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  1. 1001
    “…OBJECTIVE: We developed new tools that provide objective physiological and behavioral measures using wearable sensors and mobile phones, together with methods that improve their data integrity. The aim of this study was to examine, using machine learning, how accurately these measures could identify conditions of self-reported high stress and poor mental health and which of the underlying modalities and measures were most accurate in identifying those conditions. …”
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    Online Artículo Texto
    Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study
  2. 1002
    “…Feasibility outcomes included participant compliance with wearing pedometers (days with missing pedometer data), data syncing, and data integrity. Activity outcomes (step counts and active minutes) were analyzed using linear mixed models and generalized estimating equations. …”
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    Online Artículo Texto
    A Pedometer-Guided Physical Activity Intervention for Obese Pregnant Women (the Fit MUM Study): Randomized Feasibility Study
  3. 1003
    “…BACKGROUND: Allied health professionals (AHPs) engaged in research are expected to comply with Good Clinical Practice (GCP) principles to protect participant safety and wellbeing and enhance data integrity. Currently, few studies have explored health professionals’ perceptions of implementing and adhering to GCP principles in research with none of these including AHPs. …”
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    Online Artículo Texto
    “How do I keep this live in my mind?” Allied Health Professionals’ perspectives of barriers and enablers to implementing good clinical practice principles in research: a qualitative exploration
  4. 1004
    por Culina, Antica, Adriaensen, Frank, Bailey, Liam D., Burgess, Malcolm D., Charmantier, Anne, Cole, Ella F., Eeva, Tapio, Matthysen, Erik, Nater, Chloé R., Sheldon, Ben C., Sæther, Bernt‐Erik, Vriend, Stefan J. G., Zajkova, Zuzana, Adamík, Peter, Aplin, Lucy M., Angulo, Elena, Artemyev, Alexandr, Barba, Emilio, Barišić, Sanja, Belda, Eduardo, Bilgin, Cemal Can, Bleu, Josefa, Both, Christiaan, Bouwhuis, Sandra, Branston, Claire J., Broggi, Juli, Burke, Terry, Bushuev, Andrey, Camacho, Carlos, Campobello, Daniela, Canal, David, Cantarero, Alejandro, Caro, Samuel P., Cauchoix, Maxime, Chaine, Alexis, Cichoń, Mariusz, Ćiković, Davor, Cusimano, Camillo A., Deimel, Caroline, Dhondt, André A., Dingemanse, Niels J., Doligez, Blandine, Dominoni, Davide M., Doutrelant, Claire, Drobniak, Szymon M., Dubiec, Anna, Eens, Marcel, Einar Erikstad, Kjell, Espín, Silvia, Farine, Damien R., Figuerola, Jordi, Kavak Gülbeyaz, Pınar, Grégoire, Arnaud, Hartley, Ian R., Hau, Michaela, Hegyi, Gergely, Hille, Sabine, Hinde, Camilla A., Holtmann, Benedikt, Ilyina, Tatyana, Isaksson, Caroline, Iserbyt, Arne, Ivankina, Elena, Kania, Wojciech, Kempenaers, Bart, Kerimov, Anvar, Komdeur, Jan, Korsten, Peter, Král, Miroslav, Krist, Miloš, Lambrechts, Marcel, Lara, Carlos E., Leivits, Agu, Liker, András, Lodjak, Jaanis, Mägi, Marko, Mainwaring, Mark C., Mänd, Raivo, Massa, Bruno, Massemin, Sylvie, Martínez‐Padilla, Jesús, Mazgajski, Tomasz D., Mennerat, Adèle, Moreno, Juan, Mouchet, Alexia, Nakagawa, Shinichi, Nilsson, Jan‐Åke, Nilsson, Johan F., Cláudia Norte, Ana, van Oers, Kees, Orell, Markku, Potti, Jaime, Quinn, John L., Réale, Denis, Kristin Reiertsen, Tone, Rosivall, Balázs, Russell, Andrew F, Rytkönen, Seppo, Sánchez‐Virosta, Pablo, Santos, Eduardo S. A., Schroeder, Julia, Senar, Juan Carlos, Seress, Gábor, Slagsvold, Tore, Szulkin, Marta, Teplitsky, Céline, Tilgar, Vallo, Tolstoguzov, Andrey, Török, János, Valcu, Mihai, Vatka, Emma, Verhulst, Simon, Watson, Hannah, Yuta, Teru, Zamora‐Marín, José M., Visser, Marcel E.
    Publicado 2020
    “…Creating community‐specific hubs (such as ours, COMADRE for animal demography, etc.) will aid much‐needed large‐scale ecological data integration.…”
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    Connecting the data landscape of long‐term ecological studies: The SPI‐Birds data hub
  5. 1005
    “…There was timely data transfer, data integrity, tracking, real time data visualization reporting and analysis. …”
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    Micro-planning in a wide age range measles rubella (MR) campaign using mobile phone app, a case of Kenya, 2016
  6. 1006
    Publicado 2010
    Tabla de Contenidos: “…Artigas -- Mapping salt marshes in Jamaica Bay and terrestrial vegetation in Fire Island National Seashore using QuickBird satellite data / Yeqiao Wang, Mark Christiano, and Michael Traber -- Object-based data integration and classification for high-resolution coastal mapping / Jie Shan and Ejaz Hussain -- True-color digital orthophotography data for mapping coastal impervious surface areas / Yuyu Zhou and Yeqiao Wang -- FORMOSAT-2 images in mapping of South Asia tsunami disaster / Ming-Der Yang, Tung-Ching Su, and An-Ming Wu -- Remote sensing and in situ measurements for delineation and assessment of coastal marshes and their constituent species / Martha S. …”
    Libro
    Remote sensing of coastal environments /
  7. 1007
    “…Therefore, one of the most common user requirement is the possibility to backup data in order to minimize their loss, stay compliant and preserve data integrity. Implementing this feature is particularly challenging when the users come from the public administrations and the scientific communities that produce huge quantities of heterogeneous data and/or can have strict constraints. …”
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    Storage solutions for a production-level cloud infrastructure
  8. 1008
    “…This book is focused on the development of a data integration framework for retrieval of biodiversity information from heterogeneous and distributed data sources. …”
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    Data intensive computing for biodiversity
  9. 1009
    “…These technologies may be difficult to grasp for rare disease experts, leading to limited involvement by domain expertise in the data integration process. Here, we propose a data integration framework starting from the perspective of the clinical researcher, allowing for purposeful rare disease registry integration driven by clinical research questions.…”
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    Online Artículo Texto
    Overcoming challenges in rare disease registry integration using the semantic web - a clinical research perspective
  10. 1010
    “…Using the iPSYCH dataset, comprising 130,438 individuals, genotyped in two stages, on different arrays, we evaluated phasing and imputation performance across multiple phasing methods and data integration protocols. While phasing accuracy varied by choice of method and data integration protocol, imputation accuracy varied mostly between data integration protocols. …”
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    Online Artículo Texto
    Accuracy of haplotype estimation and whole genome imputation affects complex trait analyses in complex biobanks
  11. 1011
    “…Image-based data integration in eHealth and life sciences is typically concerned with the method used for anatomical space mapping, needed to retrieve, compare and analyse large volumes of biomedical data. …”
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    Online Artículo Texto
    Using image mapping towards biomedical and biological data sharing
  12. 1012
    “…While data warehousing approaches have been increasingly adopted in the biomedical informatics community for individualized data integration, effectively dealing with data integration, access, and application remains a challenging issue. …”
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    Online Artículo Texto
    Towards to an Oncology Database (ONCOD) using a data warehousing approach
  13. 1013
    “…Data integration to align cells across batches has become a cornerstone of single cell data analysis, critically affecting downstream results. …”
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    Online Artículo Texto
    Signal recovery in single cell batch integration
  14. 1014
    “…The Cancer Genome Atlas (TCGA) dataset is used to build the data integration and cancer subtyping framework. The proposed data integration and disease subtyping approach accurately identifies novel subgroups of patients with significantly different survival profiles. …”
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    Integrated Cancer Subtyping using Heterogeneous Genome-Scale Molecular Datasets
  15. 1015
    por Mao, Yi, Yang, Yi, Hu, Yuxin
    Publicado 2019
    “…In order to solve the surveillance problem in mid-and-high altitude airspace and approaching airspace, this paper proposes a filter-based covariance matrix weighting method, measurement variance weighting method, and measurement-first weighted fusion method weighting integration algorithm to improve the efficiency of data integration calculation under fixed accuracy. Besides this, this paper focuses on the technology of the integration of a multi-radar surveillance system and automated related surveillance system in the ATM system and analyzes the constructional method of a multigeneration surveillance data integration system, as well as establishing the targeted model of sensors and the target track and designing the logical structure of multi-radar and ADS data integration.…”
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    Online Artículo Texto
    Research into a Multi-Variate Surveillance Data Fusion Processing Algorithm
  16. 1016
    “…For each trait, we integrated GWAS summary statistics of close to 8 million common variants (minor allele frequency [Formula: see text] ) with either their 75 individual functional scores or their meta-scores, using three different data-integration methods. Overall, the number of new genome-wide significant findings after data-integration increases as a trait SNP-heritability estimate increases. …”
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    Integrating variant functional annotation scores have varied abilities to improve power of genome-wide association studies
  17. 1017
    “…It is widely recognized that successful data integration is one of the keys to improve productivity for stored data. …”
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    Techniques for integrating ‐omics data
  18. 1018
    “…Omics data integration is already a reality. However, few omics-based algorithms show enough predictive ability to be implemented into clinics or public health domains. …”
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    Online Artículo Texto
    Challenges in the Integration of Omics and Non-Omics Data
  19. 1019
    “…This article discusses current data integration practices in nanoinformatics and in comparable mature fields, and nanotechnology-specific challenges impacting data integration. …”
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    Online Artículo Texto
    Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations
  20. 1020
    “…RESULTS: Before considering data integration, it is necessary to evaluate the genome-wide concordance so that misleading results can be avoided. …”
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    A statistical framework for integrating two microarray data sets in differential expression analysis
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