Literatura científica selecionada sobre o tema "Scientific workflow and FAIR protocols"
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Artigos de revistas sobre o assunto "Scientific workflow and FAIR protocols"
Celebi, Remzi, Joao Rebelo Moreira, Ahmed A. Hassan, Sandeep Ayyar, Lars Ridder, Tobias Kuhn e Michel Dumontier. "Towards FAIR protocols and workflows: the OpenPREDICT use case". PeerJ Computer Science 6 (21 de setembro de 2020): e281. http://dx.doi.org/10.7717/peerj-cs.281.
Texto completo da fonteYuen, Denis, Louise Cabansay, Andrew Duncan, Gary Luu, Gregory Hogue, Charles Overbeck, Natalie Perez et al. "The Dockstore: enhancing a community platform for sharing reproducible and accessible computational protocols". Nucleic Acids Research 49, W1 (12 de maio de 2021): W624—W632. http://dx.doi.org/10.1093/nar/gkab346.
Texto completo da fonteZulfiqar, Mahnoor, Michael R. Crusoe, Birgitta König-Ries, Christoph Steinbeck, Kristian Peters e Luiz Gadelha. "Implementation of FAIR Practices in Computational Metabolomics Workflows—A Case Study". Metabolites 14, n.º 2 (10 de fevereiro de 2024): 118. http://dx.doi.org/10.3390/metabo14020118.
Texto completo da fonteNayyar, Anand, Rudra Rameshwar e Piyush Kanti Dutta. "Special Issue on Recent Trends and Future of Fog and Edge Computing, Services and Enabling Technologies". Scalable Computing: Practice and Experience 20, n.º 2 (2 de maio de 2019): iii—vi. http://dx.doi.org/10.12694/scpe.v20i2.1558.
Texto completo da fonteSinaci, A. Anil, Francisco J. Núñez-Benjumea, Mert Gencturk, Malte-Levin Jauer, Thomas Deserno, Catherine Chronaki, Giorgio Cangioli et al. "From Raw Data to FAIR Data: The FAIRification Workflow for Health Research". Methods of Information in Medicine 59, S 01 (junho de 2020): e21-e32. http://dx.doi.org/10.1055/s-0040-1713684.
Texto completo da fontede Visser, Casper, Lennart F. Johansson, Purva Kulkarni, Hailiang Mei, Pieter Neerincx, K. Joeri van der Velde, Péter Horvatovich et al. "Ten quick tips for building FAIR workflows". PLOS Computational Biology 19, n.º 9 (28 de setembro de 2023): e1011369. http://dx.doi.org/10.1371/journal.pcbi.1011369.
Texto completo da fonteAlbtoush, Alaa, Farizah Yunus, Khaled Almi’ani e Noor Maizura Mohamad Noor. "Structure-Aware Scheduling Methods for Scientific Workflows in Cloud". Applied Sciences 13, n.º 3 (3 de fevereiro de 2023): 1980. http://dx.doi.org/10.3390/app13031980.
Texto completo da fonteMahmoudi, Morteza, Saya Ameli e Sherry Moss. "The urgent need for modification of scientific ranking indexes to facilitate scientific progress and diminish academic bullying". BioImpacts 10, n.º 1 (25 de setembro de 2019): 5–7. http://dx.doi.org/10.15171/bi.2019.30.
Texto completo da fonteAmmar, Ammar, Serena Bonaretti, Laurent Winckers, Joris Quik, Martine Bakker, Dieter Maier, Iseult Lynch, Jeaphianne van Rijn e Egon Willighagen. "A Semi-Automated Workflow for FAIR Maturity Indicators in the Life Sciences". Nanomaterials 10, n.º 10 (20 de outubro de 2020): 2068. http://dx.doi.org/10.3390/nano10102068.
Texto completo da fonteAyoubi, Doaa. "Investigational drugs services pharmacists education and workflow structure." JCO Global Oncology 9, Supplement_1 (agosto de 2023): 169. http://dx.doi.org/10.1200/go.2023.9.supplement_1.169.
Texto completo da fonteTeses / dissertações sobre o assunto "Scientific workflow and FAIR protocols"
Djaffardjy, Marine. "Pipelines d'Analyse Bioinformatiques : solutions offertes par les Systèmes de Workflows, Cadre de représentation et Étude de la Réutilisation". Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG059.
Texto completo da fonteBioinformatics is a multidisciplinary field that combines biology, computer science, and statistics, aiming to gain a better understanding of living mechanisms. It relies primarily on the analysis of biological data. Major technological improvements, especially sequencing technologies, gave rise to an exponential increase of data, laying out new challenges in data analysis and management.In order to analyze this data, bioinformaticians use pipelines, which chain computational tools and processes. However, the reproducibility crisis in scientific research highlights the necessity of making analyses reproducible and reusable by others.Scientific workflow systems have emerged as a solution to make pipelines more structured, understandable, and reproducible. Workflows describe procedures with multiple coordinated steps involving tasks and their data dependencies. These systems assist bioinformaticians in designing and executing workflows, facilitating their sharing and reuse. In bioinformatics, the most popular workflow systems are Galaxy, Snakemake, and Nextflow.However, the reuse of workflows faces challenges, including the heterogeneity of workflow systems, limited accessibility to workflows, and the need for public workflow databases. Additionally, indexing and developing workflow search engines are necessary to facilitate workflow discovery and reuse.In this study, we developed an analysis method for workflow specifications to extract several representative characteristics from a dataset of workflows. The goal was to propose a standardized representation framework independent of the specification language. Additionally, we selected a set of workflow characteristics and indexed them into a relational database and a structured semantic format. Finally, we established an approach to detect similarity between workflows and between processors, enabling us to observe the reuse practices adopted by workflow developers
Capítulos de livros sobre o assunto "Scientific workflow and FAIR protocols"
Li, Yin, Yuyin Ma e Ziyang Zeng. "A Novel Approach to Location-Aware Scheduling of Workflows Over Edge Computing Resources". In Research Anthology on Edge Computing Protocols, Applications, and Integration, 340–53. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5700-9.ch016.
Texto completo da fonteFerreira da Silva, Rafael, Tristan Glatard e Frédéric Desprez. "Self-Management of Operational Issues for Grid Computing". In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 187–221. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8213-9.ch006.
Texto completo da fonteMartínez-García, Alicia, Giorgio Cangioli, Catherine Chronaki, Matthias Löbe, Oya Beyan, Anthony Juehne e Carlos Luis Parra-Calderón. "FAIRness for FHIR: Towards Making Health Datasets FAIR Using HL7 FHIR". In MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation. IOS Press, 2022. http://dx.doi.org/10.3233/shti220024.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Scientific workflow and FAIR protocols"
Menager, H., e Z. Lacroix. "A Workflow Engine for the Execution of Scientific Protocols". In 22nd International Conference on Data Engineering Workshops (ICDEW'06). IEEE, 2006. http://dx.doi.org/10.1109/icdew.2006.24.
Texto completo da fonteKoderi, Harikrishnan, Vladimirs Šatrevičs e Irina Voronova. "IDENTIFICATION OF HUMAN FACTORS AND USER EXPERIENCE IN A REMOTE ENVIRONMENT". In 12th International Scientific Conference „Business and Management 2022“. Vilnius Gediminas Technical University, 2022. http://dx.doi.org/10.3846/bm.2022.737.
Texto completo da fonteBakota, Boris. "EUROPEAN COURT OF HUMAN RIGHTS AND THE EUROPEAN GREEN DEAL". In International Scientific Conference “Digitalization and Green Transformation of the EU“. Faculty of Law, Josip Juraj Strossmayer University of Osijek, 2023. http://dx.doi.org/10.25234/eclic/27448.
Texto completo da fontevan Mastrigt, Pieter, e Michael J. Quinn. "Reducing Uncertainties to Shape the Future of Exploration". In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21339-ms.
Texto completo da fonteRelatórios de organizações sobre o assunto "Scientific workflow and FAIR protocols"
Kopte, Robert. OSADCP Toolbox. GEOMAR, 2024. http://dx.doi.org/10.3289/sw_2_2024.
Texto completo da fonte