Quest markup for developing FAIR questionnaire modules for epidemiologic studies by Daniel E. Russ, Nicole M. Gerlanc, Brian Shen, Bhaumik Patel, Amy Berrington de González, Neal D. Freedman, Julie M. Cusack, Mia M. Gaudet, Montserrat García-Closas, Jonas S. Almeida

“…., skip patterns) and view the structure of data collection. We provide the Quest markup language, an in-browser markup rendering tool, questionnaire development tool and an example web application that embeds the renderer, developed for The Connect for Cancer Prevention Study. …”
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Data Governance Navigation for Advanced Operations in Healthcare Excellence by Vahideh Zarea Gavgani, Aniseh Pourrasmi

“…Implementing Data Governance: A Step-by-Step Guide 1- Define the scope: Specify the organizational structure, authorities, councils, and roles. 2- Form a governance team: Create a team that includes a chief data officer and a chief medical information officer to drive accountability. 3- Identify key metrics: Focus on data accuracy, process improvement, and efficiency. 4- Understand compliance standards: Familiarize yourself with existing regulations and policies. 5- Secure the system: Implement encryption, masking, and hashing policies for protected health information. 6- Setting user permissions: Create authentication protocols and monitor data access. 7- Educate your team: Educate your teams on adopting and following a data governance plan. …”
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Strong Serpentinization and Hydration in the Subducting Plate of the Southern Mariana Trench: Insights From Vp/Vs Ratios by Enyuan He, Xuelin Qiu, Yuhan Li, Ingo Grevemeyer, Min Xu, Minghui Zhao, Yuan Wang, Chuanxu Chen

Subjects: “…wide‐angle seismic data…”
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About the search of partners for strategic alliance by N. V. Vysotskaya, A. O. Kolodko

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Big Data in traumatic brain injury; promise and challenges by Denes V Agoston, Dianne Langford

“…Traumatic brain injury (TBI) is a spectrum disease of overwhelming complexity, the research of which generates enormous amounts of structured, semi-structured and unstructured data. This resulting ...…”
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RETRACTED: Challenges and opportunities of big data analytics in healthcare by Priyanshi Goyal, Rishabha Malviya

“…Abstract Data science is an interdisciplinary discipline that employs big data, machine learning algorithms, data mining techniques, and scientific methodologies to extract insights and information from massive amounts of structured and unstructured data. …”
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Data science applied to the assessment of biological variation estimates by Marques-Garcia Fernando, Nieto-Librero Ana, Gonzalez-García Nerea, Tejedor-Ganduxé Xavier, Martinez-Bravo Cristina

“…Data science is an umbrella term encompassing a set of tools and processes that make it possible to extract new information from structured or unstructured databases. …”
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Big Data in traumatic brain injury; promise and challenges by Denes V Agoston, Dianne Langford

“…Traumatic brain injury (TBI) is a spectrum disease of overwhelming complexity, the research of which generates enormous amounts of structured, semi-structured and unstructured data. This resulting big data has tremendous potential to be mined for valuable information regarding the “most complex disease of the most complex organ”. …”
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Memory-optimized distributed utility mining for big data by Sunil kumar, Krishna Kumar Mohbey

“…In recent days, social media, online services, smartphones, and the Internet of Things (IoT) produces large quantities of data every second. The generated data is structured, unstructured, or semi-structured and available in various formats. …”
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Data Management Competencies – A Need for Digital Age by Mihaela Cazacu, Emilia Titan, Mihaela Mihai

“…Implementation strategy plays an important role in digital transformation, both in adapting to digital changes and integrating new educational plans based on solid methodological tools. Data are becoming monetized business assets. Statista revealed that there will be just over 180zb of data produced by 2025 in the world, while Forbes shows that 95% of companies need to manage unstructured data. …”
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A spectral–structural characterization of European temperate, hemiboreal, and boreal forests by M. Rautiainen, A. Hovi, D. Schraik, D. Schraik, J. Hanuš, P. Lukeš, Z. Lhotáková, L. Homolová

“…In this data description paper, we present a dataset on the structural and spectral properties of 58 stands in temperate, hemiboreal, and boreal European forests. …”
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Network controllability mediates the relationship between rigid structure and flexible dynamics by Shi Gu, Panagiotis Fotiadis, Linden Parkes, Cedric H. Xia, Ruben C. Gur, Raquel E. Gur, David R. Roalf, Theodore D. Satterthwaite, Dani S. Bassett

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Synchronization lag in post stroke: relation to motor function and structural connectivity by Xin Wang, Caio Seguin, Andrew Zalesky, Wan-wa Wong, Winnie Chiu-wing Chu, Raymond Kai-yu Tong

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Distributed and morphological operation-based data collection algorithm by Yalin Nie, Haijun Wang, Yujie Qin, Zeyu Sun

“…With this aim, we propose a distributed and morphological operation-based data collection algorithm. Inspired by the use of morphological erosion and dilation on binary images, the proposed distributed and morphological operation-based data collection algorithm calculates the structuring neighbors of each node based on the structuring element, and it produces an event-monitoring map of structuring neighbors with less cost and then determines whether to erode or not. …”
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Data algorithmic dependencies and their features vicissitude in relation sets by Birutė Pliuskuvienė, Petras Adomėnas

“… This article presents introduction of the new mechanism to the relation model, particularly algorithmic dependencies showing up among attributes, which are realization of concrete applicable task structured in primary data sets. The conception of algorithmic dependencies, classification, general expressions and changes are also defined. …”
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Open Government Data Topic Modeling and Taxonomy Development by Aljaž Ferencek, Mirjana Kljajić Borštnar

“…This research presents a structured approach to developing a taxonomy for open government data (OGD) impact areas using machine learning-driven topic modeling and iterative taxonomy refinement. …”
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Data-driven support for smart renewal of urban neighbourhoods by Spela VEROVSEK, Matevz JUVANCIC, Tadeja ZUPANCIC

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Common core variables for childhood cancer data integration by Daniela Di Carlo, Ruth Ladenstein, Norbert Graf, Johannes Hans Merks, Gustavo Hernández-Peñaloza, Pamela Kearns, Gianni Bisogno

“…Domains that included a group of variables structurally connected were identified. Each variable was defined by name, data type, description, and permissible values. …”
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Semantics-based Framework for Incentivized Research Data Sharing by Kacy Adams, Deborah McGuinness, Oshani Seneviratne

“…We present a framework for incentivized research data sharing using an ontology called the Data Sharing Ontology (DSO). …”
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Patterns of Neck Main Arteries Morphometry and Echocardiography Data by Maksud А. Khalilov, Andrey S. Moshkin, Lyubov V. Moshkina

“…Objective: to compare the objective results of ultrasound imaging of neck main arteries with echocardiography data, to assess the correlation patterns between the morphological characteristics of the structures.Material and methods. …”
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