CO-OPERAS: an Implementation Network for SSH fairification

International audienc

Adiabatic scaling relations of galaxy clusters

The aim of the present work is to show that, contrary to popular belief, galaxy clusters are **not** expected to be self-similar, even when the only energy sources available are gravity and shock-wave heating. In particular, we investigate the scaling relations between mass, luminosity and temperature of galaxy groups and clusters in the absence of radiative processes. Theoretical expectations are derived from a polytropic model of the intracluster medium and compared with the results of high-resolution adiabatic gasdynamical simulations. It is shown that, in addition to the well-known relation between the mass and concentration of the dark matter halo, the effective polytropic index of the gas also varies systematically with cluster mass, and therefore neither the dark matter nor the gas profiles are exactly self-similar. It is remarkable, though, that the effects of concentration and polytropic index tend to cancel each other, leading to scaling relations whose logarithmic slopes roughly match the predictions of the most basic self-similar models. We provide a phenomenological fit to the relation between polytropic index and concentration, as well as a self-consistent scheme to derive the non-linear scaling relations expected for any cosmology and the best-fit normalizations of the M-T, L-T and F-T relations appropriate for a Lambda-CDM universe. The predicted scaling relations reproduce observational data reasonably well for massive clusters, where the effects of cooling and star formation are expected to play a minor role.Comment: 12 pages, 5 figures, accepted by MNRA

OPERAS SIG on Tools for Open Scholarly Communication : White Paper 2021

This white paper is the output of the OPERAS Special Interest Group (SIG) Tools and R&D for scholarly communication; it is an updated version of a previous 2018 white paper1. With a focus on scholarly publishing tools, the objectives of the SIG Tools are to: provide a landscape analysis, identify emerging trends, and list the areas of potential improvements, developments, and collaborations. Since 2018, various studies and initiatives confirmed the necessity to both coordinate the developments of tools and provide guidance to the users. Similarly, OPERAS emphasizes the importance of building the open science scholarly communication infrastructure in Social Sciences and Humanities on community driven tools. The white paper brings information on the existing tools for scholarly publishing, as well as recommendations that will support the building of such an open scholarly communication infrastructure. The paper first examines tools types, definitions, and criteria that are able to facilitate their description and selection. The tools are then analyzed according to publishing main functions. For authoring, the development of online and collaborative tools represents an interesting perspective, especially when relying on structured formats, but also increases the risk of lock-in within multi-functional proprietary services. In peer reviewing, alongside widely used commercial tools, open peer review represents an innovative area, both in terms of usage and tools. Open source tools for publishing already offer a high level of service, but face interoperability challenges with the integration of an increasing variety of third-party services. A specific section is dedicated to communicating tools allowing for comments and annotations, as such function is transversal to the others. To complement this description, the SIG tools also identified major trends that should impact the future of scholarly communication, namely: preprint servers, artificial intelligence, data papers, and user-centric developments. In conclusion, the white paper provides a list of recommendations able to address the challenges identified and to provide building blocks for the envisioned open scholarly infrastructure. The recommendations suggest: to establish user-centric criteria for tools, a tools’ observatory, a set of training materials, guidelines about publishing workflows, and collaborations with other community initiatives

Draft Methodology for FAIR-by-Design Learning Materials

This document describes a methodology for FAIR-by-design production of learning materials based on the backward instructional process that is extended with additional activities focusing on the implementation of the FAIR guiding principles. A general discussion on important aspect of implementation such as granularity, scope, metadata schema, interoperability and publication in relevant repositories is provided together with a step by step six stage workflow and checklists that help implement the FAIR-by-design process. The outlined methodology will be used as a blueprint for a train-the-trainer course aiming to present the practical FAIR-by-design instructional design

GOTRIPLE:a user-centric process to develop a discovery platform

Social sciences and humanities (SSH) research is divided across a wide array of disciplines, sub-disciplines and languages. While this specialization makes it possible to investigate the extensive variety of SSH topics, it also leads to a fragmentation that prevents SSH research from reaching its full potential. The TRIPLE project brings answers to these issues by developing an innovative discovery platform for SSH data, researchers’ projects and profiles. Having started in October 2019, the project has already three main achievements that are presented in this paper: (1) the definition of main features of the GOTRIPLE platform; (2) its interoperability; (3) its multilingual, multicultural and interdisciplinary vocation. These results have been achieved thanks to different methodologies such as a co-design process, market analysis and benchmarking, monitoring and co-building. These preliminary results highlight the need for respecting diversity of practices and communities through coordination and harmonization

Addendum: Dumouchel, S., et al. GOTRIPLE: A User-Centric Process to Develop a Discovery Platform. Information 2020, 11, 563

The authors would like to add the following reference to the “Reference” section of their paper [...

D2.2 Methodology for FAIR-by-Design Training Materials

This document describes a methodology for FAIR-by-design production of learning materials based on the backward instructional process that is extended with additional activities focusing on the implementation of the FAIR guiding principles. A general discussion on important aspects of implementation such as granularity, scope, metadata schema, interoperability and publication in relevant repositories is provided together with a step by step six stage workflow and checklists that help implement the FAIR-by-design process. The outlined methodology will be used as a blueprint for a train-the-trainer course aiming to present the practical FAIR-by-design instructional design

Valorisation du corpus « Cyberbase Gradignan »

Dans le cadre du partage des ressources scientifiques numériques, Praxiling a entrepris la valorisation de l’un de ses corpus oraux multimodaux. Le corpus « Cyberbase Gradignan » a été établi par des chercheurs de l’axe ITEEC (Interactions et Technologies Éducatives en Environnement Carcéral) de Praxiling et des chercheurs de l’équipe TELEM (Textes, Écritures, Littérature et Modèles) de l’Université de Bordeaux 3. Cette collaboration s’est déroulée au sein du groupe de recherche « Action et i..

FAIR SSH Working Group: collaborations and prospects

Since their first appearance in the international research environment in 2016, FAIR principles have become a major and fully recognized component of open science. Even more so, they have so much expanded their fields of application that there is almost no research grant, especially in the case of European-funded projects, that does not mention the principles, albeit often in the requirements coupled to the data management plans. While the FAIR principles have become a high-level landmark for..

FAIRifying a scholarly publishing service: Elements for a toolkit

The FAIR principles (Findability, Accessibility, Interoperability, and Reusability) constitute a guide whose aim is to improve the management of digital scholarly resources. Nevertheless, the literature regarding data services other than data repositories is still scarce. OpenEdition is a digital infrastructure for open scholarly communication in the Social Sciences and Humanities (SSH) that carried out an internal full review to assess the degree of FAIRness of its activities. The objective of this paper is to present the methodology employed by OpenEdition’s team and the recommendations for the FAIRification of a publishing system, and hence, the elements for the FAIR Publishing Toolkit. The FAIR review was conducted in three main phases: preparation, assessment, and result phase, which listed the recommendations for the FAIR principles implementation. The preparation phase gathered the available information to define the perimeter of the FAIR review. It comprised two steps: the landscape study and the exam of actual use cases. The assessment phase contextualized the FAIR principles according to the scholarly publishing context, defined the datasets to be analyzed, carried out a FAIR maturity review per dataset, and analyzed the state of the art of some important FAIR-related elements. The result phase produced the recommendations, organized as priorities and extended objectives. The priority recommendations regard persistent identifiers and licensing policies. The extended objectives focus on authors' information management, controlled vocabularies, machine-actionability, and Digital Management Plans.This paper is a collaborative work conducted by the OpenEdition's team for the CO-OPERAS IN project. CO-OPERAS is a GOFAIR Implementation Network funded by the ANR