sarbajit Dutta, Senior Software Developer, Weill Cornell Medicine
ReCiter: an enterprise open source author disambiguation system for academic institutions.
ReCiter is an open source system for centrally managing the scholarly publication output of an institution. ReCiter uses the wealth of identity evidence available to an academic institution to compute the likelihood a given scholar wrote a particular paper. Candidate articles are displayed in descending order of probability, and the evidence for a suggestion is shown in an information-rich and intuitive user interface. In cases where a suggested article is ambiguous, we provide additional context so that the user can understand why an article received the score it did.
ReCiter is capable of disambiguating publications authored by a diverse group of scholars at Weill Cornell Medicine at around 98% accuracy.
Hyunah Baek, PhD candidate in Linguistics, Stony Brook University & Alex Yeung, PhD student in Linguistics, Stony Brook University
Nicole Sampson, Interim Dean, College of Arts and Sciences, Stony Brook University
I will discuss data management from our College’s faculty and from a chemical biology scientist perspective.
Panel Three: Open Data Management
Charles B. Wang Center
Paul Albert, Identity Services Product Manager, Weill Cornell Medicine & Sarbajit Dutta, Senior Software Developer, Weill Cornell Medicine
ReCiter: an enterprise open source author disambiguation system for academic institutions.
ReCiter is an open source system for centrally managing the scholarly publication output of an institution. ReCiter uses the wealth of identity evidence available to an academic institution to compute the likelihood a given scholar wrote a particular paper. Candidate articles are displayed in descending order of probability, and the evidence for a suggestion is shown in an information-rich and intuitive user interface. In cases where a suggested article is ambiguous, we provide additional context so that the user can understand why an article received the score it did.
ReCiter is capable of disambiguating publications authored by a diverse group of scholars at Weill Cornell Medicine at around 98% accuracy.
Hyunah Baek, PhD candidate in Linguistics, Stony Brook University & Alex Yeung, PhD student in Linguistics, Stony Brook University
Nicole Sampson, Interim Dean, College of Arts and Sciences, Stony Brook University
I will discuss data management from our College’s faculty and from a chemical biology scientist perspective.