Introduction MESUR Mapping Science Metrics Survey Discussion Tracking science in real-time from large-scale usage data Johan Bollen - jbollen@indiana.edu Indiana University School of Informatics and Computing Center for Complex Networks and Systems Research Cognitive Science Program July 29, 2010 Johan Bollen - jbollen@indiana.edu Tracking science in real-time from large-scale usage data
Introduction MESUR Mapping Science Metrics Survey Discussion Problem statement Usage data Outline 1 Introduction Problem statement Usage data 2 MESUR MESUR overview Creating MESUR’s reference data set 3 Mapping Science 4 Metrics Survey 5 Discussion Overview Future Research Relevant papers Johan Bollen - jbollen@indiana.edu Tracking science in real-time from large-scale usage data
Introduction MESUR Mapping Science Metrics Survey Discussion Problem statement Usage data Why study science? Tremendous importance Enormous amount of resources and people involved: Allocation of resources: funding agencies, policy makers, the public, corporations, the scientists themselves Social systems research: Ability to learn about general properties of similar social systems Unrelated picture of my daughter Johan Bollen - jbollen@indiana.edu Tracking science in real-time from large-scale usage data
Introduction MESUR Mapping Science Metrics Survey Discussion Problem statement Usage data Science as a social system Actors: scientists, stakeholders Relations (often focused on exchange of knowledge) Informal interactions: meetings, workshops, conversations, messages, etc Formal: affiliations, collaborations, projects, publications Artifacts: articles, journals, Xiaoming Liu, Johan Bollen, Michael L. Nelson, and reports, data, software Herbert Van de Sompel. Co-authorship networks in the digital library research community. Information Processing and Management, 41(6):14621480, December 2005 Johan Bollen - jbollen@indiana.edu Tracking science in real-time from large-scale usage data
Introduction MESUR Mapping Science Metrics Survey Discussion Problem statement Usage data The measure of science in the print-era A word on the traditional way Gold standard: citation data Extracted from “publication” data. Johan Bollen - jbollen@indiana.edu Tracking science in real-time from large-scale usage data
Introduction MESUR Mapping Science Metrics Survey Discussion Problem statement Usage data The measure of science in the print-era A word on the traditional way Gold standard: citation data Extracted from “publication” data. From print comes citation: Science is a gift-economy Steal text, but not ideas. Currency is acknowledgement of influence: citations More citations, more influence Track scientific activity from citation data Johan Bollen - jbollen@indiana.edu Tracking science in real-time from large-scale usage data
Introduction MESUR Mapping Science Metrics Survey Discussion Problem statement Usage data The measure of science in the print-era A word on the traditional way Gold standard: citation data Extracted from “publication” data. From print comes citation: Science is a gift-economy Steal text, but not ideas. Currency is acknowledgement of influence: citations More citations, more influence Track scientific activity from citation data Citations are derived from peer-reviewed publications Johan Bollen - jbollen@indiana.edu Tracking science in real-time from large-scale usage data
Introduction MESUR Mapping Science Metrics Survey Discussion Problem statement Usage data From this springs an entire industry Applications of citation data End-user services and bibliometrics Web of Science, Scopus, publishers, institutions, etc. Johan Bollen - jbollen@indiana.edu Tracking science in real-time from large-scale usage data
Introduction MESUR Mapping Science Metrics Survey Discussion Problem statement Usage data From this springs an entire industry Applications of citation data End-user services and bibliometrics Web of Science, Scopus, publishers, institutions, etc. Citation-based services Reference linking Variety of end-user services Johan Bollen - jbollen@indiana.edu Tracking science in real-time from large-scale usage data
Introduction MESUR Mapping Science Metrics Survey Discussion Problem statement Usage data From this springs an entire industry Applications of citation data End-user services and bibliometrics Web of Science, Scopus, publishers, institutions, etc. Citation-based services Reference linking Variety of end-user services Citation-based assessment and bibliometrics Impact metrics Analytics Mapping Johan Bollen - jbollen@indiana.edu Tracking science in real-time from large-scale usage data
Introduction MESUR Mapping Science Metrics Survey Discussion Problem statement Usage data Two problems with present citation-based approach Data (1) and metrics (2) Issues: 1 Inherent features of citation data due to its origins in published material 2 Existing metrics fail to acknowledge (1), and ignore network properties of science as a social system. Johan Bollen - jbollen@indiana.edu Tracking science in real-time from large-scale usage data
Introduction MESUR Mapping Science Metrics Survey Discussion Problem statement Usage data Citation data Delays and partiality Citation problem 1: Data Citation data is late and partial indicator of scientific activity 0 year +0.5 year +1.5 years +2 years +2.5 years +3.5 years time discovery research publication discovery research publication ? citation citation data Domain-dependent practices Publication delays Community: Publishing authors Publication t → publication t − 1 only → citation DB Johan Bollen - jbollen@indiana.edu Tracking science in real-time from large-scale usage data
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