Frequently Asked Questions

What is Scholars@Cornell?
  • As stewards of the scholarly record, Cornell University Library (CUL) has developed a data and visualization service known as Scholars@Cornell with the goal of improving the visibility of Cornell research and enabling discovery of explicit and latent patterns of scholarly collaboration. The primary entity of interest is scholarship, of which people and organizations are, by definition, both the creators and consumers.
  • Scholars@Cornell provides visualizations-driven aggregate views of the scholarship data where dynamic visualizations become the entry points into a rich graph of knowledge that can be explored interactively to answer questions such as: Who are the experts in what areas? Which departments collaborate with each other? What are patterns of interdisciplinary research? What are the impact evidences of my research? With which global organizations we collaborate with, and more. Our goal is to enable easy discovery of both explicit and latent patterns that reveal high-impact research areas, patterns of collaboration, and expertise of faculty and researchers.
Where does Scholars@Cornell get data?
  • Scholars@Cornell is fed from a variety of data sources, such as positions and affiliation data from Cornell's own Human Resources (HR) and grants data from Office of Sponsored Programs (OSP). Publications data is fed to Scholars@Cornell from Symplectic Elements. A Cornell scholar who has a Scholars@Cornell profile, also has a Symplectic Elements user profile. One can go to Symplectic Elements website, log in with Cornell credentials and claim/curate their publications.
  • Once data has entered Scholars@Cornell's workflow, the "feed machine" engages in automated data curation, which entails cleansing data anomalies and suppressing duplicates. A special process known as "uberization" evaluates the publication data coming from Elements (i.e. multiple sources) to select the best, most accurate data elements to be included in Scholars@Cornell. If the "feed machine" determines that the data is not of sufficient quality and cannot be automatically corrected, it sends the data to a "curation bin" where it can be examined and corrected or rejected as necessary by a local data curator.
What is Symplectic Elements?
  • Symplectic Elements is an application for research information management (RIM). It is intended for academic units to manage faculty information such as scholarly articles, grants, teaching activities and other professional pursuits. Elements provides an easy to use interface to maintain accurate and up to date scholarship data for Cornell faculty.
  • Elements harvests Cornell faculty member scholarship data from well known citation services (e.g. Web of Science, Scopus, PubMed, MLA), data is claimed by a college/department data curator, in turn that data is fed to Scholars@Cornell, where researcher profile pages are created and exciting visualizations of data are presented.
  • Enabling ORCID, and other author ID's for individual profiles provides the benefit of reducing manual data curation through an auto-claim feature in Elements.
  • Cornell University Library subscribes to Symplectic Elements and administers the Cornell instance of Elements.
Can data be downloaded from Scholars@Cornell?
  • Much of the visualization data represented on the Scholars@Cornell website can be downloaded by clicking on the download icon found in the upper right corner of the page. Scholarship data can be accessed (in JSON format) via the Scholars@Cornell API. To download publication data for a Scholar, one needs to know the netId of the Scholar. For example, following query will access publications for netId mj495.
  • Additionally, publication data can also be downloaded manually from Symplectic Elements.
What is a Scholars@Cornell affiliated partner, and what are the responsibilities of departments/colleges who have become an affiliated Scholars@Cornell Partner?
  • Affiliated Partners have agreed to "Opt-In" and have agreed to ensure data quality.
  • Departments will designate data curator(s) charged with claiming individual faculty/researcher publications found by Symplectic Elements searches of upstream data sources, including Web of Science, Scopus, PubMed, MLA and others such as SSRN and arXiv.
  • Data curators are responsible for periodic review of the department/college "curation bin" produced by the Scholars@Cornell "feed machine" in order to clear items rejected due to data anomalies.
  • Other data not coming from automated feeds can be entered by college/department data curators at the discretion of the department/college.
How does my college or department become an affiliated Scholars@Cornell Partner?
My college/department uses Activity Insight, can our data be put in Scholars so that we may become an affiliated partner?
  • Yes; however, to view data in Scholars@Cornell, your department/college will need to opt-in to Elements.
Can individuals opt in to Scholars@Cornell without their college/department being affiliated?
How can I resolve errors appearing in my data?
What is happening with Cornell VIVO profile pages?
  • The Cornell VIVO website will be retired in Summer of 2017. Faculty will have a new presence in Scholars@Cornell, while VIVO profile pages will be archived, and the VIVO web addresses will point to the archived page for a limited period of time.
How can I contact a Scholars@Cornell team member?