Results 261 to 270 of about 1,754,511 (314)
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Studies in health technology and informatics, 2015
The relationship between data quality and data standards has not been clearly articulated. While some directly state that data standards increase data quality, others claim the opposite. Depending on the type of data standard and the aspects of data quality considered, both arguments may in fact be correct.
Meredith Nahm, W. Ed Hammond
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The relationship between data quality and data standards has not been clearly articulated. While some directly state that data standards increase data quality, others claim the opposite. Depending on the type of data standard and the aspects of data quality considered, both arguments may in fact be correct.
Meredith Nahm, W. Ed Hammond
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The Future of Data Standards and Storage: Harnessing Data Generation into a Standardized Repository
2021Data storage and standards are often the last consideration, or given no consideration at all, when assessing human factors. Generally, objective and subjective data are collected and used for a specific purpose and then stored as needed by individual investigators. Data storage may include hard drives, hard copies, removable storage devices (e.g.
Jennifer Neugebauer-Sperlein +3 more
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IEEE Transactions on Fuzzy Systems, 2010
Data standardization is a basic task in data analysis when several incommensurable criteria are involved. This paper discusses a data-standardization method for a set of fuzzy numbers that subtracts their minimum from the number to be standardized and divides the result by the difference between their maximum and minimum.
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Data standardization is a basic task in data analysis when several incommensurable criteria are involved. This paper discusses a data-standardization method for a set of fuzzy numbers that subtracts their minimum from the number to be standardized and divides the result by the difference between their maximum and minimum.
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Data mining standards initiatives
Communications of the ACM, 2002Lacking standards for statistical and data mining models, applications cannot leverage the benefits of data mining.
Robert L. Grossman +2 more
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Research on Judicial Data Standard
2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C), 2018Judicial system will enter the information network era. Corresponding data standard in this field is urgently needed. This paper studies the formulation of judicial data standards from the definition of data requirements, the generation of data lists, the development of data standards, the approval of data standards, and the standards of data ...
Zemin Qin +4 more
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Standardization of Microarray and Pharmacogenomics Data
2006This chapter provides a bottom-up perspective on bioinformatics data standards, beginning with a historical perspective on biochemical nomenclature standards. Various file format standards were soon developed to convey increasingly complex and voluminous data that nomenclature alone could not effectively organize without additional structure and ...
Casey S, Husser +6 more
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The ATSC data broadcast Standard
Proceedings of the 2000 ACM workshops on Multimedia, 2000The Advanced Television Systems Committee (ATSC) is about to complete its data broadcast standard. This specification will enable multimedia content providers to deliver applications using the broadband channels of digital television. This specification will also enable the integration of data based information technologies and television audio-visual ...
Regis J. Crinon, Edwin A. Heredia
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The Case for Standardized Data in Nursing
Canadian Journal of Nursing Leadership, 2016With the increased focus on quality and safety within the healthcare system, the collection, reporting and use of standardized data are essential to understanding the impact of clinicians practice on patient care. This article examines how the Canadian Health Outcomes for Better Information and Care (C-HOBIC) dataset can support clinical decision ...
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Data Standardization and Quality Management
Translational Stroke Research, 2017Important questions regarding the conduct of scientific research and data transparency have been raised in various scientific forums over the last 10 years. It is becoming clear, that in spite of published RIGOR guidelines, that improvement in the transparency of scientific research is required to focus on the discovery and drug development process so ...
Paul A, Lapchak, John H, Zhang
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The need for data standards in zoomorphology
Journal of Morphology, 2013AbstracteScience is a new approach to research that focuses on data mining and exploration rather than data generation or simulation. This new approach is arguably a driving force for scientific progress and requires data to be openly available, easily accessible via the Internet, and compatible with each other.
Lars, Vogt +3 more
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