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14 results on '"Morane Gruenpeter"'

1. Introducing the FAIR Principles for research software

Author

Michelle Barker, Neil P. Chue Hong, Daniel S. Katz, Anna-Lena Lamprecht, Carlos Martinez-Ortiz, Fotis Psomopoulos, Jennifer Harrow, Leyla Jael Castro, Morane Gruenpeter, Paula Andrea Martinez, and Tom Honeyman

Subjects
Science
Abstract

Abstract Research software is a fundamental and vital part of research, yet significant challenges to discoverability, productivity, quality, reproducibility, and sustainability exist. Improving the practice of scholarship is a common goal of the open science, open source, and FAIR (Findable, Accessible, Interoperable and Reusable) communities and research software is now being understood as a type of digital object to which FAIR should be applied. This emergence reflects a maturation of the research community to better understand the crucial role of FAIR research software in maximising research value. The FAIR for Research Software (FAIR4RS) Working Group has adapted the FAIR Guiding Principles to create the FAIR Principles for Research Software (FAIR4RS Principles). The contents and context of the FAIR4RS Principles are summarised here to provide the basis for discussion of their adoption. Examples of implementation by organisations are provided to share information on how to maximise the value of research outputs, and to encourage others to amplify the importance and impact of this work.

Published
2022
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2. How does software fit into the FDO landscape?

Author

Carlos Martinez-Ortiz, Carole Goble, Daniel Katz, Tom Honeyman, Paula Martinez, Michelle Barker, Leyla Jael Castro, Neil Chue Hong, Morane Gruenpeter, Jennifer Harrow, Anna-Lena Lamprecht, and Fotis Psomopoulos

Subjects
research software, FAIR software, FAIR4RS, Science
Abstract

In academic research virtually every field has increased its use of digital and computational technology, leading to new scientific discoveries, and this trend is likely to continue. Reliable and efficient scholarly research requires researchers to be able to validate and extend previously generated research results. In the digital era, this implies that digital objectsKahn and Wilensky 2006 used in research should be Findable, Accessible, Interoperable and Reusable (FAIR). These objects include (but are not limited to) data, software, models (for example, machine learning), representations of physical objects, virtual research environments, workflows, etc. Leaving any of these digital objects out of the FAIR process may result in a loss of academic rigor and may have severe consequences in the long term for the field, such as a reproducibility crisis. In this extended abstract, we focus on research software as a FAIR digital object (FDO).The FDO framework De Smedt et al. 2020 describes FDOs as being actionable units of knowledge, which can be aggregated, analyzed, and processed by different types of algorithms. Such algorithms must be implemented by software in one form or another. The framework also describes large software stacks supporting FDOs enabling responsible data science and increasing reproducibility. This implies that software is a key ingredient of the FDO framework, and should adhere to the FAIR principles. Software plays multiple roles: it is a DO itself, it is responsible for creating new FDOs (e.g., data) and it helps to make them available to the public (e.g., via repositories and registries). However there is a need to specify in more detail how non-data DOs, in particular software, fit in this framework.Different classes of digital objects have different intrinsic properties and ways to relate to other DOs. This means that while they, in principle, are subject to the high-level FAIR principles, there are also differences depending on their type and properties, requiring an adaptation so FAIR implementations are more aligned to the digital object itself. This holds true in particular to software. Software has intrinsic properties (executability, composite nature, development practices, continuous evolution and versioning, and packaging and distribution) and specific needs that must be considered by the FDO framework. For example, open source software is typically developed in the open on social coding platforms, where releases are distributed through package management systems, unlike data that is typically published in archival repositories. These social coding platforms do not provide long term archiving, permanent identifiers, or metadata, and package management systems, while somewhat better, similarly do not make a commitment to long term archiving, do not use identifiers that fit the scholarly publication system well, and provide metadata that may be missing key elements. The FAIR for research software (FAIR4RS, Chue Hong et al. 2021) working group has dedicated significant effort in building a community consensus around developing FAIR principles that are customized for research software, providing methods for researchers to understand and address these gaps.In this presentation we will highlight the importance of software for the FAIR landscape and why different (but related) FAIR principles are needed for software (vs those originally developed for data). Our goal here is to contribute to building an FDO landscape together, where we consider all different types of digital objects that are essential in today's research, and we are enthusiastic about contributing our expertise on research software in helping shape this landscape.

Published
2022
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3. Curated Archiving of Research Software Artifacts: Lessons Learned from the French Open Archive (HAL)

Author

Roberto Di Cosmo, Morane Gruenpeter, Bruno Marmol, Alain Monteil, Laurent Romary, and Jozefina Sadowska

Subjects
Bibliography. Library science. Information resources
Abstract

Software has become an indissociable support of technical and scientific knowledge. The preservation of this universal body of knowledge is as essential as preserving research articles and data sets. In the quest to make scientific results reproducible, and pass knowledge to future generations, we must preserve these three main pillars: research articles that describe the results, the data sets used or produced, and the software that embodies the logic of the data transformation. The collaboration between Software Heritage (SWH), the Center for Direct Scientific Communication (CCSD) and the scientific and technical information services (IES) of The French Institute for Research in Computer Science and Automation (Inria) has resulted in a specified moderation and curation workflow for research software artifacts deposited in the HAL the French global open access repository. The curation workflow was developed to help digital librarians and archivists handle this new and peculiar artifact - software source code. While implementing the workflow, a set of guidelines has emerged from the challenges and the solutions put in place to help all actors involved in the process.

Published
2020
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8. Software Citation Implementation Challenges.

Author

Daniel S. Katz, Daina Bouquin, Neil P. Chue Hong, Jessica Hausman, Catherine Mary Jones, Daniel Chivvis, Tim Clark, Mercè Crosas, Stephan Druskat, Martin Fenner, Tom Gillespie, Alejandra N. González-Beltrán, Morane Gruenpeter, Ted Habermann, Robert Haines, Melissa Harrison, Edwin A. Henneken, Lorraine J. Hwang, Matthew B. Jones, Alastair A. Kelly, David N. Kennedy, Katrin Leinweber, Fernando Rios, Carly Robinson, Ilian T. Todorov, Mingfang Wu, and Qian Zhang 0022

Published
2019

9. Report on the Workshop on Sustainable Software Sustainability 2021 (WoSSS21)

Author

Shoaib Sufi, Carlos Martinez-Ortiz, Peter Doorn, Jessica Farrell, Michelle Barker, Daniel S. Katz, Adam Jackson, Alexander Struck, Andrew Sandeman, Andrew Stewart, Andy R. Terrel, Ben Companjen, Carina Haupt, Carly Strasser, Carole Goble, Christina Von Flach Garcia Chavez, Colin Venters, Dianne Dietrich, Elena Colón-Marrero, Emma Irwin, Euan Cochrane, Fakhereh (Sarah) Alidoost, Fotis Psomopoulos, Gerard Coen, Hilary Szu Yin Shiue, Ignacio Blanquer, Jean-Noël Grad, Jesse de Vos, Jessica Meyerson, Kelly Rosa Braghetto, Konstantinos Repanas, Martin Hammitzsch, Meta Keijzer-de Ruijter, Michael Courtney, Morane Gruenpeter, Mustafa Doğan, Neil Chue Hong, Nicolas M. Thiéry, Otigbu Austine, Pamela Nye, Patricia Falcão, Paula Andrea Martinez, Rachael Ainsworth, Raniere Silva, Scott Kirycki, Stian Soiland-Reyes, Tom Honeyman, and Vicky Rampin

Subjects
software sustainability, software, Code, Open Research, Research, Research Software, Software preservation, infrastructure, cultural heritage, FAIR Software, Open Science, Long lived software, Software Policy, FAIR
Abstract

This report is based on the discussions, presentations, and reflections on the Workshop on Sustainable Software Sustainability (wosss.org/wosss21/home) that took place in October 2021 (WoSSS21). The workshop brought together leaders, managers, and specialists in software sustainability. The topics covered included Open Science, FAIR software, human and technical infrastructure, advances in research software and software aspects of cultural heritage. The report captures the state of the art for a range of software sustainability topics according to those who attended. It contains featured sections (where authors provided information beyond a summary), summaries, discussions, and where applicable links to videos of the talks, slides and transcripts. This is the 4th report in the WoSSS report series (wosss.org).

Published
2023
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10. 'Garantir la cohérence des données constitue le cœur de notre activité' : entretien autour des enjeux descriptifs du code source

Author

Alain Monteil, Morane Gruenpeter, Jozefina Sadowska, Estelle Nivault, Information et Édition Scientifiques (IES), Direction de la Culture et de l’Information Scientifiques (DCIS), Inria Siège, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Inria Siège, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), and Software Heritage

Subjects
[INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL]
Abstract

National audience; Imaginez votre réaction en découvrant cette référence bibliographique : « Notre-Dame de Paris, aux alentours de je ne sais quoi, écrit peut-être par un certain Victor,dont le patronyme me reviendra plus tard ; c’est l’édition avec la couverture bleue. » Telpeut être le degré d’exactitude auquel les chercheurs sont confrontés lorsqu’il s’agit dedésigner des logiciels. Certes, le trait est grossi, mais la question de la description deslogiciels de recherche est restée entière pendant de longues années. Essentiels à l’activitéscientifique, les logiciels sont les mal-aimés des pratiques de référencement et decitation. Afin d’oeuvrer à une meilleure reconnaissance (dans tous les sens du terme)des logiciels conçus par les chercheurs, Roberto Di Cosmo a sollicité, en 2017, le serviceInformation et édition scientifique (IES) de l’Inria pour impulser une collaborationentre Software Heritage et HAL. Une collaboration inter-métiers s’est ainsi nouée entreMorane Gruenpeter (Software Heritage) et Jozéfina Sadowska et Alain Monteil (IES),rejoints par Estelle Nivault (IES).

Published
2021

11. FAIR 4 Research Software

Author

Dr. Anna-Lena Lamprecht, Dr. Daniel S. Katz, Dr. Fotis Psomopoulos, Dr. Jennifer Harrow, Dr. Leyla Garcia, Mateusz Kuzak, Dr. Michelle Barker, Morane Gruenpeter, Dr. Paula Andrea Martinez, and Neil Chue Hong

Abstract

The software has become essential for research. To improve the Findability, Accessibility, Interoperability, and Reuse of research software, it is desirable to develop and apply a set of FAIR Guiding Principles for software. Application of the FAIR principles to software will continue to advance the aims of the open science movement. The FAIR 4 Research Software Working Group (FAIR4RS WG) aims to enable coordination of existing community-led discussions on how to define and apply FAIR principles to research software, and achieve adoption of these principles. The FAIR4RS WG is jointly convened as an RDA Working Group, FORCE11 Working Group, and Research Software Alliance (ReSA) Taskforce, in recognition of the importance of this work. Since July 2020, the group has been analysing existing work in this area and has started drafting community-agreed-upon FAIR principles for research software. This workshop will provide the following opportunities: Build skills in the development of principles and standards by contributing to the drafting of a set of FAIR principles relevant to research software. Understand the fundamental properties and uses of research software. Build new collaborations and engage with other RSEs and community members. Identify pathways to create (or synthesise existing work on) other elements of the application of FAIR to research software for future collaborations, such as the development of FAIR software indicators, maturity models, curriculums and competence centres. Consider how RSEs could play a critical role in advancing the FAIR for research software agenda, as early adopters, champions, case study contributors, and in ways that support regional/disciplinary RSE priorities. The workshop will encourage collaboration around the drafting of FAIR for research software principles and will include progress updates on the four FAIR4RS subgroups

Published
2020
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12. Curated Archiving of Research Software Artifacts : lessons learned from the French open archive (HAL)

Author

Laurent Romary, Morane Gruenpeter, Alain Monteil, Jozefina Sadowska, Bruno Marmol, Roberto Di Cosmo, Software Heritage, Université de Paris (UP), University of L'Aquila [Italy] (UNIVAQ), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria), Centre pour la Communication Scientifique Directe (CCSD), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Inria Siège, Information et Édition Scientifiques (IES), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Université de Paris, Université Paris Cité (UPCité), Centre National de la Recherche Scientifique (CNRS), Direction de la Culture et de l’Information Scientifiques (DCIS), and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Inria Siège

Subjects
Sociology of scientific knowledge, Source code, reproducinility, citation, Computer science, Process (engineering), media_common.quotation_subject, preservation, Data transformation, software curation, 02 engineering and technology, CCSD, World Wide Web, Body of knowledge, Software, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, software deposit, [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL], Software Heritage, reproducibility, media_common, moderation, business.industry, 05 social sciences, PID, digital archiving, lcsh:Z, HAL, lcsh:Bibliography. Library science. Information resources, legacy, Workflow, software metadata, IES Inria, 0509 other social sciences, 050904 information & library sciences, business, Scientific communication
Abstract

This work was submitted to IJDC as a peer reviewed paper as part of the International Digital Curation Conference (IDCC) submission process. It will be presented at IDCC2020.; International audience; Software has become an indissociable support of technical and scientific knowledge. The preservation of this universal body of knowledge is as essential as preserving research articles and data sets. In the quest to make scientific results reproducible, and pass knowledge to future generations, we must preserve these three main pillars: research articles that describe the results, the data sets used or produced, and the software that embodies the logic of the data transformation. The collaboration between Software Heritage (SWH), the Center for Direct Scientific Communication (CCSD) and the scientific and technical information services (IES) of The French Institute for Research in Computer Science and Automation (Inria) has resulted in a specified moderation and curation workflow for research software artifacts deposited in the HAL open access repository. The curation workflow was developed to help digital librarians and archivists handle this new and peculiar artifact-software source code. While implementing the workflow, a set of guidelines has emerged from the challenges and the solutions put in place to help all actors involved in the process.

Published
2020
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13. La modération d'un dépôt logiciel

Author

Morane Gruenpeter, Jozefina Sadowska, Software Heritage, Information et Édition Scientifiques (IES), Inria Siège, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Inria, and CCSD

Subjects
digital librarian, moderation, guide, préservation du patrimoine logiciel, logiciel, code source, reproductibilité numérique, archiving, open source, archivage, modération, dépôt, [INFO]Computer Science [cs], software source code
Abstract

The collaboration between Hal-Inria (the Inria open repositoy), the CCSD (Center forDirect Scientific Communication) and Software Heritage resulted in the establishment ofa submission and moderation process of software source code. This guide presents best practices for moderating software deposits in the Hal Portal.; Une collaboration étroite entre Hal-Inria (l’archive ouverte d’Inria), le CCSD (Centre pourla Communication Scientifique Directe) et Software Heritage a abouti à la mise en placed’un processus permettant de déposer des codes sources de logiciels via le portail HAL et leurarchivage pérenne dans Software Heritage.Ce guide présente les bonnes pratiques pour modérer les dépôts logiciels dans le portail Hal.

Published
2018

14. Create software deposit

Author

Morane Gruenpeter, Jozefina Sadowska, Software Heritage, Information et Édition Scientifiques (IES), Inria Siège, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Inria, and CCSD

Subjects
Logiciel open source, préservation du patrimoine logiciel, [INFO]Computer Science [cs], Dépôt, Archivage, Open / free software, code source, Source code, reproductibilité numérique, Reproductibility, Guide
Abstract

Une collaboration étroite entre Hal-Inria (l’archive ouverte d’Inria), le CCSD (Centre pourla Communication Scientifique Directe) et Software Heritage a abouti à la mise en placed’un processus permettant de déposer des codes sources de logiciels via le portail HAL et leurarchivage pérenne dans Software Heritage.Ce guide présente les bonnes pratiques pour l’utilisation de cette fonctionnalité de dépôt.

Published
2018

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