Our Recent Productions

Showing 1–6 of 6

1. Working Paper2026Open Access

   Collective action for Open Research Information: Introducing ORION-DBs and a new FORCE11 Working Group(opens in a new tab)

   

   Mazoni, Alysson; Kramer, Bianca; Neylon, Cameron; Costas, Rodrigo; van Eck, Nees Jan

   With ORION-DBs, a growing set of actors are hosting large research information datasets in shared spaces, notably in Google BigQuery. To coordinate amongst current and future contributors and work towards community standards for discovery, processing, preservation and documentation, we are starting a FORCE11 working group. The working group will also seek to build a community around future alternatives to proprietary cloud systems for data sharing at scale and identify future paths to community-led training and development resources. Our goal is to build a community with a focus on supporting the users of Open Research Information resources to make more sophisticated and complex use of these data sources. We will do this by consolidating and expanding the resources themselves through supporting providers, gathering user stories and developing training materials. Finally we will scope pathways to technological independence from proprietary systems consistent with the needs of users. This webinar will introduce the ORION-DB initiative, present a number of use cases and introduce the FORCE11 Working Group. If you are a data provider, metadata user or infrastructure developer and want to learn more about ORION-DB and the planned activities of the working group, you are invited to attend the webinar. The version of this slide deck on Google was originally: https://docs.google.com/presentation/d/1ua88tr2gP2HTurQPkM4-A7eWjFiDLUI_ht3MJdHxOxc/edit?usp=sharing

   DOI: 10.5281/zenodo.22304573open research informationopen datadatabasesscientometricsMetadata
2. Article2026Open Access

   Scientific mobility, prestige and topic alignment in research institutions(opens in a new tab)

   

   Ferreira, Márcia R.; Costas, Rodrigo; Servedio, Vito D. P.; Thurner, Stefan

   Research institutions are crucial in driving intellectual, social, and technological progress. Their ability to innovate depends mainly on their ability to attract, retain, and nurture scientific talent, ultimately making it available to other organizations, industries, or the economy. As researchers change institutions during their careers, their research topics also shift. The extent and mechanisms by which research institutions manage their internal portfolio of scientific topics through the attraction and deployment of researchers are far from well understood. We examine 25 million publication histories of 9.2 million scientists extracted from a large-scale bibliographic database covering thousands of research institutions worldwide to understand how the topics of mobile scientists align with those present in-house. We find a correlation between top-ranked institutions and greater topic alignment, i.e., the degree to which topics of incoming academics match those of their colleagues at the institution. We uncover a similarly high level of alignment among scientists leaving top-ranked institutions. The alignment of research topics in research institutions is more pronounced in engineering, life, health, earth, and physical sciences than in mathematics, computer science, social sciences, and the humanities. We show that institutions have generally become more closely aligned in their overall topic profile over the past two decades. We interpret these results in terms of the levels of proactive management of the composition of the scientific workforce and internal collaboration strategies at the institutional level.

   DOI: 10.1007/s11192-026-05815-7PrestigeBibliometricsWorkforcePortfolio
3. 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.

   DOI: 10.31235/osf.io/q8szh_v2European unionDisciplineCitationBibliometricsScientometrics
4. Article2026Open Access

   Interoperability between local and global databases in scientometrics: lattes, CAPES, and OpenAlex(opens in a new tab)

   

   Mazoni, Alysson; Borges, Luís; Macedo, Estevão Fernandes; Tuesta, Esteban Fernández; Mena‐Chalco, Jesús Pascual

   Funded by CAPES, FAPESP, UNICAMP

   Disambiguating research entities remains a long-standing methodological problem in scientometric analyses, as inconsistencies and ambiguous metadata limit the interoperability of major bibliographic databases. While global systems such as OpenAlex provide extensive coverage, they often lack the granularity and accuracy provided by national-level research databases. This study proposes a large-scale methodology to enhance author and institutional disambiguation by integrating local (Lattes and CAPES) and global (OpenAlex) databases. The method combines shared Digital Object Identifiers with an adapted Levenshtein distance algorithm to handle variations in author and institutional names across multilingual research databases, achieving over 97% accuracy for authors and 64% for institutions. The proposed framework provides a scalable and replicable approach for entity disambiguation in tabular research databases. Beyond the Brazilian context, this integration strategy offers a globally applicable approach for harmonizing national research information systems with open scientometric infrastructures.

   DOI: 10.1007/s11192-026-05765-0InteroperabilityIdentifierMetadataScalabilityGranularity
5. Article2026Open Access

   Studying the scientific diaspora: going beyond bibliometric methods(opens in a new tab)

   

   Carneiro, Ana Maria; Pereira, Cesar A. Guimarães; Meireles, Flavia; Romolo, Renata

   Funded by FAPESP, UNICAMP

   The international mobility of highly qualified scientists has drawn increasing attention from researchers and policymakers, especially regarding scientific diaspora networks. These networks enable exchange of knowledge and technology and academic collaboration, benefiting sending and receiving countries. Bibliometric methods have been widely used to track academic mobility flows, analyzing institutional affiliations and collaboration patterns. However, such methods have limitations for investigating the scientific diaspora, as they do not allow the identification of researchers’ nationality or birthplace. The aim of this article is to propose a multi-method approach to overcome these limitations, combining bibliometric techniques with supplemental sources, such as academic CV, institutional databases, and qualitative information. We applied this methodology to study scientific collaborations on COVID-19 involving the Brazilian scientific diaspora from 2020 to 2022, a period characterized by intense international cooperation. This analysis included variables such as gender, academic background, professional activity, and co-authorship patterns. Results show that the proposed approach enables more robust identification of diaspora researchers and their interactions with Brazil, which can provide relevant insights for science policies and engagement strategies of the diaspora. We conclude that the combination of bibliometric and qualitative data is essential for a better understanding of academic mobility and scientific diaspora dynamics, thereby contributing to the development of more effective policies for managing highly qualified human capital.

   DOI: 10.1007/s11192-026-05723-wDiasporaBibliometricsNationalityScientific literatureScientometrics
6. Working Paper2025Open Access

   Exploring Interoperability Between Local and Global Databases in Scientometrics: Lattes, Capes, and OpenAlex(opens in a new tab)

   

   Mazoni, Alysson Fernandes; Borges, Luís Fabiano Farias; Macedo, Estevao Fernandes; Tuesta, Esteban Fernandez

   Numerous initiatives are currently underway to disambiguate databases worldwide. In this paper, we propose a methodology for disambiguating research entities using big data techniques, adopting an approach that goes from local to global databases. Our objective is to enhance the quality of data in the OpenAlex database by leveraging information from Brazilian databases, particularly data from the Lattes Platform and the Brazilian Federal Agency for Support and Evaluation of Graduate Education. We compare similar names of authors and institutions, employing Digital Object Identifiers to link entities, along with an adaptation of the Levenshtein distance algorithm. The proposed method is straightforward to implement in tabular databases and facilitates disambiguation, thereby contributing to open science practices and providing an effective solution for research information systems. The findings indicate the potential for integrating local and global databases to address issues related to ambiguous names and incomplete metadata.

   DOI: 10.1590/SciELOPreprints.12668Bibliographic coverageLattes CVScientometrics