Contributors: Escola Politecnica da Universidade de Sao Paulo Sao Paulo; Centre de Synthèse et d’Analyse sur la Biodiversité (CESAB); Fondation pour la recherche sur la Biodiversité (FRB); Universidade de São Paulo = University of São Paulo (USP); Polytechnic School of the University of São Paulo (Brazil); The University of Queensland (UQ All campuses : Brisbane, Dutton Park Gatton, Herston, St Lucia and other locations ); European Research Infrastructure on Highly Pathogenic Agents (ERINHA-AISBL); Image & Interaction (LIRMM; Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM); Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM); Expertise et spatialisation des connaissances en environnement (ESPACE); Institut de Recherche pour le Développement (IRD); American Geophysical Union Washington; UMR 228 Espace-Dev, Espace pour le développement; Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de la Nouvelle-Calédonie (UNC)-Université de Guyane (UG)-Université des Antilles (UA)-Université de Montpellier (UM); MARine Biodiversity Exploitation and Conservation - MARBEC (UMR MARBEC); Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM); PARSEC is funded by the Belmont Forum through the National Science Foundation (NSF), The São Paulo Research Foundation (FAPESP), the French National Research Agency (ANR). J.M. is grateful for the support from FAPESP (grant 2020/03514–9), R.D. is grateful for the support from EOSC-Life (grant agreement N°824087); International Science Council’s Committee on Data (CODATA); World Data System (WDS); Research Data Alliance (RDA); PARSEC project; EOSC-Life european program (grant agreement N°824087); European Project: 824087,EOSC-Life(2019)
نبذة مختصرة : IDW 2022 was hosted in Seoul, the Republic of Korea, by the Korea Institute of Science and Technology Information (KISTI), committed by the Ministry of Science and ICT, Seoul Metropolitan Government, National Library of Korea, and National Assembly Library, with the support of the Korea Research Institute of Standards and Science (KRISS), Sungkyunkwan University (SKKU), Korea Institute of Oriental Medicine and the Korea Institute of Geoscience and Mineral Resources.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 ; One of the challenges in Machine Learning research is to ensure that the presented and published results are sound and reliable. Reproducibility is an important step to promote open and accessible research, thereby allowing the scientific community to quickly integrate new findings and convert ideas to practice. We already went through the path of darkness: We proposed a set of recommendations ('fixes') to overcome these reproducibility challenges that a researcher may encounter in order to improve Reproducibility and Replicability (R&R) and reduce the likelihood of wasted effort. These strategies can be used as "swiss army knife" to move from DL to more general areas as they are organized as (i) the quality of the dataset (and associated metadata), (ii) the Deep Learning method, (iii) the implementation, and the infrastructure used. We identified the main challenges and constraints from these papers and presented ...
Processing Request
No Comments.