Archives des mots-clés : Daniel Egret

Identify scientific publications country-wide and measure their open access: The case of the French Open Science Barometer (BSO)

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Authors : Lauranne Chaignon, Daniel Egret

We use several sources to collect and evaluate academic scientific publication on a country scale, and we apply it to the case of France for the years 2015–2020, while presenting a more detailed analysis focused on the reference year 2019.

These sources are diverse: databases available by subscription (Scopus, Web of Science) or open to the scientific community (Microsoft Academic Graph), the national open archive HAL, and databases serving thematic communities (ADS and PUBMED).

We show the contribution of the different sources to the final corpus. These results are then compared to those obtained with another approach, that of the French Open Science Barometer (Jeangirard, 2019) for monitoring open access at the national level.

We show that both approaches provide a convergent estimate of the open access rate. We also present and discuss the definitions of the concepts used, and list the main difficulties encountered in processing the data.

The results of this study contribute to a better understanding of the respective contributions of the main databases and their complementarity in the broad framework of a country-wide corpus.

They also shed light on the calculation of open access rates and thus contribute to a better understanding of current developments in the field of open science.

URL : Identify scientific publications country-wide and measure their open access: The case of the French Open Science Barometer (BSO)

DOI : https://doi.org/10.1162/qss_a_00179

A Scientific Knowledge Graph with Community Detection and Routes of Search. Testing “GRAPHYP” as a Toolkit for Resilient Upgrade of Scholarly Content

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Authors : Renaud Fabre, Otmane Azeroual, Patrice Bellot, Joachim Schöpfel, Daniel Egret

Unlimited change in scientific terminology challenges integrity in scientific knowledge graph (SKG) representation, while current data and modeling standards, mostly document oriented, hardly allow a resilient semantic upgrade of scholarly content.

Moreover, results of a “multimodal knowledge acquisition” are required for an efficient upgrade of search methods: « vital nodes » differ among users of the same keyword, due to distinct needs of scientific communities, rooted in their own interpretations and controversies.

Modeling and data are challenged to propose new outcomes, mixing automated information and human choices allowing dynamic community detection: to fulfill this program with GRAPHYP toolkit, we identify a workflow ensuring the objectives of integrity and completeness of search management activities.

It encompasses data standards for « routes » of search, modeling of community detection and navigation inside SK bipartite hypergraph, and a first test with extraction of characteristics of communities’ preferences from readings of scholarly content.

“Search is not Research” and therefore further work should explore the links between modeling and data recording research contents and “search and select” results in SKG data structure.

URL : A Scientific Knowledge Graph with Community Detection and Routes of Search. Testing “GRAPHYP” as a Toolkit for Resilient Upgrade of Scholarly Content

Original location : https://hal.archives-ouvertes.fr/hal-03365118

Evaluating the scientific impact of research infrastructures: The role of current research information systems

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Authors : Renaud Fabre, Daniel Egret, Joachim Schöpfel, Otmane Azeroual

Research infrastructures (RI) offer researchers a multitude of research opportunities and services and play a key role in the performance, innovative strength, and international competitiveness of science. As an important part of the generation and use of new knowledge and technologies, they are essential for research policies.

Because of their strategic importance and their need for significant funding, there is a growing demand for the assessment of their scientific output and impact. Current research information systems (CRIS) have contributed for many years now to the evaluation of universities and research organizations.

Based on studies on the application of CRIS to infrastructures and on a recent French report on the scientometric assessment of RI, this paper analyzes the potential of CRIS and their data models and standards (in particular the international CERIF format and the German RDC model) for the monitoring and evaluation of RI.

The interaction between functional specificities of RI and standards for their assessment is outlined, with reference to their own potential to stimulate and share innovation in the networks located inside and outside RI.

This societal challenge, more than an academic issue, is on the way to further harmonization and consolidation of shared and common RI metrics.

DOI : https://doi.org/10.1162/qss_a_00111