Description
Web of Science Researcher Profiles were added to WoS in 2022. Evolving from Publons and ResearcherID, WoS Researcher Profiles allow users to track and highlight their research output right in the Web of Science, including publications, peer reviews, and editorial work. Additionally, profiles provide convenient access to personalized citation metrics. When claimed, profiles can be curated by the researchers themselves; prior to that, publication and affiliation information is collected automatically based on a clustering algorithm.
The new Researcher API provides access to this valuable data and an opportunity for institutions to leverage the data in a variety of ways. Potential use cases include seeding CRIS, FAR, and profiling systems with WoS data for an entire institution. Alternatively, the API can used to discover researchers doing work in a specific area using a topic-based search. The data feed includes publication and review history for each researcher, as well as basic metrics such as total times cited counts and h-index.
This poster will include an overview of Researcher Profiles, the API, and potential workflows using the API.
Event Website
https://expertfindersystems.org/program.cfm
Start Date
6-4-2023 4:00 PM
End Date
6-4-2023 5:00 PM
Recommended Citation
Gross, Benjamin, "A New Way to Access Researcher Data: The Web of Science Researcher API" (2023). International Forum on Expert Finder Systems. 4.
https://efsrimsrepository.expertfindersystems.org/efs_forum/2023/posters/4
A New Way to Access Researcher Data: The Web of Science Researcher API
Web of Science Researcher Profiles were added to WoS in 2022. Evolving from Publons and ResearcherID, WoS Researcher Profiles allow users to track and highlight their research output right in the Web of Science, including publications, peer reviews, and editorial work. Additionally, profiles provide convenient access to personalized citation metrics. When claimed, profiles can be curated by the researchers themselves; prior to that, publication and affiliation information is collected automatically based on a clustering algorithm.
The new Researcher API provides access to this valuable data and an opportunity for institutions to leverage the data in a variety of ways. Potential use cases include seeding CRIS, FAR, and profiling systems with WoS data for an entire institution. Alternatively, the API can used to discover researchers doing work in a specific area using a topic-based search. The data feed includes publication and review history for each researcher, as well as basic metrics such as total times cited counts and h-index.
This poster will include an overview of Researcher Profiles, the API, and potential workflows using the API.
https://efsrimsrepository.expertfindersystems.org/efs_forum/2023/posters/4
Comments
This is a poster presentation from the 2023 EFS Conference.