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.

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Mar 6th, 2:00 PM Mar 6th, 2:50 PM

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.