In this demonstration, we present ResEval Mash, a mashup platform for research evaluation, i.e., for the assessment of the productivity or quality of researchers, teams, institutions, journals, and the like – a topic most of us are acquainted with. The platform is specifically tailored to the need of sourcing data about scientific publications and researchers from the Web, aggregating them, computing metrics (also complex and ad-hoc ones), and visualizing them. ResEval Mash is a hosted mashup platform with a clientside editor and runtime engine, both running inside a common web browser. It supports the processing of also large amounts of data, a feature that is achieved via the sensible distribution of the respective computation steps over client and server. Our preliminary user study shows that ResEval Mash indeed has the power to enable domain experts to develop own mashups (research evaluation metrics); other mashup platforms rather support skilled developers. The reason for this success is ResEval Mash’s domain-specificity.



Titolo: ResEval Mash: a mashup tool that speaks the language of the user
Autori: M., Imran; Daniel, Florian; Casati, Fabio; Marchese, Maurizio
Autori Unitn: 
Daniel, Florian
Casati, Fabio
Marchese, Maurizio
mostra contributor esterni 
Autore/i del libro: AA. VV.
Titolo del volume contenente il saggio: Proceedings of CHI 2012
Luogo di edizione: New York
Casa editrice: ACM
Anno di pubblicazione: 2012
Handle: http://hdl.handle.net/11572/96426
Appare nelle tipologie:04.1 Saggio in atti di convegno (Paper in proceedings)

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