24 papers · ranked by Valyu relevance
Jana Sedlakova, Paola Daniore, Andrea Horn Wintsch, Markus Wolf + 10 more
'Mina Stanikic' 'Christina Haag' 'Chloé Sieber' 'Gerold Schneider' 'Kaspar Staub' 'Dominik Alois Ettlin' 'Oliver Grübner' 'Fabio Rinaldi' 'Viktor von Wyl' '' 'Raymond Francis Sarmiento'] Digital data play an increasingly important role in advancing health research and care. However, most digital data in healthcare are…
Kang, Daniel
| 1 | | Introduction | 117 | | | |…
Andrew E. Krumm, Saad Chahine, Abigail M. Schuh, Daniel J. Schumacher + 6 more
The increasing use of technology in health care and health professions education is an invitation to examine how digital sources of evidence are used in making assessment claims. In this paper, we describe how four sets of terms-primary and secondary data; structured and unstructured data; development and use; and…
Andry Castro, João Pinto, Luís Reino, Pavel Pipek + 1 more
The vast volume of currently available unstructured text data, such as research papers, news, and technical report data, shows great potential for ecological research. However, manual processing of such data is labour-intensive, posing a significant challenge. In this study, we aimed to assess the application of three…
François Bocquet, Mario Campone, Marc Cuggia
Digital health, e-health, telemedicine-this abundance of terms illustrates the scientific and technical revolution at work, made possible by high-speed processing of health data, artificial intelligence (AI), and the profound upheavals currently taking place and yet to come in health systems. Far from being limited to…
Authors not listed
The exponential growth of chemical literature necessitates the development of automated tools for extracting and curating molecular information from unstructured scientific publications into open-access chemical databases. Current optical chemical structure recognition (OCSR) and named entity recognition solutions…
Authors not listed
The materials-science literature is the richest reservoir of domain knowledge, yet converting its unstructured text—especially narrative passages and complex tables—into machine-readable data for analysis and ML model training remains challenging. To address this, we present KnowMat, an agentic, multi-stage pipeline…
Heinz Leitgöb, Dimitri Prandner, Tobias Wolbring
The datafication of society is a consequence of the digital revolution. In contemporary societies, individuals leave digital traces in numerous processes, such as communication, mobility, shopping, banking, dating, working, and learning (Lazer et al., ; for a review see Golder and Macy, ). These digital behavioral data…
Banan Jamil Awrahman, Chia Aziz Fatah, Mzhda Yasin Hamaamin
Healthcare has evolved with the development of technology to improve the quality of life and save lives. Today, big data is considered as one of the most essential and promising future technology areas and has been attracting the medical community's attention. As a result of big data, we can improve patient outcomes…
François Bocquet, Judith Raimbourg, Frédéric Bigot, Victor Simmet + 3 more
'Mario Campone' 'Jean-Sébastien Frenel' 'Paul B. Tchounwou'] Big Data and Artificial Intelligence can profoundly transform medical practices, particularly in oncology. Comprehensive Cancer Centers have a major role to play in this revolution. With the purpose of advancing our knowledge and accelerating cancer research…
Ozioma Collins Oguine, Kanyifeechukwu Jane Oguine, Hashim Ibrahim Bisallah
'Hashim Ibrahim Bisallah'] Abstract—The term, 'Big Data' has been coined to refer to the gargantuan bulk of data that cannot be dealt with by traditional data-handling techniques. Big Data is still a novel concept, and in the following literature we intend to elaborate it in a palpable fashion. It commences with the…
Maria Juliana Rodriguez-Cubillos, Tomasz Zieliński, Jason R. Swedlow, T. Ian Simpson + 1 more
Ensuring the availability and accessibility of research data is fundamental to advancing knowledge, as codified in the FAIR principles (Findable, Accessible, Interoperable, and Reusable). Accurate metadata documentation is indispensable for meeting these principles; however, entries in deposition databases often…
Petar Radanliev, David De Roure
With the increased digitalisation of our society, new and emerging forms of data present new values and opportunities for improved data driven multimedia services, or even new solutions for managing future global pandemics (i.e., Disease X). This article conducts a literature review and bibliometric analysis of…
L. Clissa, M. Lassnig, L. Rinaldi
The modern increase in data production is driven by multiple factors, and several stakeholders from various sectors contribute to it. Although drawing a comparison of the sizes at stake for different big data players is hard due to the lack of official data, this report tries to reconstruct the yearly orders of…
Chris Partridge, Andrew Mitchell, Sergio de Cesare, John Beverley
as an example Authors: ['Chris Partridge' 'Andrew Mitchell' 'Sergio de Cesare' 'John Beverley'] Abstract— Our aim in this paper is to outline how the design space for the ontologization process is richer than current practice would suggest. We point out that engineering processes as well as products need to be designed…
Qianxiang Ai, Fanwang Meng, Jiale Shi, Brenden Pelkie + 1 more
The popularity of data-driven approaches and machine learning (ML) techniques in the field of organic chemistry and its various subfields has increased the value of structured reaction data. Most data in chemistry is represented by unstructured text, and due to the vastness of the organic chemistry literature (papers…
Rania Mkhinini Gahar, Olfa Arfaoui, Minyar Sassi Hidri
—To succeed in a Big Data strategy, you have to arm yourself with a wide range of data skills and best practices. This strategy can result in an impressive asset that can streamline operational costs, reduce time to market, and enable the creation of new products. However, several Big Data challenges may take place in…
Kohulan Rajan, Henning Otto Brinkhaus, Achim Zielesny, Christoph Steinbeck
Accurate recognition of hand-drawn chemical structures is crucial for digitising hand-written chemical information found in traditional laboratory notebooks or for facilitating stylus-based structure entry on tablets or smartphones. However, the inherent variability in hand-drawn structures poses challenges for…
Bradley Wade Bishop, Jaxx Fox, Sidney Wanda Taylor Gavel, Emily Grace Chapin + 1 more
Physical collections provide the tangible objects that when analyzed become data informing all sciences. Physical collection managers aim to make physical objects discoverable, accessible, and reusable. The volume and variety of physical collections acquired, described, and stored across decades, and in some cases…
Mikko Nieminen, Oliver Stolpe, Mathias Kuhring, January Weiner + 3 more
Scientists employing omics in life science studies face challenges such as the modeling of multi assay studies, recording of all relevant parameters, and managing many samples with their metadata. They must manage many large files that are the results of the assays or subsequent computation. Users with diverse…
M. TAMER ÖZSU
Work-in-progressThere has been an increasing recognition of the value of data and of data-based decision making. As a consequence, the development of data science as a field of study has intensified in recent years. However, there is no systematic and comprehensive treatment and understanding of data science. This…
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In recent years, the development of large language models (LLMs) has revolutionized various fields of natural science, yet their application in molecular data processing remains constrained due to the reliance on single-modality inputs and outputs. To bridge the gap between experimenters and computational tools, we…
Jia Xu, Humza Naseer, Sean B. Maynard, Justin Fillipou
Digital business transformation has become increasingly important for organizations. Since transforming business digitally is an ongoing process, it requires an integrated and disciplined approach. Data Operations (DataOps), emerging in practice, can provide organizations with such an approach to leverage data and…
Alexandre Maes, Jeanne Le Peillet, Achille Julienne, Clémence Blachon + 6 more
DNA data storage is an emerging technology that has the potential to replace bulky, fragile and energy-intensive current digital data storage media. Here, we report a storage strategy called DNA Drive, that organizes data on long double stranded replicative DNA molecules. The DNA Drive has unlimited storage capacity…