MESUR: USAGE-BASED METRICS OF SCHOLARLY IMPACT
- Los Alamos National Laboratory
The evaluation of scholarly communication items is now largely a matter of expert opinion or metrics derived from citation data. Both approaches can fail to take into account the myriad of factors that shape scholarly impact. Usage data has emerged as a promising complement to existing methods o fassessment but the formal groundwork to reliably and validly apply usage-based metrics of schlolarly impact is lacking. The Andrew W. Mellon Foundation funded MESUR project constitutes a systematic effort to define, validate and cross-validate a range of usage-based metrics of schlolarly impact by creating a semantic model of the scholarly communication process. The constructed model will serve as the basis of a creating a large-scale semantic network that seamlessly relates citation, bibliographic and usage data from a variety of sources. A subsequent program that uses the established semantic network as a reference data set will determine the characteristics and semantics of a variety of usage-based metrics of schlolarly impact. This paper outlines the architecture and methodology adopted by the MESUR project and its future direction.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC52-06NA25396
- OSTI ID:
- 985894
- Report Number(s):
- LA-UR-07-0663; TRN: US201017%%72
- Resource Relation:
- Conference: JOINT CONFERENCE ON DIGITAL LIBRARIES ; 200706 ; VANCOUVER
- Country of Publication:
- United States
- Language:
- English
Similar Records
Usage based indicators to assess the impact of scholarly works: architecture and method
The NamesforLife Semantic Index of Phenotypic and Genotypic Data for Systems Biology