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5. Managing linguistic obstacles in multidisciplinary, multinational, and multilingual research projects.

Author

Specht, Alison, Stall, Shelley, Machicao, Jeaneth, Catry, Thibault, Chaumont, Marc, David, Romain, Devillers, Rodolphe, Edmunds, Rorie, Jarry, Robin, Mabile, Laurence, Miyairi, Nobuko, O'Brien, Margaret, Correa, Pedro Pizzigatti, Santos, Solange, Subsol, Gérard, and Wyborn, Lesley

Abstract

Environmental challenges are rarely confined to national, disciplinary, or linguistic domains. Convergent solutions require international collaboration and equitable access to new technologies and practices. The ability of international, multidisciplinary and multilingual research teams to work effectively can be challenging. A major impediment to innovation in diverse teams often stems from different understandings of the terminology used. These can vary greatly according to the cultural and disciplinary backgrounds of the team members. In this paper we take an empirical approach to examine sources of terminological confusion and their effect in a technically innovative, multidisciplinary, multinational, and multilingual research project, adhering to Open Science principles. We use guided reflection of participant experience in two contrasting teams—one applying Deep Learning (Artificial Intelligence) techniques, the other developing guidance for Open Science practices—to identify and classify the terminological obstacles encountered and reflect on their impact. Several types of terminological incongruities were identified, including fuzziness in language, disciplinary differences and multiple terms for a single meaning. A novel or technical term did not always exist in all domains, or if known, was not fully understood or adopted. Practical matters of international data collection and comparison included an unanticipated need to incorporate different types of data labels from country to country, authority to authority. Sometimes these incongruities could be solved quickly, sometimes they stopped the workflow. Active collaboration and mutual trust across the team enhanced workflows, as incompatibilities were resolved more speedily than otherwise. Based on the research experience described in this paper, we make six recommendations accompanied by suggestions for their implementation to improve the success of similar multinational, multilingual and multidisciplinary projects. These recommendations are conceptual drawing on a singular experience and remain to be sources for discussion and testing by others embarking on their research journey. [ABSTRACT FROM AUTHOR]

Published
2024
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7. Attitudes and norms affecting scientists data reuse.

Author

Curty, Renata, Crowston, Kevin, Specht, Alison, Grant, Bruce, and Dalton, Elizabeth

Subjects
Attitude, Humans, Information Dissemination, Models, Psychological, Science, Workforce
Abstract

The value of sharing scientific research data is widely appreciated, but factors that hinder or prompt the reuse of data remain poorly understood. Using the Theory of Reasoned Action, we test the relationship between the beliefs and attitudes of scientists towards data reuse, and their self-reported data reuse behaviour. To do so, we used existing responses to selected questions from a worldwide survey of scientists developed and administered by the DataONE Usability and Assessment Working Group (thus practicing data reuse ourselves). Results show that the perceived efficacy and efficiency of data reuse are strong predictors of reuse behaviour, and that the perceived importance of data reuse corresponds to greater reuse. Expressed lack of trust in existing data and perceived norms against data reuse were not found to be major impediments for reuse contrary to our expectations. We found that reported use of models and remotely-sensed data was associated with greater reuse. The results suggest that data reuse would be encouraged and normalized by demonstration of its value. We offer some theoretical and practical suggestions that could help to legitimize investment and policies in favor of data sharing.

Published
2017

9. Reviews and syntheses: Australian vegetation phenology: new insights from satellite remote sensing and digital repeat photography

Author

Moore, Caitlin E, Brown, Tim, Keenan, Trevor F, Duursma, Remko A, van Dijk, Albert IJM, Beringer, Jason, Culvenor, Darius, Evans, Bradley, Huete, Alfredo, Hutley, Lindsay B, Maier, Stefan, Restrepo-Coupe, Natalia, Sonnentag, Oliver, Specht, Alison, Taylor, Jeffrey R, van Gorsel, Eva, and Liddell, Michael J

Subjects
Climate Change Impacts and Adaptation, Environmental Sciences, Earth Sciences, Biological Sciences, Meteorology & Atmospheric Sciences, Ecology, Physical geography and environmental geoscience, Environmental management
Abstract

Phenology is the study of periodic biological occurrences and can provide important insights into the influence of climatic variability and change on ecosystems. Understanding Australia's vegetation phenology is a challenge due to its diverse range of ecosystems, from savannas and tropical rainforests to temperate eucalypt woodlands, semiarid scrublands, and alpine grasslands. These ecosystems exhibit marked differences in seasonal patterns of canopy development and plant life-cycle events, much of which deviates from the predictable seasonal phenological pulse of temperate deciduous and boreal biomes. Many Australian ecosystems are subject to irregular events (i.e. drought, flooding, cyclones, and fire) that can alter ecosystem composition, structure, and functioning just as much as seasonal change. We show how satellite remote sensing and ground-based digital repeat photography (i.e. phenocams) can be used to improve understanding of phenology in Australian ecosystems. First, we examine temporal variation in phenology on the continental scale using the enhanced vegetation index (EVI), calculated from MODerate resolution Imaging Spectroradiometer (MODIS) data. Spatial gradients are revealed, ranging from regions with pronounced seasonality in canopy development (i.e. tropical savannas) to regions where seasonal variation is minimal (i.e. tropical rainforests) or high but irregular (i.e. arid ecosystems). Next, we use time series colour information extracted from phenocam imagery to illustrate a range of phenological signals in four contrasting Australian ecosystems. These include greening and senescing events in tropical savannas and temperate eucalypt understorey, as well as strong seasonal dynamics of individual trees in a seemingly static evergreen rainforest. We also demonstrate how phenology links with ecosystem gross primary productivity (from eddy covariance) and discuss why these processes are linked in some ecosystems but not others. We conclude that phenocams have the potential to greatly improve the current understanding of Australian ecosystems. To facilitate the sharing of this information, we have formed the Australian Phenocam Network (http://phenocam.org.au/).

Published
2016

15. Synthesis Centers as Critical Research Infrastructure

Author

BARON, JILL S., SPECHT, ALISON, GARNIER, ERIC, BISHOP, PAMELA, CAMPBELL, C. ANDREW, DAVIS, FRANK W., FADY, BRUNO, FIELD, DAWN, GROSS, LOUIS J., GURU, SIDDESWARA M., HALPERN, BENJAMIN S., HAMPTON, STEPHANIE E., LEAVITT, PETER R., MEAGHER, THOMAS R., OMETTO, JEAN, PARKER, JOHN N., PRICE, RICHARD, RAWSON, CASEY H., RODRIGO, ALLEN, SHEBLE, LAURA A., and WINTER, MARTEN

Published
2017

17. Data Management Plan Yoga: Learning techniques and developing your practice

Author

Stall, Shelley and Specht, Alison

Subjects
DDOMP, Data Management Plan, DMP, Data and Digital Output Management Plan
Abstract

This workshop was given during SRI Congress 2023. https://sricongress.org/ Data Management Plan Yoga: learning techniques and developing your practice Like yoga, developing and using a Data Management Plan (also known as a Data and Digital Output Management Plan) should become an integral part of your daily practice. Commonly a Data Management Plan (DMP or DDOMP) only includes the requirements of the funder which are focused on final products and long-term preservation. What is left out are the steps necessary to plan and manage your digital objects (e.g., datasets, software, images) throughout your research process. Research is a dynamic process and the DMP needs to be flexible over time. In this workshop we will discuss the elements to include in a DMP, and the leading practices on how to determine the best approach for your team. At the end of the session, you will have a DMP template, how to complete your own DMP, and how to help your team meet the expectations set in the DDOMP. The session agenda: Welcome and Introduction Overview of a Data Management Plan, with Q&A Detailed review of how to approach each DMP element with interactive discussion Break Operationalizing the DMP with your Team Exercise: Setting up tools to help your Team Wrap up Your instructors are Belmont Forum awardees who developed a proven method for all researchers to meet the demanding requirements established for the DDOMP, or any funder DMP. Robust data and software management supports FAIR and Open Science., This presentation is a contribution from the PARSEC team. PARSEC is a project sponsored by the Belmont Forum as part of its Collaborative Research Action (CRA) on Science-Driven e-Infrastructures Innovation (SEI), with funding from FAPESP, the ANR, JST and the NSF, with collaborators from Australia, and support from the synthesis centre CESAB of the French Foundation for Research on Biodiversity.

Published
2023
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18. Practices of collaboration, data, and software of research in the community

Author

Murayama, Yasuhiro, Specht, Alison, Kondo, Yasuhisa, Stall, Shelley, Miyairi, Nobuko, and Hayashi, Kazuhiro

Subjects
code reuse, code publication, data sharing, open science, data publication, code sharing, multi-national, data reuse
Abstract

The PARSEC team, organised by Yasuhiro Murayama, contributed a session to the Japanese Open Science Summit, 2023, in which common challenges were discussed for effective and creditable sharing, publication, and re-use of data and code with the community and to catalyse pathways to their solution. This session is part of the Belmont Forum-funded project, PARSEC, which has been extended by one year (to 2024). The PARSEC team from five geographically-dispersed countries has collaborated for the last four years on the collation and harmonisation of data and the development of new methods for sharing data and code as we investigate the socio-economic effects of nature conservation initiatives. The session language will be English in principle. The speakers were: Alison Specht (The University of Queensland) Yasuhisa Kondo (Research Institute for Humanity and Nature) Shelley Stall(American Geophysical Union) Nobuko Miyairi (National Institute of Information and Communications Technology) * Kazuhiro Hayashi (National Institute of Science and Technology Policy) Yasuhiro Murayama (National Institute of Information and Communications Technology) * this presentation is in this associated document: Miyairi, Nobuko. (2023, June 20). RDA national PID strategies WG: final outputs and the way forward. Zenodo. https://doi.org/10.5281/zenodo.8058059, This presentation is a contribution from the PARSEC team. PARSEC is a project sponsored by the Belmont Forum as part of its Collaborative Research Action (CRA) on Science-Driven e-Infrastructures Innovation (SEI), with funding from FAPESP, the ANR, JST and the NSF, with collaborators from Australia, and support from the synthesis centre CESAB of the French Foundation for Research on Biodiversity.

Published
2023
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19. Open Science Resources and Guidance for Teams

Author

Stall, Shelley, Specht, Alison, O'Brien, Margaret, Machicao, Jeaneth, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Edmunds, Rorie, Miyairi, Nobuko, Murayama, Yasuhiro, Santos, Solange, Wyborn, Lesley, Vellenich, Danton Ferreira, Vrouwenvelder, Kristina, and Mabile, Laurence

Subjects
Milestones, Recognition, Open Science, Credit, Experience Feedback, Common Resources, Preservation
Abstract

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

Published
2023
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20. Digital Objects Preservation Checklist For Teams

Author

Stall, Shelley, Specht, Alison, O'Brien, Margaret, Machicao, Jeaneth, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Edmunds, Rorie, Miyairi, Nobuko, Murayama, Yasuhiro, Santos, Solange, Wyborn, Lesley, Vellenich, Danton Ferreira, Vrouwenvelder, Kristina, and Mabile, Laurence

Subjects
Open Science, Software Management Plan, DDOMP, Data Management Plan, Preservation Criteria, DMP, Preservation Planning, Long-term Access, Preservation, Data and Digital Output Management Plan
Abstract

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

Published
2023
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21. Prepare a su Equipo para la Ciencia Abierta –Recursos y guías del equipo

Author

Machicao, Jeaneth, Santos, Solange, Stall, Shelley, Specht, Alison, O'Brien, Margaret, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Edmunds, Rorie, Miyairi, Nobuko, Murayama, Yasuhiro, Vellenich, Danton Ferreira, Vrouwenvelder, Kristina, Wyborn, Lesley, and Mabile, Laurence

Subjects
Milestones, Credit, Ciencia Abierta, Common Resources, Feedback, Crédito, Reconocimiento, Recognition, Preservación, Open Science, Preservation Experience, Retroalimentación, Hitos, Recursos comunes
Abstract

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).

Published
2023
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22. Lista de verificación para la preservación de objetos digitales del equipo

Author

Machicao, Jeaneth, Santos, Solange, Stall, Shelley, Specht, Alison, O'Brien, Margaret, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Edmunds, Rorie, Miyairi, Nobuko, Murayama, Yasuhiro, Vellenich, Danton Ferreira, Vrouwenvelder, Kristina, Wyborn, Lesley, and Mabile, Laurence

Subjects
Ciencia Abierta, Plan de Gestión de Datos, DDOMP, Preservation Planning, Preservation, Plan de gestión de software, Preservación, Open Science, Software Management Plan, Criterios de preservación, Data Management Plan, Acceso a largo plazo, DMP, Long-term Access, Plan de Gestión de Datos y Salida Digital, Planificación de la preservación, Data and Digital Output Management Plan
Abstract

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).

Published
2023
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23. Práticas de Ciência Aberta para equipes de pesquisa/projeto

Author

Santos, Solange, Stall, Shelley, Specht, Alison, O'Brien, Margaret, Machicao, Jeaneth, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Edmunds, Rorie, Miyairi, Nobuko, Murayama, Yasuhiro, Oliveira, Marina Chagas, Vellenich, Danton Ferreira, Vrouwenvelder, Kristina, Wyborn, Lesley, and Mabile, Laurence

Subjects
Ciência Aberta, Open Science, Confiável, Responsibility, Communication, Sharing, Trust, Transparency, Compartilhamento, Transparência, Comunicação
Abstract

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).

Published
2023
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24. Recursos e diretrizes para laboratórios/equipes

Author

Santos, Solange, Stall, Shelley, Specht, Alison, O'Brien, Margaret, Machicao, Jeaneth, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Edmunds, Rorie, Miyairi, Nobuko, Murayama, Yasuhiro, Oliveira, Marina Chagas, Vellenich, Danton Ferreira, Vrouwenvelder, Kristina, Wyborn, Lesley, and Mabile, Laurence

Subjects
Milestones, Ciência Aberta, Recursos comuns, Credit, Reconhecimento, Common Resources, Feedback, Crédito, Recognition, Open Science, Preservation Experience, Feedback da experiência, Preservação, Marcos
Abstract

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).

Published
2023
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25. Checklist para Preservação de Objetos Digitais da Equipe

Author

Santos, Solange, Stall, Shelley, Specht, Alison, O'Brien, Margaret, Machicao, Jeaneth, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Edmunds, Rorie, Miyairi, Nobuko, Murayama, Yasuhiro, Oliveira, Marina Chagas, Vellenich, Danton Ferreira, Vrouwenvelder, Kristina, Wyborn, Lesley, and Mabile, Laurence

Subjects
Ciência Aberta, DDOMP, Acesso de longo prazo, Preservation Planning, Plano de Gestão de Dados e Produtos Digitais, Preservation, Plano de preservação, Open Science, Software Management Plan, Preservação, Data Management Plan, Plano de gerenciamento de software, Preservation Criteria, Critério de preservação, DMP, Plano de Gestão de Dados, Long-term Access, Data and Digital Output Management Plan
Abstract

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).

Published
2023
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26. Check-liste « Préparez votre équipe à la Science Ouverte »

Author

David, Romain, Stall, Shelley, Specht, Alison, O'Brien, Margaret, Machicao, Jeaneth, Corrêa, Pedro Luiz Pizzigatti, Edmunds, Rorie, Miyairi, Nobuko, Murayama, Yasuhiro, Santos, Solange, Vellenich, Danton Ferreira, Vrouwenvelder, Kristina, Wyborn, Lesley, and Mabile, Laurence

Subjects
Transparence, Open Science, Responsibility, Partage, Communication, Science Ouverte, Sharing, Confiance, Trust, Transparency, Responsabilité
Abstract

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).

Published
2023
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27. Check-liste « Développez des pratiques de sauvegarde dans l'équipe »

Author

David, Romain, Stall, Shelley, Specht, Alison, O'Brien, Margaret, Machicao, Jeaneth, Corrêa, Pedro Luiz Pizzigatti, Edmunds, Rorie, Miyairi, Nobuko, Murayama, Yasuhiro, Santos, Solange, Vellenich, Danton Ferreira, Vrouwenvelder, Kristina, Wyborn, Lesley, and Mabile, Laurence

Subjects
PGD, DDOMP, Critères de sauvegarde, Archivage, Accès à long terme, Preservation Planning, Plan de gestion des données, Planification de l'archivage, Preservation, Open Science, Software Management Plan, Science Ouverte, Data Management Plan, Preservation Criteria, DMP, Planification des sauvegardes, Long-term Access, Data and Digital Output Management Plan
Abstract

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).

Published
2023
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28. ソフトウェア共有のために: ソフトウェアのドキュメンテーションと引用のチェックリスト

Author

Miyairi, Nobuko, Murayama, Yasuhiro, Stall, Shelley, Specht, Alison, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Machicao, Jeaneth, O'Brien, Margaret, Santos, Solange, Vellenich, Danton Ferreira, Wyborn, Lesley, and Mabile, Laurence

Subjects
Software Documentation, Software Citation, Software Management, ソフトウェア引用
Abstract

あなたのソフトウェアをきちんと計画し、管理、共有しましょう。このチェックリストを活用して、ソフトウェアの管理と共有の方法を改善しましょう。 この研究は、「自然保護区が社会経済に及ぼす影響の多国融合研究を通じた新たなデータ共有・再利用手法の構築(PARSEC)」プロジェクトの一部であり、ベルモント・フォーラムより、全米科学財団(NSF、Grant 1929464)、フランス国立研究機構(ANR)、ブラジルサンパウロ州研究財団(FAPESP)、日本科学技術振興機構(JST)を通じた資金提供を受けています。 The Japanese characters on the attached PDFare not displaying in the Zenodopreview window correctly. Please download the PDF to view the checklist. Zenodo上で日本語フォントが表示されない場合がありますが、ダウンロードしたPDFでは正常に表示されます。

Published
2023
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29. 研究データ共有のために: データのドキュメンテーションと引用のチェックリスト

Author

Miyairi, Nobuko, Murayama, Yasuhiro, Stall, Shelley, Specht, Alison, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Machicao, Jeaneth, O'Brien, Margaret, Santos, Solange, Vellenich, Danton Ferreira, Wyborn, Lesley, and Mabile, Laurence

Subjects
Data Sharing, データ引用, Data Citation
Abstract

研究データを計画し、管理し、共有しましょう。このチェックリストを活用して、データ管理と共有方法を改善しましょう。 この研究は、「自然保護区が社会経済に及ぼす影響の多国融合研究を通じた新たなデータ共有・再利用手法の構築(PARSEC)」プロジェクトの一部であり、ベルモント・フォーラムより、全米科学財団(NSF、Grant 1929464)、フランス国立研究機構(ANR)、ブラジルサンパウロ州研究財団(FAPESP)、日本科学技術振興機構(JST)を通じた資金提供を受けています。 Important Note: The Japanese characters on the attached PDFare not displaying in the Zenodopreview window correctly. Please download the PDF to view the checklist. Zenodo上で日本語フォントが表示されない場合がありますが、ダウンロードしたPDFでは正常に表示されます。

Published
2023
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30. 研究の認知度向上のために: 研究者の「デジタルプレゼンス」チェックリスト

Author

Miyairi, Nobuko, Murayama, Yasuhiro, Stall, Shelley, Specht, Alison, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Machicao, Jeaneth, O'Brien, Margaret, Santos, Solange, Vellenich, Danton Ferreira, Wyborn, Lesley, and Mabile, Laurence

Subjects
Digital Presence, デジタルプレゼンス, データ引用, Software Citation, ソフトウェア引用, ORCID, Data Citation
Abstract

このチェックリストを活用して、あなたの研究をデータやソフトウェア、機関などに関連付けていけば、あなたの「デジタルプレゼンス」はより高まり、将来の共同研究者やパートナーとなるかもしれない人々への認知度が向上します。また、あなたの研究が利用された場合には学術貢献としての評価にもつながります。 この研究は、「自然保護区が社会経済に及ぼす影響の多国融合研究を通じた新たなデータ共有・再利用手法の構築(PARSEC)」プロジェクトの一部であり、ベルモント・フォーラムより、全米科学財団(NSF、Grant 1929464)、フランス国立研究機構 (ANR)、ブラジル サンパウロ州研究財団(FAPESP)、日本科学技術振興機構(JST)を通じた資金提供を受けています。 Important Note: The Japanese characters on the attached PDFare not displaying in the Zenodopreview window correctly. Please download the PDF to view the checklist. Zenodo上で日本語フォントが表示されない場合がありますが、ダウンロードしたPDFでは正常に表示されます。 Version 2: There were no changes to the text. The PDF was recreated in order to resolve the issue with the preview window not displaying most of the Japanese characters.

Published
2023
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31. The PARSEC Project: 2019-2023/4

Author

Specht, Alison, Stall, Shelley, Mabile, Laurence, Correa, Pedro, Machicao, Jeaneth, Ben Abbes, Ali, O'Brien, Margaret, Hayashi, Kazuhiro, David, Romain, Edmunds, Rorie, Murayama, Yasuhiro, and Wyborn, Lesley

Subjects
synthesis science, international, researchers, data management, data scientists, guidelines, environmental science, cross-domain, checklists
Abstract

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

Published
2023
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32. Code Sharing for Reuse and Reproducibility

Author

Specht, Alison, Machicao, Jeaneth, Ben Abbes, Ali, and Correa, Pedro

Subjects
remote sensing, open science, replicability, deep learning, experiments, reproducibiity
Abstract

This presentation is the PARSEC-based contribution to a Birds of a Feather session at RDA P20 in March 2023. This session aimed to: discuss research software visibility highlight to the audience existing mechanisms to make code visible, and collect community input about other mechanisms and future coordinated actions. Our presentation focussed on the challenges related to achieving reproducibility and replicability of Deep Learning (DL) experiments, drawing on the developed protocol for checking the veracity of a DL paper published by Machicao et al. (2022) doi:10.1029/2022EA002379, 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), + synthesis centre CESAB of the French Foundation for Research on Biodiversity. The link to the session page is here: https://www.rd-alliance.org/coordinating-mechanisms-making-code-visible

Published
2023
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33. Check-liste pour la Documentation et la Citation des Données

Author

David, Romain, Santos, Solange, Stall, Shelley, Specht, Alison, Corrêa, Pedro Luiz Pizzigatti, Machicao, Jeaneth, Miyairi, Nobuko, Murayama, Yasuhiro, O'Brien, Margaret, Wyborn, Lesley, Vellenich, Danton Ferreira, and Mabile, Laurence

Subjects
Citation des Logiciels, Citation des Données, Digital Presence, Software Citation, Présence Numérique, ORCID, Data Citation
Abstract

Planifiez, gérez et partagez vos données. Utilisez cette check-liste pour améliorer vos pratiques de gestion et de partage des données. 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).

Published
2023
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34. Check-liste Présence Numérique

Author

David, Romain, Santos, Solange, Stall, Shelley, Specht, Alison, Corrêa, Pedro Luiz Pizzigatti, Machicao, Jeaneth, Miyairi, Nobuko, Murayama, Yasuhiro, O'Brien, Margaret, Wyborn, Lesley, Vellenich, Danton Ferreira, and Mabile, Laurence

Subjects
Citation des Logiciels, Citation des Données, Digital Presence, Software Citation, Présence Numérique, ORCID, Data Citation
Abstract

Connectez votre recherche à vos données, logiciels, institutions et plus encore. Utilisez cette check-liste pour optimiser votre présence numérique, accroître la découverte de votre travail par des collaborateur.rices et partenaires potentiels, et être reconnu.e comme auteur.e lorsque d'autres utilisent votre travail. Ce travail a été réalisé dans le cadre du projet PARSEC (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).

Published
2023
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35. Checklist de Presença Digital

Author

Santos, Solange, Stall, Shelley, Specht, Alison, Amato, Jennifer Gonçalves, Corrêa, Pedro Luiz Pizzigatti, Curivil, Francine Aparecida Lante, David, Romain, Machicao, Jeaneth, Miyairi, Nobuko, Murayama, Yasuhiro, O'Brien, Margaret, Wyborn, Lesley, Vellenich, Danton Ferreira, and Mabile, Laurence

Subjects
Citação de Dados, Digital Presence, Presença Digital, Software Citation, Citação de Software, ORCID, Data Citation
Abstract

Conecte sua pesquisa aos seus dados, software, instituição e mais.Use este checklist para otimizar sua presença digital, melhorara descoberta do seu trabalho por potenciais colaboradores e parceiros para receber crédito quando outros usarem seu trabalho. 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).

Published
2023
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36. Checklist de Documentação e Citação de Dados

Author

Santos, Solange, Stall, Shelley, Specht, Alison, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Machicao, Jeaneth, Miyairi, Nobuko, Murayama, Yasuhiro, O'Brien, Margaret, Wyborn, Lesley, Vellenich, Danton Ferreira, and Mabile, Laurence

Subjects
Citação de Dados, Digital Presence, Presença Digital, Software Citation, Citação de Software, ORCID, Data Citation
Abstract

Planeje, gerencie e compartilhe seus dados.Use este checklist para otimizar sua gestão de dados e práticas de compartilhamento. 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).

Published
2023
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37. Lista de verificación de citas y documentación de software

Author

Santos, Solange, Stall, Shelley, Specht, Alison, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Machicao, Jeaneth, Miyairi, Nobuko, Murayama, Yasuhiro, O'Brien, Margaret, Wyborn, Lesley, Vellenich, Danton Ferreira, and Mabile, Laurence

Subjects
citación de sistemas, Digital Presence, citación de datos, Software Citation, citación de software, presencia digital, ORCID, Data Citation
Abstract

Planifique, administre y comparta su software. Utilice esta lista de verificación para optimizar sus prácticas de administración y uso compartido de software. 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).

Published
2023
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38. Lista de verificación de presencia digital

Author

Santos, Solange, Stall, Shelley, Specht, Alison, Amato, Jennifer Gonçalves, Corrêa, Pedro Luiz Pizzigatti, Curivil, Francine Aparecida Lante, David, Romain, Machicao, Jeaneth, Miyairi, Nobuko, Murayama, Yasuhiro, O'Brien, Margaret, Wyborn, Lesley, Vellenich, Danton Ferreira, and Mabile, Laurence

Subjects
citación de sistemas, Digital Presence, citación de datos, Software Citation, citación de software, presencia digital, ORCID, Data Citation
Abstract

Conecte su investigación a sus datos, software, institución y más.Use esta lista de verificación para optimizar su presencia digital, aumentar la visibilidad de su trabajo para posibles colaboradores y socios, y para recibir crédito cuando otros usen su trabajo. Este trabajo es parte del proyecto Creación 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).

Published
2023
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39. Checklist de Documentação e Citação de Software

Author

Santos, Solange, Stall, Shelley, Specht, Alison, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Machicao, Jeaneth, Miyairi, Nobuko, Murayama, Yasuhiro, O'Brien, Margaret, Wyborn, Lesley, Vellenich, Danton Ferreira, and Mabile, Laurence

Subjects
Citação de Dados, Digital Presence, Presença Digital, Software Citation, Citação de Software, ORCID, Data Citation
Abstract

Planeje, gerencie e compartilhe seu software. Use este checklist para otimizar a gestão de seu software e práticas de compartilhamento. 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).

Published
2023
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40. Lista de verificación de citas de datos y documentación

Author

Santos, Solange, Stall, Shelley, Specht, Alison, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Machicao, Jeaneth, Miyairi, Nobuko, Murayama, Yasuhiro, O'Brien, Margaret, Wyborn, Lesley, Vellenich, Danton Ferreira, and Mabile, Laurence

Subjects
citación de sistemas, Digital Presence, citación de datos, Software Citation, citación de software, presencia digital, ORCID, Data Citation
Abstract

Planifique, gestione y comparta sus datos.Utilice esta lista de verificación para optimizar sus prácticas de gestión e intercambio de datos. 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).

Published
2023
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45. Insights into the practicalities of collaboration, data and code sharing across the globe

Author

Specht, Alison, Minahan, Brian, Lammey, Rachael, Rittman, Martyn, Buys, Matt, O'Brien, Margaret, Castle, David, Devillers, Rodolphe, David, Romain, Mabile, Laurence, Machicao, Jeaneth, Correa, Pedro Pizzigatti, Wyborn, Lesley, Hayashi, Kazuhiro, and Stall, Shelley

Subjects
data science future priorities, data science, data science tool providers, data users, environmental science, data science challenges
Abstract

On the occasion of the tenth anniversary of the RDA, and as we approach the end of our Belmont-funded project, PARSEC (www.parsecproject.org), we felt it was time to discuss the practicalities of collaboration, data and code sharing for publication and re-use across the globe. The PARSEC team–from five geographically-dispersed countries–has collaborated for four years on the collation and harmonisation of data and the development of new methods for sharing data and code as we investigate the socio-economic effects of nature conservation initiatives. We have had very profitable partnerships in this endeavour with several leading data infrastructure and research tool providers, including ORCID, DataCite, the RDA itself, and the World Data System. In this session representatives of the key data science infrastructures (ORCID, Scholix, Crossref, DataCite, the WDS, the Environmental Data Initiative) and users (representing the voice of marine conservation, machine learning, data for artificial intelligence, health and life sciences, social inequalities in health, the geoscience community and domain variations in open science and open data) discuss the challenges they face and their vision of the optimum path to the future., This project was conducted as part of the Belmont Forum PARSEC project, funded under the Collaborative Research Action (CRA) on Science-Driven e-Infrastructures Innovation (SEI), with funding from FAPESP, the ANR, JST and the NSF, with collaborators from Australia, and support from the synthesis centre CESAB of the French Foundation for Research on Biodiversity.

Published
2023
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48. Desafíos y sugerencias para mejorar la reproducibilidad de los experimentos de aprendizaje profundo

Author

Machicao, Jeaneth, Abbes, Ali Ben, Specht, Alison, and Corrêa, Pedro

Subjects
deep learning, reproducibility
Abstract

En los últimos años, se han acelerado los esfuerzos para desarrollar buenas prácticas de investigación, y las cuestiones de Reproducibilidad y Replicabilidad (R & R) en los experimentos de ciencias de la computación han ganado atención. Debido a la complejidad de los enfoques utilizados, la reproducibilidad de los experimentos de aprendizaje profundo (Deep Learning, DL) es un reto particular. Sin embargo, sin el uso de la tecnología de DL, sería imposible resolver problemas que requieren la adquisición y el análisis de enormes cantidades de datos en el espacio y el tiempo. Los futuros usuarios podrían beneficiarse en gran medida de la experiencia de crear y ejecutar tales experimentos, y habría que superar los retos de reproducibilidad de los experimentos de DL. Para investigar la naturaleza de los retos de reproducibilidad de la DL en detalle y encontrar soluciones que puedan mejorar su reproducibilidad, evaluamos tres estudios de DL que analizaron elementos visuales de imágenes de satélite y de calles para estimar los niveles de pobreza en los asentamientos humanos. Detallamos sistemáticamente las dificultades con los conjuntos de datos, los métodos y los flujos de trabajo de cada experimento e identificamos acciones para combatir los problemas comunes. Nuestro público objetivo incluye a los investigadores que quieren replicar un experimento, a los autores que quieren informar sobre un experimento y a los revisores que quieren evaluar los experimentos de DL. Como resultado de esta evaluación, hemos desarrollado dos enfoques para mejorar la reproducibilidad y replicabilidad de los experimentos de DL: (i) una lista de comprobación de la calidad que incorpora, entre otros, los principios FAIR pertinentes, y (ii) directrices para reducir la probabilidad de que se desperdicien esfuerzos a la hora de decidir si un experimento puede reproducirse de forma viable., Acknowledgments: The PARSEC project is funded by the Belmont Forum, Collaborative Research Action on Science-Driven e-Infrastructures Innovation. J.M. is grateful for the support from FAPESP (grant 2020/03514–9).

Published
2022
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49. Open Science Practices for Teams

Author

Stall, Shelley, Specht, Alison, O'Brien, Margaret, Machicao, Jeaneth, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Edmunds, Rorie, Miyairi, Nobuko, Murayama, Yasuhiro, Santos, Solange, Wyborn, Lesley, Vellenich, Danton Ferreira, Vrouwenvelder, Kristina, and Mabile, Laurence

Subjects
Open Science, Responsibility, Communication, Sharing, Trust, Transparency
Abstract

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

Published
2022
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50. What can one learn from reproducing machine learning experiments?

Author

Machicao, Jeaneth, Ben Abbes, Ali, Specht, Alison, and Correa, Pedro Pizzigatti

Abstract

This talk was part of theNovember Narratives Twin-Talks - Reproducibility of ML Experiments and National Research Graph on 17 Nov 2022. It provides some insights from the paper ‘Mitigation Strategies to Improve Reproducibility of Poverty Estimations from Remote Sensing Images Using Deep Learning’ Machicao, J., Ben Abbes, A., Meneguzzi, L., Corrêa, P.L.P., Specht, A., David, R., Subsol, G., Vellenich, D., Devillers, R., Stall, S., Mouquet, N., Chaumont, M., Berti‐Equille, L., Mouillot, D., 2022. Mitigation Strategies to Improve Reproducibility of Poverty Estimations From Remote Sensing Images Using Deep Learning. Earth and Space Science 9.https://doi.org/10.1029/2022EA002379 You can watch the talk on: https://www.youtube.com/watch?v=gAmL40vtcTg 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 support from FAPESP, JST, ANR and NSF, and thesynthesis centre CESAB of the French Foundation for Research on Biodiversity.&nbsp

Published
2022
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