27 papers · ranked by Valyu relevance
Moritz Lehne, Julian Sass, Andrea Essenwanger, Josef Schepers + 1 more
'Sylvia Thun'] Digital data are anticipated to transform medicine. However, most of today’s medical data lack interoperability: hidden in isolated databases, incompatible systems and proprietary software, the data are difficult to exchange, analyze, and interpret. This slows down medical progress, as technologies that…
Authors not listed
The nanosafety domain has seen significant advancements in data generation and sharing, yet challenges remain in ensuring data interoperability and reuse. This article focuses on developing a semantic interoperability framework for nanosafety data to maximize the FAIRness (Findability, Accessibility, Interoperability…
Lars Vogt, Philip Strömert, Nicolas Matentzoglu, Naouel Karam + 3 more
Interoperability Authors: ['Lars Vogt' 'Philip Strömert' 'Nicolas Matentzoglu' 'Naouel Karam' 'Marcel Konrad' 'Manuel Prinz' 'Roman Baum'] FAIR data presupposes their successful communication between machines and humans while preserving their meaning and reference, requiring all parties involved to share the same…
N.M.R. Rajkumar, M.R. Muzoora, S. Thun
Information has become the vital commodity of exchange in recent decades. Medicine is no exception; the importance of patient information in the digital form has been recognized by organizations and health care facilities. Almost all patient information, including medical history, radiographs, and feedback, can be…
Gunther Eysenbach, Ricardo Martinho, Vincenzo Della Mea, Felipe Carvalho Pellison + 8 more
'Felipe Carvalho Pellison' 'Rui Pedro Charters Lopes Rijo' 'Vinicius Costa Lima' 'Nathalia Yukie Crepaldi' 'Filipe Andrade Bernardi' 'Rafael Mello Galliez' 'Afrânio Kritski' 'Kumar Abhishek' 'Domingos Alves'] Background Interoperability of health information systems is a challenge due to the heterogeneity of existing…
Giada Lalli
Interoperability is crucial for modern scientific advancement, yet its fragmented definitions across domains hinder researchers' ability to effectively reap the rewards. This paper proposes a new, universal definition by tracing the evolution of interoperability and identifying challenges posed by varying definitions.…
Carlos Luis Parra-Calderón, Gunther Eysenbach, Guoqian Jiang, Alan Rector + 7 more
'Alan Rector' 'Stuart Nelson' 'Christophe Gaudet-Blavignac' 'Jean Louis Raisaro' 'Vasundra Touré' 'Sabine Österle' 'Katrin Crameri' 'Christian Lovis'] Background Interoperability is a well-known challenge in medical informatics. Current trends in interoperability have moved from a data model technocentric approach to…
Lars Vogt, Philip Strömert, Nicolas Matentzoglu, Naouel Karam + 3 more
'Marcel Konrad' 'Manuel Prinz' 'Roman Baum'] FAIR (meta)data presuppose their successful communication between machines and humans while preserving meaning and reference. The FAIR Guiding Principles lack specificity regarding semantic interoperability. We adopt a linguistic perspective on semantic interoperability and…
Rhonda Facile, Catherine Chronaki, Peter van Reusel, Rebecca Kush
The effective and meaningful exchange of data is pivotal for patient care, informed decision-making, and advancements in research and technology. This opinion piece explores the critical role of semantic interoperability (SI) in ensuring meaningful health data sharing across diverse systems. Emphasizing the imperative…
Tarcisio Mendes de Farias, Julien Wollbrett, Marc Robinson-Rechavi, Frederic Bastian
Enhancing data/metadata interoperability is the solution for solving data/metadata heterogeneities among the different parts (e.g., systems) between which we seek to exchange information . According to , we can categorize these heterogeneities as structural (schema), syntactic (format), and semantic (meaning)…
Lars Vogt
Ensuring the FAIRness (Findable, Accessible, Interoperable, Reusable) of data and metadata is an important goal in both research and industry. Knowledge graphs and ontologies have been central in achieving this goal, with interoperability of data and metadata receiving much attention. The European Open Science Cloud…
Tarcisio Mendes de Farias, Julien Wollbrett, Marc Robinson‐Rechavi, Frederic Bastian
'Frederic Bastian'] Background, enhancing interoperability of bioinformatics knowledge bases is a high priority requirement to maximize data reusability, and thus increase their utility such as the return on investment for biomedical research. A knowledge base may provide useful information for life scientists and…
Martin Starman, Fabian Kirchner, Martin Held, Catriona Eschke + 4 more
Electronic Lab Notebooks (ELNs) have become indispensable tools for modern research laboratories, facilitating data management, collaboration, and documentation of scientific experiments. However, the proliferation of diverse ELN platforms poses challenges for researchers who need to seamlessly exchange data between…
S Bauermeister, C Orton, S Thompson, R A Barker + 62 more
The Dementias Platform UK (DPUK) Data Portal is a data repository facilitating access to data for 3 370 929 individuals in 42 cohorts. The Data Portal is an end-to-end data management solution providing a secure, fully auditable, remote access environment for the analysis of cohort data. All projects utilising the data…
Liang Yang, Shi-Ting Ni, Yuyang Wang, Ao Yu + 2 more
Review Authors: ['Liang Yang' 'Shi-Ting Ni' 'Yuyang Wang' 'Ao Yu' 'Jyh‐An Lee' 'Pan Hui'] | Contents | | 1 | | --- | --- | --- | | Abstract | | 2 | | 1 | Introduction | 3 | | 2 | Background | 5 | | 2.1 | Interoperability in the Digital Ecosystem | 5 | | 2.2 | Interoperability in the Metaverse | 6 | | 3 | Research…
Laura Martín, Jorge Lanza, Víctor Abraham Villagrá González, Juan Ramón Santana + 2 more
Nowadays, there are plenty of data sources generating massive amounts of information that, combined with novel data analytics frameworks, are meant to support optimisation in many application domains. Nonetheless, there are still shortcomings in terms of data discoverability, accessibility and interoperability. Open…
Mahnoor Zulfiqar, Michael R. Crusoe, Birgitta König-Ries, Christoph Steinbeck + 2 more
Scientific workflows facilitate the automation of data analysis tasks by integrating various software and tools executed in a particular order. To enable transparency and reusability in workflows, it is essential to implement the FAIR principles. Here, we describe our experiences implementing the FAIR principles for…
Shawn C. Yarnes, Nick Palladino, David J. Meidlinger, David R. Philips + 18 more
DeltaBreed is a unified breeding data management system designed by Breeding Insight (BI, Cornell University) to serve the wide diversity of USDA-ARS specialty crop and animal breeding programs. DeltaBreed has a RESTful microservice architecture that utilizes the BrAPI Java Test Server as its primary database. The…
Connor Bernard, Gabriel Silva Santos, Jacques Deere, Roberto Rodriguez-Caro + 5 more
The ecological sciences have joined the big data revolution. However, despite exponential growth in data availability, broader interoperability amongst datasets is still needed to unlock the potential of open access. The interface of demography and functional traits is well-positioned to benefit from said…
Charles Tapley Hoyt, Daniel Domingo-Fernández, Sarah Mubeen, Josep Marin Llaó + 12 more
The integration of heterogeneous, multiscale, and multimodal knowledge and data has become a common prerequisite for joint analysis to unravel the mechanisms and aetiologies of complex diseases. Because of its unique ability to capture this variety, Biological Expression Language (BEL) is well suited to be further used…
Alejandro Roldán, Tomás Golomb Durán, Antoni Josep Far, Maria Capa + 2 more
The era of Big Data has revolutionised biodiversity research, yet the potential of this information is frequently constrained by data heterogeneity, incompatible schemas, and the fragmentation of resources. Whilst standards such as Darwin Core have improved interoperability, significant barriers persist in harmonising…
Authors not listed
The discoverability and reusability of data is critical for machine learning to drive new discovery in the chemical sciences, and the ‘FAIR Guiding Principles for scientific data management and stewardship’ provide a measurable set of guidelines that can be used to ensure the accessibility of reusable data. We…
Paulo Maciel, Pedro Henrique Dias Valle, Kécia Souza Santana Santos, Elisa Yumi Nakagawa
'Elisa Yumi Nakagawa'] Interoperability has been a focus of attention over at least four decades, with the emergence of several interoperability types (or levels), diverse models, frameworks, and solutions, also as a result of a continuous effort from different domains. The current heterogeneity in technologies such as…
Jeaphianne van Rijn, Antreas Afantitis, Mustafa Culha, Maria Dusinska + 10 more
Data management of nanomaterials and nanosafety data needs to operate under the FAIR (findability, accessibility, interoperability, and reusability) principles and this requires a unique, global identifier per nanomaterial. Existing identifiers may not always be applicable, or sufficient to definitively identify the…
Authors not listed
Raman spectroscopy is an increasingly powerful and fast-growing analytical technique across diverse disciplines, from materials science and chemistry to biology and medicine, thanks to advances in Raman instrumentation and greatly supported by the flourishing of chemometrics and artificial intelligence (AI). However…
Peter Kraus, Edan Bainglass, Francisco F. Ramirez, Enea Svaluto-Ferro + 7 more
Compliance with good research data management practices means trust in the integrity of the data, and it is achievable by a full control of the data gathering process. In this work, we demonstrate tooling which bridges these two aspects, and illustrate its use in a case study of automated battery cycling. We…
George Alter, Alejandra Gonzalez-Beltran, Lucila Ohno-Machado, Philippe Rocca-Serra
This article presents elements in the Data Tags Suite (DATS) metadata schema describing data access, data use conditions, and consent information. DATS is a product of the bioCADDIE Project, which created a data discovery index for searching across all types of biomedical data. The “access and use” metadata items in…