16 papers · ranked by Valyu relevance
Md Mobashir Hasan Shandhi, Joseph Coresh, Jessilyn Dunn, Eric J. Shiroma + 5 more
The landscape of epidemiological research is experiencing a technological transformation, driven by the rapid expansion of big data and advancements in artificial intelligence (AI) and machine learning (ML). This workshop explored the opportunities and challenges associated with integrating diverse data sources into…
Komal Gilani, Wei Wei, Christof Peters, Marlo Verket + 6 more
The integration of clinical research data across various institutions faces hurdles due to differing definitions, inconsistent terminologies, and inadequate support for interoperable metadata. While biomedical ontologies offer valuable tools for structuring clinical data, they have not yet been fully utilized for…
Bruno Lima, Farah Hasan, Pragathy Kannan, Michael Schnell + 3 more
Population-based cancer registries (PBCRs) provide international standardized indicators and evaluate public health actions and cancer care. Their research potential can be significantly enhanced through linkage with secondary data sources, such as biobanks, sociodemographic or genomic data. However, legal, ethical…
Tamara Knezevic Ivanovski, Sailish Honap, Rade Matic, Srdjan Markovic + 1 more
The increasing digitalization of health systems is accelerating the transition towards a new era of data-driven, evidence-based care. This has profound implications for clinical practice, performance evaluation, policy making and biomedical research. At the heart of this transformation lies a healthcare data warehouse…
David Márquez-Oller, Andrea Pauli, Jörg Fallmann, Lenore Cowen
Decreasing costs of high-throughput omics technologies enable rapid and widespread adoption of the latter in a growing number of research groups. However, the resultant stark increase in data availability has not been met with a matched development of easy-to-use analysis tools. Therefore, data analysis and integration…
Arriel Benis, Muhammad Yaqub, Yaoshu Wang, Hyeoneui Kim + 7 more
Background Integrated health data are foundational for secondary use, research, and policymaking. However, data quality issues-such as missing values and inconsistencies-are common due to the heterogeneity of health data sources. Existing frameworks often use static, 1-time assessments, which limit their ability to…
Laurinne J. Balstad, Joe Brennan, Marissa L. Baskett, Mattea K. Berglund + 12 more
“Data! Data! Data! I can’t make bricks without clay.” - Arthur Conan Doyle, The Adventure of the Copper Beeches Theoretical ecologists have long leveraged empirical data in various forms to advance ecology . Recently increased volumes and access to ecological data present an expanding set of opportunities for…
Yixuan Wang, Yimin Fan, Xuesong Wang, Tingyang Yu + 16 more
Recent advancements in single-cell sequencing technologies have led to the generation of vast amounts of multi-omics data, spurring the development of numerous integration tools. While multi-omics integration has significantly advanced cell research, there is still a lack of comprehensive evaluations and guidelines for…
Pascal Petit, Nicolas Vuillerme
Data have become central to scientific discovery. While primary data collection remains vital, there is growing recognition of the benefits of reusing existing datasets. However, identifying suitable datasets for specific research questions is increasingly difficult due to the fragmentation and heterogeneity of the big…
Dylan H Ross, Raghav Jain, Hyeyoon Kim, Javier E Flores + 5 more
Comprehensive analyses of multiple biological components including nucleic acids, proteins, metabolites, and lipids (i.e. “multiomics”) provide unique insights into complex biological processes. Combining insights from these components through multiomics data integration enhances the depth and nuance of biological…
Marcello Barylli, Joyaditya Saha, Tineke E Buffart, Jan Koster + 5 more
The construction of high-resolution network models requires the computational alignment of various -omics levels. To clarify the landscape of integration strategies, we adopt a taxonomy based on two orthogonal axes: the architectural stage of integration and the data relationship between modalities (, ). A detailed…
Marc Jacobs, Samad Goudarzi, Jan Stücke, Robin Röhm + 27 more
Introduction Translational biomedical research is increasingly collaborative and multimodal, making secure, high-quality data capture, curation, and analytics a major challenge. This work aims to provide an overview of existing medical research data platforms to support informed platform selection for translational…
Juha-Pekka Soininen, Carlos Fernández Sánchez, Stefano Modafferi, Stuart Campbell + 5 more
This paper presents an interoperability architecture for data spaces (DSIA), allowing members of the different data spaces using different technologies and services to exchange data. The DSIA builds on the existing trust of data space members and extends it through shared agreements and additional federation and…
Juan Bonastre-Egea, Andrés Bueno-Crespo, Juan Morales-García, Emiliano Zampetti
Air quality forecasting and environmental health research at urban and regional scales depend on the combination of measurements from heterogeneous sensor networks, yet the construction of integrated multi-source datasets is rarely described or released as a self-contained deliverable. This paper presents an open…
Ioannis Chrysakis, Gerasimos Antzoulatos, Luis Sánchez, Josiane Xavier Parreira + 6 more
The 2020 European Strategy for Data aims at developing Common European Data Spaces as a means to build a pan-European single market for data, thereby supporting economic growth and maximizing citizens' use of data. It demands data spaces in strategic sectors, with capabilities for effective data management and sharing.…
Bishoy Hakim, Fabio Dall’Antonia, Johannes Dallmann, Christian Felder + 16 more
Metadata catalogs are essential for implementing FAIR data principles in photon and neutron (PaN) science, enabling experimental data to become findable, accessible, interoperable and reusable. This work provides an analysis of current catalog systems in the PaN field and offers practical recommendations to advance…