Search Results - "Bonino Da Silva Santos, Luiz Olavo"
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Interoperability and FAIRness through a novel combination of Web technologies
Published in PeerJ. Computer science (24-04-2017)“…Data in the life sciences are extremely diverse and are stored in a broad spectrum of repositories ranging from those designed for particular data types (such…”
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Evaluating FAIR maturity through a scalable, automated, community-governed framework
Published in Scientific data (20-09-2019)“…Transparent evaluations of FAIRness are increasingly required by a wide range of stakeholders, from scientists to publishers, funding agencies and policy…”
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FAIR Principles: Interpretations and Implementation Considerations
Published in Data intelligence (01-01-2020)“…The FAIR principles have been widely cited, endorsed and adopted by a broad range of stakeholders since their publication in 2016. By intention, the 15 FAIR…”
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Distributed Analytics on Sensitive Medical Data: The Personal Health Train
Published in Data intelligence (01-01-2020)“…In recent years, as newer technologies have evolved around the healthcare ecosystem, more and more data have been generated. Advanced analytics could power the…”
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A Generic Workflow for the Data FAIRification Process
Published in Data intelligence (01-01-2020)“…The FAIR guiding principles aim to enhance the Findability, Accessibility, Interoperability and Reusability of digital resources such as data, for both humans…”
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FAIR Data Point: A FAIR-Oriented Approach for Metadata Publication
Published in Data intelligence (08-03-2023)“…Metadata, data about other digital objects, play an important role in FAIR with a direct relation to all FAIR principles. In this paper we present and discuss…”
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The “A” of FAIR – As Open as Possible, as Closed as Necessary
Published in Data intelligence (01-01-2020)“…In order to provide responsible access to health data by reconciling benefits of data sharing with privacy rights and ethical and regulatory requirements,…”
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Why Adverse Outcome Pathways Need to be FAIR
Published in ALTEX, alternatives to animal experimentation (01-01-2024)“…Adverse outcome pathways (AOPs) provide evidence for demonstrating and assessing causality between measurable toxicological mechanisms and human or…”
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Making FAIR Easy with FAIR Tools: From Creolization to Convergence
Published in Data intelligence (01-01-2020)“…Since their publication in 2016 we have seen a rapid adoption of the FAIR principles in many scientific disciplines where the inherent value of research data…”
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The use of foundational ontologies in biomedical research
Published in Journal of biomedical semantics (11-12-2023)“…The FAIR principles recommend the use of controlled vocabularies, such as ontologies, to define data and metadata concepts. Ontologies are currently modelled…”
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A study on interoperability between two Personal Health Train infrastructures in leukodystrophy data analysis
Published in Scientific data (22-06-2024)“…The development of platforms for distributed analytics has been driven by a growing need to comply with various governance-related or legal constraints. Among…”
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DAMS: A Distributed Analytics Metadata Schema
Published in Data intelligence (25-10-2021)“…In recent years, implementations enabling Distributed Analytics (DA) have gained considerable attention due to their ability to perform complex analysis tasks…”
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The Need of Industry to Go FAIR
Published in Data intelligence (01-01-2020)“…The industry sector is a very large producer and consumer of data, and many companies traditionally focused on production or manufacturing are now relying on…”
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The FAIR Data Point: Interfaces and Tooling
Published in Data intelligence (08-03-2023)“…While the FAIR Principles do not specify a technical solution for ‘FAIRness’, it was clear from the outset of the FAIR initiative that it would be useful to…”
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Semantic Description of Explainable Machine Learning Workflows for Improving Trust
Published in Applied sciences (01-11-2021)“…Explainable Machine Learning comprises methods and techniques that enable users to better understand the machine learning functioning and results. This work…”
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Building Expertise on FAIR Through Evolving Bring Your Own Data (BYOD) Workshops: Describing the Data, Software, and Management-focused Approaches and Their Evolution
Published in Data intelligence (01-05-2024)“…Since 2014, “Bring Your Own Data” workshops (BYODs) have been organised to inform people about the process and benefits of making resources Findable,…”
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The attention to the appropriate data treatment is fundamental to possible achieve all the potential to the open science
Published in Revista de pesquisa, cuidado é fundamental (18-07-2018)“…Since XVII century, the societies demand a grater opening and transparency for the academic activities. Considering that most of scientific founding come from…”
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GO FAIR Brazil: A Challenge for Brazilian Data Science
Published in Data intelligence (01-01-2020)“…The FAIR principles, an acronym for Findable, Accessible, Interoperable and Reusable, are recognised worldwide as key elements for good practice in all data…”
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A Transformation-Based Approach to Business Process Management in the Cloud
Published in Journal of grid computing (01-06-2014)“…Business Process Management (BPM) has gained a lot of popularity in the last two decades, since it allows organizations to manage and optimize their business…”
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A FAIR catalog of ontology-driven conceptual models
Published in Data & knowledge engineering (01-09-2023)“…Multi-domain model catalogs serve as empirical sources of knowledge and insights about specific domains, about the use of a modeling language’s constructs, as…”
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