Faculty Information Systems

Leaning against the wall, a woman looks into the camera lens in front of an empty classroom.

Supporting Tenure Tracks With Faculty Information Systems

ListEdTech is a market research firm that only tracks systems used in education. Our user-friendly portal offers data on more than 25 product categories, including Faculty Information Systems. For this product category, we track almost 1,700 implementations, mainly in North America at the higher education level.

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What Are Faculty Information Systems?

Faculty Information Systems allow for managing, sharing, updating, and accessing information regarding faculty members of a given institution. It typically includes features such as faculty profiles, course scheduling, and workload management. They also track teaching and research activities and accomplishments, thus helping with faculty recruitment, promotion, and tenure decisions. 

In this Product Category, We Have Data on the Following Companies and Products

CompanyProductDegree Type
InfoEd InternationalInfoEd GENIUSHigherEd
Harvard Management CompanyProfiles RNSHigherEd
PowerSchoolPeopleAdmin Faculty Information SystemHigherEd
Cayuse IncGraduate Education Manager (Haplo PHD Manager)HigherEd
Ex LibrisEsploroHigherEd
WatermarkWatermark Faculty SuccessHigherEd
University of Southampton companyEPrintsHigherEd
ClarivatePublons publicationHigherEd
Homegrown SystemsHomegrown Faculty Information SystemHigherEd
Cisco SystemsSEDONAHigherEd
WatermarkActivity InsightHigherEd
ElsevierPure - ElsevierHigherEd
ElsevierInterfolio Faculty Information SystemHigherEd

Why Use the ListEdTech Portal?

product implementations tracked among 25+ product categories
institutions, in our database, using a Faculty Information System
FIS products in our database

How Does ListEdTech Gather its Data?

We scan publicly available data (news releases, social media, university and company websites) to gather our information. Our dataset includes (but is not limited to): 

  • Educational companies, products, and institutional characteristics, 
  • Primary and secondary systems supported by an institution, 
  • Implementation dates and decommission dates, 
  • Contracts, RFP and acquisition data.

Our team controls for bias and regularly updates, reviews, and validates the data at the source to help organize, sort, and classify more than 3 million data points. Though we cannot guarantee an accurate market representation, the methods we use prevent the overrepresentation of any solution.  

As part of our data quality control, we review our database monthly. During these processes, we constantly reach a 95% accuracy rate.