Implementing FAIR Digital Objects in the EOSC-Life Workflow Collaboratory

By |March 12, 2021|Categories: Publications|Tags: , , |

To serve the needs of this established and diverse community, EOSC-Life has developed WorkflowHub as an inclusive workflow registry, agnostic to any Workflow Management System (WfMS). WorkflowHub aims to incorporate their workflows in partnership with the WfMS, to embed the registration of workflows in the community processes, e.g. based on pre-existing workflow repositories.

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Semantic micro-contributions with decentralized nanopublication services

By |March 8, 2021|Categories: Publications|Tags: |

We present here an approach to use nanopublications and a decentralized network of services to allow users to directly publish small Linked Data statements through a simple and user-friendly interface, called Nanobench, powered by semantic templates that are themselves published as nanopublications.

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Ultrafast structural changes within a photosynthetic reaction centre

By |December 2, 2020|Categories: Publications|Tags: , |

Photosynthetic reaction centres harvest the energy content of sunlight by [...]

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Computational approaches to therapeutic antibody design: established methods and emerging trends

By |May 14, 2020|Categories: Publications|

Abstract Antibodies are proteins that recognize the molecular surfaces of [...]

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FAIR Data Reuse – the Path through Data Citation

By |January 1, 2020|Categories: Publications|Tags: , , , |

Data citation already plays an important role in making data findable and accessible, providing persistent and unique identifiers plus metadata on over 16 million data sets. In this paper, we discuss how data citation and its underlying infrastructures, in particular associated metadata, provide an important pathway for enabling FAIR data reuse

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FAIR Computational Workflows

By |January 1, 2020|Categories: Publications|Tags: , |

Computational workflows describe the complex multi-step methods that are used for data collection, data preparation, analytics, predictive modelling, and simulation that lead to new data products. This paper argues that FAIR principles for workflows need to address their specific nature in terms of their composition of executable software steps, their provenance, and their development.

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