multiobs

Our Recent Productions

Datasets, working papers, and peer-reviewed articles produced by MultiObs researchers.

Showing 1–2 of 2

  1. Conference Paper2026Open Access
    Subfields in LIS: Insights from 215 Canadian Doctoral Dissertations(opens in a new tab)

    Poitras, Constance; Demers, Camille; Dufour, Christine; Ninkov, Anton; Larivière, Vincent

    This project investigates the disciplinary structure of Library and Information Science (LIS) across Canadian doctoral research. Using a qualitative content analysis of 215 dissertations (2010–2024), the study identifies topic clusters, theoretical anchors, and methodological patterns in the field, while probing into the existence of shared disciplinary knowledge. Preliminary results show distinct clusters of topics, approaches, methods and emerging school-level differences. Sous‑domaines en BSI : perspectives tirées de 215 thèses doctorales canadiennesCe projet examine la structure disciplinaire de la bibliothéconomie et des sciences de l’information (BSI) à travers la recherche doctorale canadienne. À partir d’une analyse qualitative de contenu portant sur 215 thèses soutenues entre 2010 et 2024, l’étude identifie des regroupements thématiques, des ancrages théoriques et des configurations méthodologiques dans le domaine, tout en explorant l’existence de connaissances disciplinaires partagées. Les résultats préliminaires montrent des clusters distincts de sujets, d’approches et de méthodes, ainsi que l’émergence de différences entre les écoles.

  2. Working Paper2026Open Access
    A global map of science according to a topic model of EU grants(opens in a new tab)

    Vidal, Adrià Plazas; Bovenzi, Nicandro; Durán-Silva, Nicolau; Martí, Enric Fuster; Ràfols, Ismael

    Since their appearance in the 1980s, global maps of science have proved useful to locate the relative position of topics and organisations in large scientific landscapes, providing strategic information for portfolio analyses in science policy. At this global level (global meaning here ‘all disciplines’), these maps have been based on publications and have mostly used citations to build the relationship between scientific fields. Here, we present a comprehensive scientific map based on grant data that uses semantic analyses (BERT-based topic modelling) to provide the overall landscape of science based on grant data from the European Union since 2003 (since the 6th framework programme). We find a disciplinary structure which is consistent with the circular shape of publication and citation based global science maps. However, this grant map shows a much larger presence of applied science and mission-oriented research, such as engineering and sustainability sciences. We provide examples of how this landscape can be used as a baseline to explore the specialisation of territories (regions), organisations (universities) and funding programmes.