Mr. David Campbell, Chief Scientist at Science-Metrix, uses his quantitative and data mining expertise to develop bibliometric and other S&T indicators, as well as original analysis methods, in the conduct of studies aiming to support evidence-based policymaking in research and innovation (R&I). In addition to his contribution to the harmonization and production of bibliometric data, Mr. Campbell is responsible for data quality control. He has contributed to the implementation of a rigorous protocol to guarantee the highest quality and integrity of bibliometric deliverables.
Since 2004, Mr. Campbell has contributed to approximately 100 studies for national clients, including most research councils and federal departments in Canada. He has also contributed to studies for foreign organizations such as the European Commission and the US National Science Foundation. In performing such studies, he has worked in partnerships with various groups in Europe, including ICF International, KU Leuven, Fraunhofer ISI, Technopolis and RAND Europe.
In 2015 and 2016, Mr. Campbell led the two-year development of a methodological framework to guide the design and implementation of data mining projects aimed at supporting the formulation, implementation and evaluation of R&I policies. This framework was tested on six R&I policy issues and was validated through an expert workshop. Mr. Campbell has also been instrumental in the development of novel indicators for assessing the gender dimension in research and for measuring interdisciplinarity and multidisciplinarity.
Mr. Campbell regularly contributes to the research evaluation and bibliometric community through conference presentations and scientific publications.