A Tool for Scientific Provenance of Data and Software

Author

Ceguerra, Anna V. ; Liddicoat, Peter V. ; Ringer, S.P. ; Goscinski, Wojtek J. ; Androulakis, Steve

Author_Institution

Australian Centre for Microscopy & Microanalysis, Univ. of Sydney, Sydney, NSW, Australia

fYear

2013

fDate

3-5 Dec. 2013

Firstpage

561

Lastpage

565

Abstract

For a scientist in the modern era, reliability of results is no longer the key to a successful career in research. Increasingly, scientists must demonstrate the applicability (e.g. usefulness) of their work, as well as ensure the research is accessible (e.g. easy to find and easy to interpret). It is these three traits that define how others perceive a body of scientific work. Analyzing citations, such as h-index, is a mature measure of applicability of publications, but measuring the applicability of software is lagging behind. In this paper, we discuss a potential tool for data and software provenance that can be used to measure data and software applicability through usage reporting and citations.

Keywords

citation analysis; natural sciences computing; software metrics; citation analysis; data provenance; h-index; publication applicability; scientific provenance; software applicability measurement; software provenance; usage reporting; Conferences; Probes; Scientific computing; NeCTAR Characterisation Virtual Laboratory (CVL); atom probe microscopy; citations; data provenance;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Science and Engineering (CSE), 2013 IEEE 16th International Conference on

Conference_Location

Sydney, NSW

Type

conf

DOI

10.1109/CSE.2013.89

Filename

6755269