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…
Nawsher Khan, Ibrar Yaqoob, Ibrahim Abaker Targio Hashem, Zakira Inayat + 4 more
'Zakira Inayat' 'Waleed Kamaleldin Mahmoud Ali' 'Muhammad Alam' 'Muhammad Shiraz' 'Abdullah Gani'] Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. Currently, over 2…
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…
Richa Gupta, Sunny Gupta, Anuradha Singhal
Big data is data that exceeds the processing capacity of traditional databases. The data is too big to be processed by a single machine. New and innovative methods are required to process and store such large volumes of data. This paper provides an overview on big data, its importance in our live and some technologies…
Chris Kimble, Giannis Milolidakis
Big data is one of the most discussed, and possibly least understood, terms in use in business today. Big data is said to offer not only unprecedented levels of business intelligence concerning the habits of consumers and rivals, but also to herald a revolution in the way in which business are organized and run.…
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…
Abhay Kumar Bhadani, Dhanya Jothimani
With the advent of Internet of Things (IoT) and Web 2.0 technologies, there has been a tremendous growth in the amount of data generated. This chapter emphasizes on the need for big data, technological advancements, tools and techniques being used to process big data are discussed. Technological improvements and…
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 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…
Gunther Eysenbach, Jiang Bian, David Maslove, Miguel Angel Mayer + 6 more
Background Big data analytics offers promise in many business sectors, and health care is looking at big data to provide answers to many age-related issues, particularly dementia and chronic disease management. Objective The purpose of this review was to summarize the challenges faced by big data analytics and the…
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…
Tobias Blanke, Andrew Prescott
As the United States grew rapidly in the late nineteenth century, its government sought to collect more information about the state of the country. The vast amount of data collected in the 1880 census was still being transcribed by clerical staff nine years later. A new method was required for the 1890 census and…
Jennifer Edmond, Georgina Nugent-Folan
One of the major terminological forces driving ICT integration in research today is that of "big data." While the phrase sounds inclusive and integrative, "big data" approaches are highly selective, excluding input that cannot be effectively structured, represented, or digitised. Data of this complex sort is precisely…
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…
Henning Otto Brinkhaus, Kohulan Rajan, Jonas Schaub, Achim Zielesny + 1 more
Recent years have seen a sharp increase in the development of deep learning and artificial intelligence-based molecular informatics. There has been a growing interest in applying deep learning to several subfields, including the digital transformation of synthetic chemistry, extraction of chemical information from the…
Authors not listed
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…
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…
Thomas Bozada, James Borden, Jeffrey Workman, Mardo Del Cid + 2 more
Well-curated datasets are essential to evidence based decision making and to the integration of artificial intelligence with human reasoning across disciplines. However, many sources of data remain siloed, unstructured, and/or unavailable for complementary and secondary research. Sysrev was developed to address these…
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…
Susanna-Assunta Sansone, Alejandra Gonzalez-Beltran, Philippe Rocca-Serra, George Alter + 12 more
Today’s science increasingly requires effective ways to find and access existing datasets that are distributed across a range of repositories. For researchers in the life sciences, discoverability of datasets may soon become as essential as identifying the latest publications via PubMed. Through an international…
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…
Sarala M. Wimalaratne, Nick Juty, John Kunze, Greg Janée + 6 more
Compact identifiers have been widely used in biomedical informatics both formally and informally. They consist of two parts: 1) a unique prefix or namespace indicating the assigning authority and 2) a locally assigned database identifier sometimes called an accession. The former are useful to avoid global identifier…