My work concerns large-scale observation systems of terrestrial and marine (agro)ecosystems and information systems and the dissemination of biodiversity knowledge coupled with them. I am particularly interested in new methods of data mining and data representation in the form of graphs. This formalization of knowledge makes it possible to envisage the use of new methods to analyze heterogeneous data, to propose scientific questions emerging from the data (and not the reverse, which is the classical scientific approach), and to make Scenario proposals dependent on contextual variables that can be used in the area of decision support. I wish to continue to invest in the development of multidisciplinary research programs and partnerships involving scientists and public actors.
see more at https://cv.archives-ouvertes.fr/romain-david
Les habitats coralligènes sont des habitats côtiers marins typiquement méditerranéens, recensés s... more Les habitats coralligènes sont des habitats côtiers marins typiquement méditerranéens, recensés sur la plupart des côtes méditerranéennes à des profondeurs entre 20 et 120 m. Ils représentent des fonds durs d'origine biogénique, essentiellement formés par des rhodophytes calcaires se développant dans des conditions de lumière réduite, et sont parmi les plus importantes sources de biodiversité marine en Méditerranée avec les herbiers de posidonies (UNEP, 2007). 1670 espèces ont été recensées dans les habitats coralligènes et l'actuel manque d'études approfondies de ces communautés laisse supposer que leur richesse spécifique est sous-estimée (Ballesteros, 2006). Cette biodiversité luxuriante et les fonctions écologiques inhérentes à l'écosystème sont à l'origine d'un ensemble de services écologiques ou "processus biologiques dont l'homme peut tirer profit" (Bouvron, 2009). Leur usage ou leur perception par l'homme procure à ce dernier des aménités pouvant faire l'objet d'une évaluation économique. La connaissance actuelle des communautés coralligènes permet d'affirmer leur contribution (i) à la production de ressources alimentaires et de matières premières, (ii) à la régulation des écosystèmes côtiers, et (iii) à la réalisation d'activités récréatives et touristiques grâce à leur caractère paysager attractif et leur abondance en espèces gastronomiques . L'objet de cette étude est la mise en évidence de services écosystémiques procurés par les habitats coralligènes, puis l'évaluation économique de certains de ces services
"Mejean la Tete de Chien" is a calanque near the "Parc de la Cote Bleue", in ... more "Mejean la Tete de Chien" is a calanque near the "Parc de la Cote Bleue", in the north of Marseilles' Bay. This place is a site? where the temperature is recorded by the OSU Pytheas. Many diving clubs are visiting it.
Although FAIR Research Data Principles are targeted at and implemented by different communities, ... more Although FAIR Research Data Principles are targeted at and implemented by different communities, research disciplines, and research stakeholders (data stewards, curators, etc.), there is no conclusive way to determine the level of FAIRness intended or required to make research artefacts (including, but not limited to, research data) Findable, Accessible, Interoperable, and Reusable. The FAIR Principles cover all types of digital objects, metadata, and infrastructures. However, they focus their narrative on data features that support their reusability. FAIR defines principles, not standards, and therefore they do not propose a mechanism to achieve the behaviours they describe in an attempt to be technology/implementation neutral. A range of FAIR assessment metrics and tools have been designed that measure FAIRness. Unfortunately, the same digital objects assessed by different tools often exhibit widely different outcomes because of these independent interpretations of FAIR. This resu...
As sensitive data are increasingly used for research purposes, reducing the risk of data misuse h... more As sensitive data are increasingly used for research purposes, reducing the risk of data misuse has become particularly crucial. At the same time, as demonstrated during the COVID19 crisis, sharing high-quality data is a sine qua non to assess and compare research results and to leverage data to their fullest capacity. The Sensitive Data Interest Group aims to promote the FAIR principles and reproducible research, while drawing attention to the unique risks associated with sensitive data and exploring mitigation strategies for these risks. Synthesis research that aggregates data at large scales often uses several kinds of sensitive data, but the ethical and legal issues are often not fully addressed, especially when harmonising differing ethical and legal considerations across regions. Further complicating matters, "sensitive data" are often not even defined in the same way. As a result, reproducing research in different regions or contexts is often difficult, and sensitiv...
BeSURE Recommendations FAIR principles in Life Sciences, 2023
practices sharing. Finally, we illustrate how data harmonisation and collaborative work facilitat... more practices sharing. Finally, we illustrate how data harmonisation and collaborative work facilitate interoperability of tools, data, solutions and lead to a better understanding of concepts, semantics and functionalities in the life sciences.
Les habitats coralligènes sont des habitats côtiers marins typiquement méditerranéens, recensés s... more Les habitats coralligènes sont des habitats côtiers marins typiquement méditerranéens, recensés sur la plupart des côtes méditerranéennes à des profondeurs entre 20 et 120 m. Ils représentent des fonds durs d'origine biogénique, essentiellement formés par des rhodophytes calcaires se développant dans des conditions de lumière réduite, et sont parmi les plus importantes sources de biodiversité marine en Méditerranée avec les herbiers de posidonies (UNEP, 2007). 1670 espèces ont été recensées dans les habitats coralligènes et l'actuel manque d'études approfondies de ces communautés laisse supposer que leur richesse spécifique est sous-estimée (Ballesteros, 2006). Cette biodiversité luxuriante et les fonctions écologiques inhérentes à l'écosystème sont à l'origine d'un ensemble de services écologiques ou "processus biologiques dont l'homme peut tirer profit" (Bouvron, 2009). Leur usage ou leur perception par l'homme procure à ce dernier des aménités pouvant faire l'objet d'une évaluation économique. La connaissance actuelle des communautés coralligènes permet d'affirmer leur contribution (i) à la production de ressources alimentaires et de matières premières, (ii) à la régulation des écosystèmes côtiers, et (iii) à la réalisation d'activités récréatives et touristiques grâce à leur caractère paysager attractif et leur abondance en espèces gastronomiques . L'objet de cette étude est la mise en évidence de services écosystémiques procurés par les habitats coralligènes, puis l'évaluation économique de certains de ces services
"Mejean la Tete de Chien" is a calanque near the "Parc de la Cote Bleue", in ... more "Mejean la Tete de Chien" is a calanque near the "Parc de la Cote Bleue", in the north of Marseilles' Bay. This place is a site? where the temperature is recorded by the OSU Pytheas. Many diving clubs are visiting it.
Although FAIR Research Data Principles are targeted at and implemented by different communities, ... more Although FAIR Research Data Principles are targeted at and implemented by different communities, research disciplines, and research stakeholders (data stewards, curators, etc.), there is no conclusive way to determine the level of FAIRness intended or required to make research artefacts (including, but not limited to, research data) Findable, Accessible, Interoperable, and Reusable. The FAIR Principles cover all types of digital objects, metadata, and infrastructures. However, they focus their narrative on data features that support their reusability. FAIR defines principles, not standards, and therefore they do not propose a mechanism to achieve the behaviours they describe in an attempt to be technology/implementation neutral. A range of FAIR assessment metrics and tools have been designed that measure FAIRness. Unfortunately, the same digital objects assessed by different tools often exhibit widely different outcomes because of these independent interpretations of FAIR. This resu...
As sensitive data are increasingly used for research purposes, reducing the risk of data misuse h... more As sensitive data are increasingly used for research purposes, reducing the risk of data misuse has become particularly crucial. At the same time, as demonstrated during the COVID19 crisis, sharing high-quality data is a sine qua non to assess and compare research results and to leverage data to their fullest capacity. The Sensitive Data Interest Group aims to promote the FAIR principles and reproducible research, while drawing attention to the unique risks associated with sensitive data and exploring mitigation strategies for these risks. Synthesis research that aggregates data at large scales often uses several kinds of sensitive data, but the ethical and legal issues are often not fully addressed, especially when harmonising differing ethical and legal considerations across regions. Further complicating matters, "sensitive data" are often not even defined in the same way. As a result, reproducing research in different regions or contexts is often difficult, and sensitiv...
BeSURE Recommendations FAIR principles in Life Sciences, 2023
practices sharing. Finally, we illustrate how data harmonisation and collaborative work facilitat... more practices sharing. Finally, we illustrate how data harmonisation and collaborative work facilitate interoperability of tools, data, solutions and lead to a better understanding of concepts, semantics and functionalities in the life sciences.
The one thing in common “archaeological”, “biodiversity” or “social systems” studies share is tha... more The one thing in common “archaeological”, “biodiversity” or “social systems” studies share is that data production is both expensive and few automated. Long time series and / or large spatial surveys are difficult to conduct, since it is necessary to use several observers. The robustness and reproducibility of the observation are also harder to get and is obviously impossible in archaeological sciences, even if modeling methods are improved. In a context of multi-source data production, the equivalence of observation systems and the inter-calibration of the observers become crucial. Multi-disciplinary integrative approaches become necessary to study systems where the output of data, in each discipline, is discontinuous, imprecise and poorly distributed. Yet, all variables (characterization of economic activities and human installation, productions studies, characteristics of the discovered or reconstituted objects, biotic or abiotic data, maps of anthropogenic and natural pressures,...
2nd Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR) (Onto4FAIR), Sherbrooke, Québec (Canada), 17-19 July, 2023, 2023
Semantic interoperability (SI) is at the heart of the FAIR principles and of the design of large ... more Semantic interoperability (SI) is at the heart of the FAIR principles and of the design of large scale cross disciplinary infrastructures. The European Open Science Cloud (EOSC) is a European-wide effort towards such an infrastructure, aiming to deepen the regional research collaboration and realising a shared data space for science, research and innovation. In this context, the research community's voice is represented by the EOSC Association (EOSC-A) and a number of advisory groups with a broad range of representatives from different stakeholder organisations. The advisory group on metadata and data quality has formed a task force focusing on developing and implementing recommendations for SI (EOSC SI Task Force) with the ambition to converge on globally relevant and scalable SI solutions for EOSC. This paper provides context to SI in EOSC, the various components contributing to it, as well as some views on the socio-technical challenges to arriving at a consensus. In particular, the paper provides motivation for exploring the heterogeneity of SI solutions demonstrated across scientific communities and insight into the task force's planned approach to conduct a survey to identify relevant components and structures. The paper is also an invitation to the global community to align and engage with the task force's activities going forward.
Background: The coronavirus disease 2019 (COVID-19) global pandemic required a rapid and effectiv... more Background: The coronavirus disease 2019 (COVID-19) global pandemic required a rapid and effective response. This included ethical and legally appropriate sharing of data. The European Commission (EC) called upon the Research Data Alliance (RDA) to recruit experts worldwide to quickly develop recommendations and guidelines for COVID-related data sharing. Purpose: The purpose of the present work was to explore how the RDA succeeded in engaging the participation of its community of scientists in a rapid response to the EC request. Methods: A survey questionnaire was developed and distributed among RDA COVID-19 work group members. A mixed-methods approach was used for analysis of the survey data. Results: The three constructs of radical collaboration (inclusiveness, distributed digital practices, productive and sustainable collaboration) were found to be well supported in both the quantitative and qualitative analyses of the survey data. Other social factors, such as motivation and group identity were also found to be important to the success of this extreme collaborative effort. Conclusions: Recommendations and suggestions for future work were formulated for consideration by the RDA to strengthen effective expert collaboration and interdisciplinary efforts.
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Poster by Romain David
Papers by Romain David