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本セッションは、DataCiteとジャパンリンクセンター(JaLC)との共同開催でした。JaLC は、日本の研究機関や大学によるDataCite DOI登録を行なうコンソーシアム(JaLCコンソーシアム)を設立しました。本セッションでは、DataCiteとJaLCから、JaLCの新しいコンソーシアムの発足について、および両組織のパートナーシップなどを紹介しました。このセッションで重要なのは、日本の研究コミュニティに対して、ジャーナル論文以外の研究成果、研究データについて、永続的識別子(Persistent Identifier:PID)を登録することの価値を強調することでした。

Ensure your team has access to common resources and guidelines that support collaboration, transparency, and openness. This work is part of theBuilding New Tools for Data Sharing and Re-use through a Transnational Investigation of the Socioeconomic Impacts of Protected Areas (PARSEC)project with fundingprovided by the Belmont Forum through the National Science Foundation, NSF, Grant1929464, (US), Agence Nationale de la Recherche,ANR (France), Fundação de Amparo à Pesquisa do Estado de São Paulo,FAPESP (Brazil), and Japan Science and Technology Agency,JST (Japan). Version 2 includes minor text updates adding clarification, updated links, and funder logos.&nbsp

Ensure all digital objects created or used by the team are fully documented, preserved for the long-term, and made openly accessible to the team. This work is part of theBuilding New Tools for Data Sharing and Re-use through a Transnational Investigation of the Socioeconomic Impacts of Protected Areas (PARSEC)project with fundingprovided by the Belmont Forum through the National Science Foundation, NSF, Grant1929464, (US), Agence Nationale de la Recherche,ANR (France), Fundação de Amparo à Pesquisa do Estado de São Paulo,FAPESP (Brazil), and Japan Science and Technology Agency,JST (Japan). Version 2 includes minor text updates adding clarification, updated links, and funder logos.&nbsp

Asegúrese de que su equipo tiene acceso a recursos y guías comunes que favorezcan la colaboración, la transparencia y la apertura. Este trabajo es parte del proyectoCreación de nuevas herramientas para compartir y reutilizar datos a través de una investigación transnacional de los impactos socioeconómicos de las áreas protegidas (PARSEC)financiado por Belmont Forum a través de National Science Foundation, NSF, Grant 1929464, (EE.UU), Agence Nationale de la Recherche, ANR (Francia), Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP (Brasil) y Japan Science and Technology Agency, JST (Japón).

Garantizar que todos los objetos digitales creados o utilizados por el equipo estén plenamente documentados, se preserven a largo plazo y el equipo pueda acceder a ellos abiertamente. Este trabajo es parte del proyectoCreación de nuevas herramientas para compartir y reutilizar datos a través de una investigación transnacional de los impactos socioeconómicos de las áreas protegidas (PARSEC)financiado por Belmont Forum a través de National Science Foundation, NSF, Grant 1929464, (EE.UU), Agence Nationale de la Recherche, ANR (Francia), Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP (Brasil) y Japan Science and Technology Agency, JST (Japón).

Desenvolva e utilize práticas de Ciência Aberta para seu laboratório ou grupo de pesquisa. Melhore as práticas de gerenciamento de dados e software da equipe. Codifique estas práticas no Código de Prática de Ciência Aberta de seu grupo. Este trabalho é parte do projetoDesenvolvimento de Novas Ferramentas para o Compartilhamento e Reuso de Dados através de Pesquisa Transnacional sobre o Impacto Socioeconômico das Unidades de Conservação (PARSEC)financiado pelo Belmont Forum por meio da National Science Foundation, NSF, Grant 1929464, (EUA), Agence Nationale de la Recherche, ANR (França), Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP (Brasil) e Japan Science and Technology Agency, JST (Japão).

Garanta que sua equipe tenha acesso aos recursos e às diretrizes que dão suporte à colaboração, transparência e abertura. Este trabalho é parte do projeto Desenvolvimento de Novas Ferramentas para o Compartilhamento e Reuso de Dados através de Pesquisa Transnacional sobre o Impacto Socioeconômico das Unidades de Conservação (PARSEC) financiado pelo Belmont Forum por meio da National Science Foundation, NSF, Grant 1929464, (EUA), Agence Nationale de la Recherche, ANR (França), Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP (Brasil) e Japan Science and Technology Agency, JST (Japão).

Certifique-se de que todos os objetos digitais criados ou usados pela equipe sejam plenamente documentados, preservados para o longo prazo e disponibilizados abertamente para o grupo. Este trabalho é parte do projetoDesenvolvimento de Novas Ferramentas para o Compartilhamento e Reuso de Dados através de Pesquisa Transnacional sobre o Impacto Socioeconômico das Unidades de Conservação (PARSEC)financiado pelo Belmont Forum por meio da National Science Foundation, NSF, Grant 1929464, (EUA), Agence Nationale de la Recherche, ANR (França), Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP (Brasil) e Japan Science and Technology Agency, JST (Japão).

Développez et utilisez des pratiques de “Science Ouverte” pour votre laboratoire/équipe de recherche. Utilisez ces conseils pour améliorer les pratiques de gestion des données et des logiciels de votre équipe afin de favoriser la science ouverte. Inscrivez-les dans la charte de pratiques “Science Ouverte” de votre équipe. Ce travail a été réalisé dans le cadre du projetPARSEC (Building New Tools for Data Sharing and Re-use through a Transnational Investigation of the Socioeconomic Impacts of Protected Areas)financé par le Forum Belmont via la National Science Foundation, NSF, Grant 1929464, (USA), l'Agence Nationale de la Recherche, ANR (France), la Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP (Brésil), et la Japan Science and Technology Agency, JST (Japon).

Veillez à bien documenter, archiver à long terme et à rendre librement accessiblestous les objets numériques créés ou utilisés par l'équipe. Ce travail a été réalisé dans le cadre du projetPARSEC (Building New Tools for Data Sharing and Re-use through a Transnational Investigation of the Socioeconomic Impacts of Protected Areas)financé par le Forum Belmont via la National Science Foundation, NSF, Grant 1929464, (USA), l'Agence Nationale de la Recherche, ANR (France), la Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP (Brésil), et la Japan Science and Technology Agency, JST (Japon).

This presentation was given at a session organised by the ESIP/RDA Earth, Space, Environmental Sciences Interest Group for the RDA Plenary 20 in Gothenburg, Sweden on the 23th March 2023 entitled 'Continuing the Circle of Life of Earth and Environmental Science Data Infrastructure Projects: Maturing PARSEC and ENVRI-FAIR, Beginning New Adventures…'. In this presentation, we cover the broad achievements of our Belmont-funded project, PARSEC (Building new tools for data sharing and re-use through a transnational investigation of the socio-economic impacts of protected areas), discuss some challenges we have encountered and how we have overcome them, and our next steps., This research is product of the PARSEC group funded by the Belmont Forum as part of its Collaborative Research Action (CRA) on Science-Driven e-Infrastructures Innovation (SEI), with funding from FAPESP, JST, ANR, and NSF and support from the synthesis centre CESAB of the French Foundation for Research on Biodiversity and our many partners. The link to the talk within the session is here: https://youtu.be/I3YBPEYFXYg?t=2148

Material samples are a vital output of the scientific endeavour. They underpin research in the Earth, Space, and Environmental Sciences, and are a necessary component of ensuring the transparency and reproducibility of such research. While there has been a lot of discussion in recent years about the openness and FAIRness of data, code, methods, and so on, material samples have been much less under the spotlight. The lack of focus on material samples is in part due to them being unique as a research output, in the sense that they are inherently physical and thus they are mostly transported and managed by human beings rather than machines; it is rather more straightforward to archive and share both information about an output—and the output itself—for something that is already a digital object. However, it is for this reason that materials samples must be made more FAIR and treated as first-class citizens of Open Science. To do this, one needs to connect the physical and digital worlds. IGSN IDs enable these connections to be made. The IGSN ID is a globally unique and persistent identifier (PID) specifically for labelling material samples themselves (i.e., they are for neither images nor data about a sample). Functionally a Digital Object Identifier (DOI) registered under DataCite services, the IGSN ID can be applied to all types of material samples coming from any discipline. Not only can IGSN IDs be used to identify individual material samples that currently exist in a repository, museum, or otherwise, but they can also be registered At the aggregate level for sample collections. For the sites from which the samples are taken. For ephemeral samples. Importantly, in all cases, when registering an IGSN IDs, one must supply metadata in the DataCite Metadata Schema, as well as create landing pages that supply additional, disciplinary, user-focussed information about the collection, site, or (sub)sample. Hence, by registering a PID for a physical object, it is given a permanently resolvable URI to a findable and accessible digital footprint, and through the provision of rich metadata, enables its interoperability and reusability. Sharing of associated data is also possible within the metadata, and one may even include the potential for relocation of a sample itself for reuse. This presentation will briefly introduce the IGSN ID and the partnership between DataCite and the IGSN e.V. to transfer the IGSN PID infrastructure under DataCite DOI services. It will mainly highlight practical use cases of IGSN IDs, including what is needed to include them in the sample workflow. It will also talk about efforts to better support IGSN IDs and sample metadata within the DataCite Metadata Schema.

At the end of 2022, we conducted our annual member survey, asking our members about their experience being part of the DataCite community and how DataCite services might alleviate any challenges they are facing. We thank the many members who participated in the survey for sharing their valuable perspectives with us. After analyzing their insights, we are pleased to publish the following summary of the main outcomes.

DataCite now has a mechanism built into Fabrica for designating a Repository account as an IGSN ID Catalog that will be used exclusively for the registration of IGSN IDs. This development ensures identification of Repositories and prefixes that are used for IGSN ID registration, and enables IGSN IDs to be tracked and identified. It also enables future updates to DataCite services and our Metadata Schema to be correctly applied to IGSN IDs.

This presentation describes two initiatives aimed at enhancing FAIRification of sample data. One is being undertaken by SciLifeLab Data Centre. In conjunction with instating the infrastructure to allow handling of biospecimens in life sciences, associated metadata and datasets, we hope to mobilize the community to identify the minimum set of attributes required for describing biospecimens in biological life science (Minimal Information About a Biological Sample, MIABS) with ontological mapping for semantic unambiguity and machine actionability. The aim is to facilitate the highest levels of interoperability and portability of sample information between multiple repositories and other kinds of resources (e.g. e-infrastructures). In addition, identifying the required attributes for registering PIDs for biospecimen will pave the way for a framework of coupling the descriptive metadata to the digital object in a FAIR and comprehensive manner. The other initiative is development being undertaken with the Inventory (sample management) module of the RSpace electronic research notebook, in collaboration with the FAIMS3 field acquisition information management system. The aim is similar to SciLifeLab’s as described above: to facilitate portability and interoperability of sample information – in this case between a tool (RSpace) that supports user-friendly sample collection and management and association of sample data and metadata with experimental data – and other tools, repositories and e-infrastructures. Both initiatives aim to implement certain common core elements designed to FAIRify sample data: Association of variable domain-specific PIDS with sample data Incorporation of variable but standardized metadata schemas User-friendly collection of sample data in the field Scalable submission of sample metadata in standardized formats to domain repositories Automated and scalable passage of sample data and metadata within the respective systems and into external tools and resources Challenges faced in implementing each of these elements, and approaches to overcoming the challenges under consideration or implementation by the two initiatives, will be described. The potential role for the new IGSN sample identifier being developed by IGSN and DataCite will be highlighted.

In October 2021, DataCite and the IGSN e.V. announced a partnership to support the global adoption, implementation, and use of physical sample identifiers. This partnership follows the recommendations of the IGSN 2040 Project, funded by the Alfred P. Sloan Foundation, whereby DataCite is providing the IGSN ID registration services and supporting technologies to ensure the ongoing sustainability of the IGSN PID infrastructure. The organizations are also working together to foster a ‘Community of Communities of Practice’ across research domains to scale sample community engagement, develop sample identifier practice standards, and increase adoption globally. This Community of Communities offers a space to promote adoption of FAIR and CARE principles for physical samples. A follow-on grant by the Sloan Foundation has enabled the recruitment of a Samples Community Manager and an Application Support Engineer to support the partnership. In close collaboration with the IGSN e.V., they have realized the following key steps of the transition process: Engagement. Coordination with IGSN Members to communicate the timeline of the transition process and ensure their support. Onboarding them, if required, as DataCite Members or Consortium Organizations, and introducing DataCite services. Technical Plans. Sharing of supporting technical documentation with IGSN Members, including an IGSN–DataCite metadata mapping and best practices. Transitioning. Launching DataCite DOI services for registering IGSN IDs to firstly IGSN Members, and then all DataCite Members. Aliasing. Re-registration of existing IGSN ID handles in DataCite DOI services and aliasing of handles to these DOIs to ensure continued resolution. The IGSN handle server is to be managed by DataCite in the long term. This posterupdatesthe community on the status of the IGSN–DataCite Partnership, focussing on both the transition process and the next steps of developing disciplinary Communities of Practice.

In October 2021, DataCite and the International Generic Sample Number (IGSN) e.V. announced a partnership to foster worldwide adoption, implementation, and utilization of persistent identifiers for material samples. Under this partnership, DataCite is ensuring the ongoing sustainability of the IGSN ID infrastructure, and is working with the IGSN e.V. to scale both IGSN IDs usage and sample community engagement and to develop sample identifier practice standards. The Partnership announced in September 2022 that DataCite DOI services were launched for registering IGSN IDs, and are now available to all DataCite Members and Consortium Organizations. The partners are also establishing disciplinary Communities of Practice to inform how the DataCite Metadata Schema can better support material samples. DataCite and IGSN e.V. invite you to a webinar, where we will showcase: - The history of the IGSN ID and the future plans of the IGSN e.V. - IGSN ID use cases and incorporation into samples workflows - An exemplar Community of Practice for archaeological samples - Recommendations & best practices for sample metadata, including a hands-on demonstration of descriptive metadata in DataCite services This webinar is aimed at anyone with an interest in the collection management of material samples in the broadest sense. It is timed for the APAC and EMEA regions, with a similar webinar planned for the Americas (and EMEA) in 2023. The webinar will be presented in English and will last 60 minutes, including time for Q&A. The slides and recording will be shared afterwards through the DataCite Zenodo Community and YouTube Channel, respectively. In hispresentation, Rorie Edmunds gives an overview of how IGSN IDs are integrated with DataCite Systems. A recording of the presentation can be found at:https://www.youtube.com/watch?v=Qcyj5qU-Bso&t=2669s

In October 2021, DataCite and the International Generic Sample Number (IGSN) e.V. announced a partnership to foster worldwide adoption, implementation, and utilization of persistent identifiers for material samples. Under this partnership, DataCite is ensuring the ongoing sustainability of the IGSN ID infrastructure, and is working with the IGSN e.V. to scale both IGSN IDs usage and sample community engagement and to develop sample identifier practice standards. The Partnership announced in September 2022 that DataCite DOI services were launched for registering IGSN IDs, and are now available to all DataCite Members and Consortium Organizations. The partners are also establishing disciplinary Communities of Practice to inform how the DataCite Metadata Schema can better support material samples. DataCite and IGSN e.V. invite you to a webinar, where we will showcase: - The history of the IGSN ID and the future plans of the IGSN e.V. - IGSN ID use cases and incorporation into samples workflows - An exemplar Community of Practice for archaeological samples - Recommendations & best practices for sample metadata, including a hands-on demonstration of descriptive metadata in DataCite services This webinar is aimed at anyone with an interest in the collection management of material samples in the broadest sense. It is timed for the APAC and EMEA regions, with a similar webinar planned for the Americas (and EMEA) in 2023. The webinar will be presented in English and will last 60 minutes, including time for Q&A. The slides and recording will be shared afterwards through the DataCite Zenodo Community and YouTube Channel, respectively. This presentation by Rorie Edmunds explains the partnership between IGSN and DataCite. A recording of the presentation can be found at:https://www.youtube.com/watch?v=Qcyj5qU-Bso&t=1967s

In October 2021, DataCite and the International Generic Sample Number (IGSN) e.V. announced a partnership to foster worldwide adoption, implementation, and utilization of persistent identifiers for material samples. Under this partnership, DataCite is ensuring the ongoing sustainability of the IGSN ID infrastructure, and is working with the IGSN e.V. to scale both IGSN IDs usage and sample community engagement and to develop sample identifier practice standards. The Partnership announced in September 2022 that DataCite DOI services were launched for registering IGSN IDs, and are now available to all DataCite Members and Consortium Organizations. The partners are also establishing disciplinary Communities of Practice to inform how the DataCite Metadata Schema can better support material samples. DataCite and IGSN e.V. invite you to a webinar, where we will showcase: - The history of the IGSN ID and the future plans of the IGSN e.V. - IGSN ID use cases and incorporation into samples workflows - An exemplar Community of Practice for archaeological samples - Recommendations & best practices for sample metadata, including a hands-on demonstration of descriptive metadata in DataCite services This webinar is aimed at anyone with an interest in the collection management of material samples in the broadest sense. It is timed for the APAC and EMEA regions, with a similar webinar planned for the Americas (and EMEA) in 2023. The webinar will be presented in English and will last 60 minutes, including time for Q&A. The slides and recording will be shared afterwards through the DataCite Zenodo Community and YouTube Channel, respectively. This presentation by Rorie Edmunds gives an introduction to IGSN IDs. A recording of the presentation can be found at:https://www.youtube.com/watch?v=Qcyj5qU-Bso &nbsp

Develop and use Open Science practices for your lab or research team. Improve your team’s data and software management practices. Codify these practices in your team’s Code of Open Science Practice. This guideline in: English, French, Japanese, Portuguese,Spanish[links to be added] Your Journey to Open Science in: English, French,Japanese, Portuguese,Spanish This work is part of theBuilding New Tools for Data Sharing and Re-use through a Transnational Investigation of the Socioeconomic Impacts of Protected Areas (PARSEC)project with fundingprovided by the Belmont Forum through the National Science Foundation, NSF, Grant1929464, (US), Agence Nationale de la Recherche,ANR (France), Fundação de Amparo à Pesquisa do Estado de São Paulo,FAPESP (Brazil), and Japan Science and Technology Agency,JST (Japan). Version 2 includes minor text updates adding clarification, updated links, and funder logos.&nbsp

The ability to distinguish physical samples uniquely and continuously through Persistent Identifier (PID) metadata is vital for: (a) interoperability among data systems, (b) integration of physical samples with their descriptions, and (c) enabling search and discovery. Originally developed as a PID system for Geoscience samples, and named the International Geo Samples Number, the core purpose of the IGSN ID is to connect research activities and objects in a fully transparent and traceable way. Application of the IGSN ID has since evolved to other scientific fields that rely on physical samples and collections, which is reflected in its recent renaming to the International *Generic* Sample Number. Since 2011, the IGSN ID service has been governed by the IGSN Implementation Organization (the IGSN e.V.), which supports the long-term global adoption of PIDs for physical samples, as well as associated practices and standards. In October 2021, the IGSN e.V. announced a partnership with DataCite, whereby DataCite is providing the IGSN ID registration services and supporting technology to ensure the ongoing sustainability of the IGSN ID infrastructure services. The IGSN e.V. and DataCite are fostering a ‘Community of Communities of Practice’ across research domains to support development and promotion of standardized methods for identifying, citing, and locating physical samples. This presentation provides an update on the IGSN–DataCite partnership, both the newly released DataCite service for registering IGSN IDs, as well as efforts to increase sample community engagement, develop sample identifier practice standards, and scale adoption of sample PIDs globally.

The PARSEC project (Building New Tools for Data Sharing and Re-use through a Transnational Investigation of the Socioeconomic Impacts of Protected Areas) has the twin goals of improving (a) research outcomes, data sharing, and data reuse, and (b) management and conservation of global biodiversity, by enabling a team of data scientists and a team of synthesis scientists to work together in real time. As part of the project aims, the Data Science Team was charged with developing both new practices and new tools to enhance data citation, attribution, credit, and reuse. DataCite, a global non-profit organization focused on connecting research through persistent identifiers, took on the task of developing two new services that show data citation and reuse: A Researcher Profile that enables researchers to discover the number of views, downloads, and citations of their openly published research datasets. A data metrics widget that can be implemented by both domain-specific and institutional repositories to show views, downloads, and citations of datasets. This presentation introduces the PARSEC project, showcases the two new services, and explains how research connections and reuse can be tracked in DataCite Commons.

DataCite Member Meeting 2022 DataCite Training Session (Advanced Track) IGSN IDs: Use & Registration DataCite Training September 2022

This landmark event brought together data scientists, researchers, industry leaders, entrepreneurs, policymakers, and data stewards from disciplines across the globe to explore how best to exploit the data revolution to improve science and society through data-driven discovery and innovation. IDW 2022 combined the 19th RDA Plenary Meeting, the biannual meeting of this international member organization working to develop and support global infrastructure facilitating data sharing and reuse, and SciDataCon 2022, the scientific conference addressing the frontiers of data in research organized by CODATA and WDS.; International audience; Profound changes in our world are exacerbating data availability challenges at the global level, in particular between scientists and other knowledge workers from regions separated by various features including historical, financial, cultural, political aspects, aside from time and space . Very few, if any, of our present problems such as biodiversity decline, climate change, and viral pandemics stop at national, disciplinary and linguistic boundaries, yet our most vital responses to the shared problems, the information generated to analyze and derive solutions, is still siloed in different languages and locations throughout the world. It is clear that in order for us to effectively respond, we need to collaborate globally and communicate information more effectively. Globalization of research requires interoperability of our observations and experimentation systems.The use of common FAIR vocabularies, that are both human and machine readable, is a key criterion in the FAIR principles (Principle I2 of Wilkinson et al 2016 specifies ‘(meta)data use vocabularies that follow FAIR principles’). Using common FAIR vocabularies will enable data interoperability and the necessary meta-analyses even when data have different origins and are based on multiple vocabularies. The objective of this poster is to offer an overview of the many multi-language challenges for effective Data Stewardship. For instance, some bottlenecks are highly dependent on community approval processes, because they are linked to data dictionary understandability, and/or related training challenges.The discrepancies between regions (cultural, data content, means and translation) are numerous and occur both at the global level and for end users. We must anticipate issues such as choosing a preferred language, polysemy (1 term, multiple meanings), confusion (multiple terms for 1 meaning or ‘false friends’ between 2 languages), plus existing and evolving nuances (not an exact match between languages and during time). Furthermore, terms are often adopted from another language with different contexts and disciplinary realms (that might decrease interoperability) and impedes translation of all versions at the same time. Specifically regarding translation, a key point is that it occurs at the concept level, not as a simple one-on-one translation of (consecutive) words. Care must be taken to ensure that translation to indigenous languages results in datasets that can be used by the affected communities as part of projects that practice co-creation and co-evolution of knowledge.Taking these challenges into account, we have to consider human efforts and the level of translation, e.g. a low or minimum yet sustainable level, that is legally allowable. How would these minimal objectives be linked with FAIR principle compliance? In several case studies, translation was voluntary. One of the sustainability challenges is how to keep interested groups involved, and the need for ongoing engagement. Finally, we bring up the need for expert translators, to maintain the quality level critical to achieve effective harmonization among languages.

This document, prepared by the Data Strand of the PARSEC project funded by the Belmont Forum,provides guidelines for researchers about the importance and benefits of data repositories, the risks if you choose the wrong repository for your data, suggestions for selection of the right, TRUSTed repository and where to find them.

We are delighted to announce the launch of IGSN ID registration using DataCite services. This is the culmination of almost one year of work after the signing of a partnership agreement between DataCite and the IGSN e. V. in October 2021. The ability to register material samples with IGSN IDs is now available to all DataCite Members and Consortium Organizations. Since new IGSN IDs are functionally DOIs, IGSN IDs can be easily registered using Fabrica, DataCite APIs, and other systems that integrate DataCite DOI registration. Moreover, we will support you throughout, assisting you directly as you set up your IGSN ID repository and mint your first IGSN IDs. We have also added specific IGSN ID documentation on our Support website, which contains information about using IGSN IDs in material samples workflows. Included are best practices for populating properties in the DataCite Metadata Schema and other recommendations.

Notre société est aujourd'hui confrontée à de profonds changements (biodiversité, climat, pandémie, etc.). Les impacts humains et leur atténuation dépendent de notre capacité à mobiliser la recherche au niveau mondial. Le développement durable de la société dépendra en grande partie du développement sur le long terme d’une science globale et d’outils de recherche scientifique, de leurs résultats et des écosystèmes de recherche partagés. Cette globalisation de la recherche nécessite d'inter-opérer nos systèmes d'observation et d'expérimentation pour mieux comprendre ces changements, pour mieux simuler leurs effets. La pandémie de Covid-19 fait désormais rage dans le monde. La reproductibilité de la recherche et des résultats à travers les régions dans des contextes différents devrait accélérer les réponses sociétales. Le partage des données et le développement de la recherche de synthèse avec agrégation de données à large échelle sont essentiels pour permettre de tels processus. L'utilisation partagée de connaissances formalisées, de vocabulaires,de normes et de procédures communes à grande échelle est nécessaire. Ce poster présente une méthodologie commune, un “livre de cuisine” de dictionnaire de données, qui propose une feuille de route pour construire des dictionnaires de données à grande échelle. L'objectif est de présenter les défis relevés lors de la construction de dictionnaires de données dans trois projets à l’échelle globale liés à la recherche sur la biodiversité et/ou les maladies infectieuses: PARSEC, Kakila, ERINHA-Advance. La version en anglais est ici:https://doi.org/10.5281/zenodo.4683066

Notre soci��t�� est aujourd'hui confront��e �� de profonds changements (biodiversit��, climat, pand��mie, etc.). Les impacts humains et leur att��nuation d��pendent de notre capacit�� �� mobiliser la recherche au niveau mondial. Le d��veloppement durable de la soci��t�� d��pendra en grande partie du d��veloppement sur le long terme d���une science globale et d���outils de recherche scientifique, de leurs r��sultats et des ��cosyst��mes de recherche partag��s. Cette globalisation de la recherche n��cessite d'inter-op��rer nos syst��mes d'observation et d'exp��rimentation pour mieux comprendre ces changements, pour mieux simuler leurs effets. La pand��mie de Covid-19 fait d��sormais rage dans le monde. La reproductibilit�� de la recherche et des r��sultats �� travers les r��gions dans des contextes diff��rents devrait acc��l��rer les r��ponses soci��tales. Le partage des donn��es et le d��veloppement de la recherche de synth��se avec agr��gation de donn��es �� large ��chelle sont essentiels pour permettre de tels processus. L'utilisation partag��e de connaissances formalis��es, de vocabulaires, de normes et de proc��dures communes �� grande ��chelle est n��cessaire. Ce poster pr��sente une m��thodologie commune, un ���livre de cuisine��� de dictionnaire de donn��es, qui propose une feuille de route pour construire des dictionnaires de donn��es �� grande ��chelle. L'objectif est de pr��senter les d��fis relev��s lors de la construction de dictionnaires de donn��es dans trois projets �� l�����chelle globale li��s �� la recherche sur la biodiversit�� et/ou les maladies infectieuses: PARSEC, Kakila, ERINHA-Advance. La version en anglais est ici: https://doi.org/10.5281/zenodo.4683066

PARSEC Data and Digital Output Management Plan and Workbook for the Belmont Forum Collaborative Research Action (CRA) Science-driven e-Infrastructure Innovation (SEI) for the Enhancement of Transnational, Interdisciplinary and Transdisciplinary Data Use in Environmental Change Project Building New Tools for Data Sharing and Reuse through a Transnational Investigation of the Socioeconomic Impacts of Protected Areas (PARSEC) This Data and Digital Output Management Plan and Workbook (DDOMP) are used by the PARSEC team to establish the policies the team will follow, document the operational procedures necessary to comply with those policies, and the planned activities necessary to manage PARSEC data, software, and other digital outputs. This is a working document. This document describes activities necessary during the PARSEC research lifecycle as well as those necessary to preserve all digital outputs for use into the future. It is the intent of the PARSEC team to make our digital outputs as open as possible, discoverable, accessible, well-documented to promote the broadest reuse. These elements are both recommended and required by the Belmont Forum Open Data Policy and Principles[1] and the FAIR Guiding Principles[2]. The Belmont Forum Open Data Policy and Principles state that: Datasets should be: Discoverable through catalogues and search engines Accessible as open data by default, and made available with minimum time delay Understandable in a way that allows researchers—including those outside the discipline of origin—to use them Manageable and protected from loss for future use in sustainable, trustworthy repositories The FAIR Guiding Principles state that data should be Findable, Accessible, Interoperable, and Reusable. [1] http://www.belmontforum.org/about/open-data-policy-and-principles/ [2] https://www.nature.com/articles/sdata201618. This work is part of the Building New Tools for Data Sharing and Re-use through a Transnational Investigation of the Socioeconomic Impacts of Protected Areas (PARSEC) project with funding provided by the Belmont Forum., {"references":["Stall, Shelley, Specht, Alison, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Edmunds, Rorie, Mabile, Laurence, … Murayama, Yasuhiro. (2021). PARSEC DDOMP Workbook Checklist. Zenodo. https://doi.org/10.5281/zenodo.4909851"]}

This poster was presented at the AGU Fall Meeting 2020 during the session: A Call to Action for FAIR, Reproducible, and Transparent Science: Analytical Code, Workflows, Services, Models, and Conclusions eLightning Link to iPoster Abstract: Earth, space, and environmental science researchers have to be proficient in the expertise of their discipline, as well as the technology of instrumentation, analysis tools, writing, creating visualizations and countless other skills necessary to further their careers. The very active movement of ensuring our scientific data and software are well managed and preserved require the further development of data (and software) stewardship techniques that were likely self-taught, or possibly learned from colleagues. Journals and funders now require that our scientific data (and software) be as open (as possible) and preserved in a manner that supports discovery, access, interoperability, and optimizes reuse. These characteristics embody the FAIR principles. Researchers typically are faced with complying with these new data (and software) preservation requirements at the time of publication. This tends to be out-of-synch with their research work and makes it difficult and time consuming to comply. Plus it can slow down the process of publication. In our work on the PARSEC project, funded by the Belmont Forum, we are leveraging the current research process and adding in the necessary stewardship tasks, when they are most optimal and least disruptive, to capture the necessary information, provenance, decision made about the data, workflows and software necessary to adequate preserve these research objects allowing for better transparency of the process, support integrity, and optimize reuse. In this talk we will share our approach and the tools for others to incorporate the technique. This work is part of the Building New Tools for Data Sharing and Re-use through a Transnational Investigation of the Socioeconomic Impacts of Protected Areas (PARSEC) project with funding provided by the Belmont Forum through the National Science Foundation, Grant 1929464., {"references":["Belmont Forum, Data and Digital Outputs Management Plan (DDOMP) Guide, https://bfe-inf.github.io/toolkit/ddomp.html","Clare, C., Cruz, M., Papadopoulou, E., Savage, J., Teperek, M., Wang, Y., Witkowska, I., & Yeomans, J. (2019) Engaging Researchers with Data Management: The Cookbook. Cambridge, UK: Open Book Publishers. https://doi.org/10.11647/OBP.0185","Cruz, M.J., Kurapati, S., Turkyilmaz-van der Velden, Y., 2018. The Role of Data Stewardship in Software Sustainability and Reproducibility, in: 2018 IEEE 14th International Conference on E-Science (e-Science). Presented at the 2018 IEEE 14th International Conference on e-Science (e-Science), IEEE, Amsterdam, pp. 1–8. https://doi.org/10.1109/eScience.2018.00009","David, R., Mabile, L., Specht, A., Stryeck, S., Thomsen, M., Yahia, M., Jonquet, C., Dollé, L., Jacob, D., Bailo, D., Bravo, E., Gachet, S., Gunderman, H., Hollebecq, J.-E., Ioannidis, V., Le Bras, Y., Lerigoleur, E., Cambon-Thomsen, A. and Alliance – SHAring Reward and Credit (SHARC) Interest Group, T.R.D. (2020) FAIRness Literacy: The Achilles' Heel of Applying FAIR Principles. Data Science Journal, 19(1), p.32. DOI: http://doi.org/10.5334/dsj-2020-032","Stall, S., Specht, A,, Corrêa, P.L.P., David, R., Edmunds, R., Mabile, L., Machicao J., O'Brien M., & Wyborn, L. (2020). PARSEC Data and Digital Output Management Plan and Workbook. Zenodo. 10.5281/zenodo.3891426","Stall, S., & Specht, A. (2020, July). Data and Digital Output Management Plan (DDOMP), JpGU M-GI36 Open Science in Progress. Presented at the Japan Geoscience Union (JpGU), Chiba, Japan held virtually: Zenodo. http://doi.org/10.5281/zenodo.3942688","Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016). https://doi.org/10.1038/sdata.2016.18"]}

In the PARSEC project, our team of data science experts are partnering with our multi-country synthesis science research team to build relevant tools and processes for better data and software management that integrate into the research lifecycle and are to be shared with the wider research community. This poster articulates the technology challenges prompted by the many aspects of team diversity and physical location as well as the cultural challenges where we seek better understanding and embrace the value of different team dynamics, methods of communication, and preference to research approach., This poster was presented at the Research Data Alliance Plenary 16 in Costa Rica

PARSEC Data and Digital Output Management Plan and Workbook for the Belmont Forum Collaborative Research Action (CRA) Science-driven e-Infrastructure Innovation (SEI) for the Enhancement of Transnational, Interdisciplinary and Transdisciplinary Data Use in Environmental Change Project Building New Tools for Data Sharing and Reuse through a Transnational Investigation of the Socioeconomic Impacts of Protected Areas (PARSEC) This Data and Digital Output Management Plan and Workbook (DDOMP) are used by the PARSEC team to establish the policies the team will follow, document the operational procedures necessary to comply with those policies, and the planned activities necessary to manage PARSEC data, software, and other digital outputs.This is a working document. This document describes activities necessary during the PARSEC research lifecycle as well as those necessary to preserve all digital outputs for use into the future. It is the intent of the PARSEC team to make our digital outputs as open as possible, discoverable, accessible, well-documented to promote the broadest reuse. These elements are both recommended and required by theBelmont Forum Open Data Policy and Principles[1]and theFAIR Guiding Principles[2]. The Belmont Forum Open Data Policy and Principles state that: Datasets should be: Discoverable through catalogues and search engines Accessible as open data by default, and made available with minimum time delay Understandable in a way that allows researchers—including those outside the discipline of origin—to use them Manageable and protected from loss for future use in sustainable, trustworthy repositories The FAIR Guiding Principles state that data should be Findable, Accessible, Interoperable, and Reusable. [1]http://www.belmontforum.org/about/open-data-policy-and-principles/ [2]https://www.nature.com/articles/sdata201618.

Da Informations- und Kommunikationstechnologien in unserer Gesellschaft allgegenwär­tig geworden sind, sind wir zunehmend sowohl von digitalen Daten abhängig als auch auf Repositorien angewiesen, die den Zugang zu diesen Ressourcen und ihre Nutzung ermög­lichen. Repositorien müssen sich das Vertrauen der Communitys, denen sie dienen sollen, verdienen und unter Beweis stellen, dass sie zuverlässig und in der Lage sind, die in ihnen vorgehaltenen Daten adäquat zu verwalten. Nach einer jahrelangen öffentlichen Debatte und auf der Basis eines bestehenden Konsenses der Community haben mehrere Stakeholder, die verschiedene Bereiche der Gemeinschaft digitaler Reposi­torien repräsentieren, gemeinsam eine Reihe von Leitprinzipien für den Nachweis der Vertrauens­würdigkeit („Trustworthiness”) digitaler Repositorien aufgestellt und gebilligt. Transparency (Transparenz), Responsibility (Verantwortung), User focus (Nutzerfokussierung), Sustainability (Nachhaltig­keit) und Technology (Technologie): die TRUST-Prinzipien bieten einen gemeinsamen Rahmen, der die Erör­terung und Umsetzung von Best Practices in der digitalen Bestandserhaltung durch alle Stakeholder fördern soll. Die vorliegende deutsche Übersetzung des Dokuments entstand im Rahmen des Verbundprojektes EcoDM mit der Förderung des Bundesministeriums für Bildung und Forschung (BMBF) unter dem Förderkennzeichen 16DWWQP.

Con la adopción cada vez más generalizada de las TICs en nuestra sociedad, dependemos cada vez más de los datos digitales y de los repositorios que brindan acceso a ese tipo de recursos y nos permiten utilizarlos. Los repositorios deben ganarse la confianza de las comunidades a las que pretenden brindar servicios y demostrar que son confiables y capaces de administrar adecuadamente los datos que contienen. Tras un debate público que se prolongó durante un año y en función del consenso actual de la comunidad, varias partes interesadas, que representan diversos segmentos de la comunidad de los repositorios digitales, han colaborado para desarrollar y avalar un conjunto de principios rectores, para demostrar que el repositorio digital es confiable. Estos principios abarcan la Transparencia, la Responsabilidad, el Foco en el Usuario, la Sostenibilidad y la Tecnología, y presentan un marco común para facilitar el debate y la implementación de las mejores prácticas en cuanto a preservación digital en beneficio de todas las partes interesadas., Este artículo es una traducción de: Lin, D., Crabtree, J., Dillo, I., Downs, R. R., Edmunds, R., Giaretta, D., De Giusti, M., L’Hours, H., Hugo, W., Jenkyns, R., Khodiyar, V., Martone, M. E., Mokrane, M., Navale, V., Petters, J., Sierman, B., Sokolova, D. V., Stockhause, M., & Westbrook, J. (2020). The TRUST Principles for digital repositories. Scientific Data, 7(1), 144. https://doi.org/10.1038/s41597-020-0486-7, Servicio de Difusión de la Creación Intelectual

The Data Distribution Centre (DDC) of the Intergovernmental Panel on Climate Change (IPCC) was established in 1997 to facilitate the timely distribution of a consistent set of up-to-date scenarios of changes in climate and related environmental and socio-economic factors for use in climate impacts assessments, particularly to support the periodic IPCC Assessment Reports. This work could be seen as helping to bridge the gap between intercomparison of models which is conducted within CMIP (Coupled Model Intercomparison Project) and the broader problem of assessing climate change. This presentation will explore two key aspects of this work: firstly, supporting the exchange of data between the physical climate, climate impacts and socio-economic science domains and, secondly, ensuring that data used in assessments, which may be from dynamic research projects, is reliably curated to ensure long term access and proper tracking of data usage. These activities play a critical role in enabling robust assessments by an extended community effort while maintaining transparent data provenance. Our work is underpinned by engagement with the World Data System.

Data created and used by scientists should be managed, curated, and archived in trustworthy data repositories to enable their reuse and ensure the integrity of science. The trustworthiness and sustainability of a data repository raise important organizational, technical, financial, and legal challenges, and depend on the quality and transparency of their data management processes, the use of established standards, their efforts for long-term preservation, and how suitable their services are for their designated community. Repository certification—such as the CoreTrustSeal Certification—gives an independent and objective evaluation of a repository’s reliability and durability, and helps researchers, funders, librarians, and publishers ascertain which repositories to use. This talk will focus on the core certification of data repositories by the CoreTrustSeal and on membership within the World Data System of the International Science Council, presenting the experiences of the Australian Data Archive as a use case. The talk will also touch briefly on the future of core certification of other entities within the scientific research process.

International workshop on sharing, citation and publication of scientific data across disciplines: Session 7b: Toward Inter-Disciplinary Data Sharing & PublicationThu. 7 Dec./Multi-Purpose Meeting Room (2F, NINJAL)