Carole Goble, F. Bacall, S. Soiland-Reyes, Stuart Owen, Ignacio Eguinoa, Bert Droesbeke, Hervé Ménager, Laura Rodríguez-Navas, J. M. Fernández, Bjorn Gruening, Simone Leo, Luca Pireddu, M. Crusoe, Johan Gustafsson, S. Capella-Gutiérrez, Frederik Coppens
{"title":"The EOSC-Life Workflow Collaboratory for the Life Sciences","authors":"Carole Goble, F. Bacall, S. Soiland-Reyes, Stuart Owen, Ignacio Eguinoa, Bert Droesbeke, Hervé Ménager, Laura Rodríguez-Navas, J. M. Fernández, Bjorn Gruening, Simone Leo, Luca Pireddu, M. Crusoe, Johan Gustafsson, S. Capella-Gutiérrez, Frederik Coppens","doi":"10.52825/cordi.v1i.352","DOIUrl":null,"url":null,"abstract":"Workflows have become a major tool for the processing of Research Data, for example, data collection and data cleaning pipelines, data analytics, and data update feeds populating public archives. The EOSC-Life Research Infrastructure Cluster project brought together Europe’s Life Science Research Infrastructures to create an Open, Digital and Collaborative space for biological and medical research to develop a cloud-based Workflow Collaboratory. As adopting FAIR practices extends beyond data, the Workflow Collaboratory drives the implementation of FAIR computational workflows and tools. It fosters tool-focused collaborations and reuse via the sharing of data analysis workflows and offers an ecosystem of services for researchers and workflow specialists to find, use and reuse workflows. It’s web-friendly Digital Object Metadata Framework, based on RO-Crate and Bioschemas, supports the description and exchange of workflows across the services.","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Conference on Research Data Infrastructure","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52825/cordi.v1i.352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Workflows have become a major tool for the processing of Research Data, for example, data collection and data cleaning pipelines, data analytics, and data update feeds populating public archives. The EOSC-Life Research Infrastructure Cluster project brought together Europe’s Life Science Research Infrastructures to create an Open, Digital and Collaborative space for biological and medical research to develop a cloud-based Workflow Collaboratory. As adopting FAIR practices extends beyond data, the Workflow Collaboratory drives the implementation of FAIR computational workflows and tools. It fosters tool-focused collaborations and reuse via the sharing of data analysis workflows and offers an ecosystem of services for researchers and workflow specialists to find, use and reuse workflows. It’s web-friendly Digital Object Metadata Framework, based on RO-Crate and Bioschemas, supports the description and exchange of workflows across the services.