Evaluability Assessment: Clarifying Organizational Support and Data Availability by Joseph Hare, Timothy Guetterman

“…The researchers conducted semi-structured interviews and analyzed the data using thematic analysis. …”
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Maturity Model for Organizational Research Data Management Services by Yasuyuki Minamiyama, Ui Ikeuchi, Kosuke Tanabe, Kenji Yuki, Kazuhiro Hayashi, Takaaki Aoki

“…By analyzing existing RDM service maturity models, we extract six key dimensions —awareness, data policy, budget, services, user needs, and IT infrastructure—and develop a structured evaluation framework with a five-level rating system. …”
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Listen to genes: dealing with microarray data in the frequency domain. by Jianfeng Feng, Dongyun Yi, Ritesh Krishna, Shuixia Guo, Vicky Buchanan-Wollaston

“…<h4>Background</h4>We present a novel and systematic approach to analyze temporal microarray data. The approach includes normalization, clustering and network analysis of genes.…”
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Characterising London parks and gardens using open data by Dace Kirsteina, Marie A.E. Mueller, Ross S. Purves

“…To do so, we used open data, including OpenStreetMap and Light Detection and Ranging (LiDAR) data, to measure six characteristics, identified from the literature as being important for well-being, in 1,638 parks in London: size, trail and pathway density, water cover, buildings and other anthropogenic features, horizontal vegetation coverage, and vertical vegetation structure. …”
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Methods of teaching educational data mining for pedagogical students by E. A. Terbusheva

“…The main aspects underlying the methodology: a form of flipped learning, a concentric (iterative) content structure, research teaching methods, a set of practical tasks for developing research competencies and Weka software for data mining as the main technical training tool for practical tasks implementation. …”
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Linking Digital Footprint Data into Longitudinal Population Studies by Romana Burgess, Andy Boyd, Oliver Davis, Louise AC Millard, Mark Mumme, Sarah Robertson, Andy Skinner, Zhuoni Xiao, Anya Skatova

“…Methods We propose a structured, four-stage framework to facilitate successful linkage of digital footprint data into LPS: (1) understand participant expectations and acceptability; (2) collect and link the data; (3) evaluate properties of the data; and (4) ensure secure and ethical access for research. …”
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Statistical data analysis methods in Brillouin spectroscopy: Tutorial by Christopher G. Poulton, Hadi Mahmodi, Matthew D. Arnold, Luke McAlary, Lezanne Ooi, Irina Kabakova

“…In this tutorial, we discuss in detail the application of the two unsupervised machine learning methods, principal component analysis and vertex component analysis, which can be used to retrieve information from the Brillouin microscopy data of heterogeneous samples. The main advantage of both methods is their unsupervised nature, thus no preliminary knowledge of structure and composition is needed to isolate the components of interest. …”
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Adaptive Data Warehouse as the Technological basis of the banking Ecosystem by E. V. Vasilieva, K. S. Solyanov, T. D. Konevtseva

“…It makes it possible to set the warehouse contours for specific business tasks, combine elements, and expand the structure of the banking data warehouse in the context of its integration with various external software objects. …”
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Online Asynchronous Learning over Streaming Nominal Data by Hongrui Li, Shengda Zhuo, Lin Li, Jiale Chen, Tianbo Wang, Jun Tang, Shaorui Liu, Shuqiang Huang

“…However, most existing online learning methods assume homogeneous data types and synchronous arrival of features and labels. …”
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Digital Footprint as a Source of Big Data in Education by T. M. Shamsutdinova

“…The purpose of this study is to consider the prospects and problems of using big data in education.Materials and methods. The research methods include analysis, systematization and structuring of information in the field of big data application in education, as well as modeling and software implementation of a test model for processing big data by using the Apache Spark framework.Results. …”
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An integrative framework to combine migratory connectivity and demographic data by Killian A. Gregory, Charlotte Francesiaz, Frédéric Jiguet, Pierre‐André Crochet, Pierrick Bocher, Heinz Düttmann, Jaanus Elts, Thomas Fartmann, Stefan Garthe, Steffen Kämpfer, Helmut Kruckenberg, Riho Marja, Markus Piha, Philipp Schwemmer, Aurélien Besnard

“…This flexible framework can be generalised to include diverse data on migration movements, population structure, individual heterogeneity or environmental variables, allowing further investigation of the interaction between migration patterns and population dynamics.…”
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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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Corticosteroid treatment prediction using chest X-ray and clinical data by Anzhelika Mezina, Samuel Genzor, Radim Burget, Vojtech Myska, Jan Mizera, Aleksandr Ometov

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scFocus: Detecting branching probabilities in single-cell data with SAC by Chunlin Chen, Zeyu Fu, Jiajia Yang, Huaqing Chen, Jiabao Huang, Shitian Qin, Chuhuai Wang, Xiaoqian Hu

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Dying in Darkness: Deviations From Data Sharing Ethics in the US Public Health System and the Data Genocide of American Indian and Alaska Native Communities by Cason D Schmit, Meghan Curry O’Connell, Sarah Shewbrooks, Charles Abourezk, Fallon J Cochlin, Megan Doerr, Hye-Chung Kum

“…These practices represent a source of structuralized violence throughout the US public health system that contributes to the data genocide of American Indian and Alaska Native populations. …”
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Innovative Solutions for Oil Well Monitoring: Data-Driven Multiphase Virtual Flow Metering Using Ensemble Machine Learning and Historical Field Data by Wael A. Farag, Hussein H. Ismail, Muhammad Nadeem

“…By combining data-driven ensemble machine-learning algorithms and historical oil field portable test reports, this paper proposes a Data-Drive Multiphase Virtual Flow Meter (DD-MVFM) that estimates oil, gas, and water flow rates and provides real-time monitoring, and predicts future production with appropriate accuracy. …”
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Exploring the benefits of participatory action research to a participatory data stewardship community project: the Round ‘Ere case study on data and well-being by Emily S. Rempel, Gianfranco Polizzi, Simeon Yates

“…We explore the usefulness of adapting a PAR methodology to develop a Participatory Data Stewardship (PDS) program at the community level.MethodsThrough repeated, semi-structured interviews, we tracked 15 Community Researchers' (CRs') experiences and perspectives of taking part in a PDS/PAR project. …”
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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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Design of a TSR-based project learning strategy for biochemistry undergraduate teaching and research labs: a case study by Camille R. Reaux, Shelby A. Meche, Jordan M. Grider, Soundharya Dhanabal, Tarikul I. Milon, Feng Chen, Wu Xu

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AI-Driven Advancements in Bioinformatics: Transforming Healthcare and Science by Sunil Namdev Thitame, Ashwini Ashok Aher

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