Work

FAIRSECO: An Extensible Framework for Impact Measurement of Research Software

Year: 2023

Type: conference-paper

Abstract: The growing usage of research software in the research community has highlighted the need to recognize and acknowledge the contributions made not only by researchers but also by Research Software Engineers. However, the existing methods for crediting research software and Research Software Engineers have proven to be insufficient. In response, we have developed FAIRSECO, an extensible open source framework with the objective of assessing the impact of research software in research through the evaluation of various factors. The FAIRSECO framework addresses two critical information needs: firstly, it provides potential users of research software with metrics related to software quality and FAIRness. Secondly, the framework provides information for those who wish to measure the success of a project by offering impact data. By exploring the quality and impact of research software, our aim is to ensure that Research Software Engineers receive the recognition they deserve for their valuable contributions.

Source: IEEE International Conference on eScience

DOI: 10.1109/e-science58273.2023.10254664

Authors: Deekshitha, Siamak Farshidi, Jason Maassen, Rena Bakhshi, Rob Van Nieuwpoort, Slinger Jansen

Institutions: Utrecht University, Netherlands eScience Center, University of Amsterdam

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funder: Netherlands eScience Center

Award: G5696324504