Results 251 to 260 of about 25,162,578 (291)
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2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
In this paper, we propose two architectures for curating PDB data to improve its quality. The first one, PDB Data Curation System, is developed by adding two parts, Checking Filter and Curation Engine, between User Interface and Database. This architecture supports the basic PDB data curation.
Yan Chao Wang, Rajshekhar Sunderraman
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In this paper, we propose two architectures for curating PDB data to improve its quality. The first one, PDB Data Curation System, is developed by adding two parts, Checking Filter and Curation Engine, between User Interface and Database. This architecture supports the basic PDB data curation.
Yan Chao Wang, Rajshekhar Sunderraman
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Big data curation framework: Curation actions and challenges
Journal of Information Science, 2022Big data curation represents an emerging topic of inquiry but still in an early phase along its adoption curve. The term big data itself is a nebulous concept, and the differences between small data curation and big data curation are nuanced. The goal of this research is to provide a theoretical framework that identifies big data curation actions and ...
Ayoung Yoon +2 more
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Digital Data Curation Essentials for Data Scientists and Data Curators and Librarians
Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries, 2015This paper describes a detailed description of a full-day data digital curation tutorial held at JCDL'15.
Helen R. Tibbo, Carolyn Hank
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Automatically Curated Data Sets
2019 19th International Working Conference on Source Code Analysis and Manipulation (SCAM), 2019o validate hypotheses and tools that depend on the semantics of software, it is necessary to assemble, prepare and maintain (i.e. curate) large, high-quality corpora of executable software systems exhibiting certain desired behavior and/or properties. Today this is a highly tedious and laborious activity requiring significant human time and effort.
Kessel, Marcus, Atkinson, Colin
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The Importance of Data Curation for Data Physicalization
Companion Publication of the 2020 ACM Designing Interactive Systems Conference, 2020Creating physicalizations requires a high amount of decision taking, in particular in selecting and staging the data to be conveyed, which can be challenging. We give insight into the process of conceptualizing and building physical representations of data.
Hannes Waldschütz, Eva Hornecker
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IRTA Data Curation Checklist for Curators
2023The Data Curation Checklist for curators is a practical guide for data curators to ensure that all datasets submitted to multidisciplinary repositories are consistent to be shared and reproduced following the FAIR practices. This work document follows the data curation best practices from DCN CURATED Steps (produced by Data Curation Network).
Reverté, Carmen, Bonay Giner, Enric
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Data Curation with a Focus on Reuse
Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016A dataset from the field of High Performance Computing (HPC) was curated with the focus on facilitating its reuse and to appeal to a broader audience beyond HPC specialists. At an early stage in the research project, the curators gathered requirements from prospective users of the dataset, focusing on how and for which research projects they would ...
Maria Esteva +4 more
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Capturing and curating published data
Proceedings of the 10th annual joint conference on Digital libraries, 2010Verifiability and reproducibility are core tenets of the scholarly communication process. For many scientific publications, however, it is often the case that supporting datasets are not preserved, even when the article text is. And when they are, it is usually as a collection of files without relationships amongst one another or to the articles with ...
Tim DiLauro +3 more
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Anatomy of Metadata for Data Curation
Journal of Data and Information Quality, 2020Real-world datasets often suffer from various data quality problems. Several data cleaning solutions have been proposed so far. However, data cleaning remains a manual and iterative task that requires domain and technical expertise. Exploiting metadata promises to improve the tedious process of data preparation, because data errors are detectable ...
Larysa Visengeriyeva, Ziawasch Abedjan
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2020
This dataset is used for the LSCI 391 Data Curation class at MSU. This dataset includes analytics on more than 7,000 apps in the Apple App Store.
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This dataset is used for the LSCI 391 Data Curation class at MSU. This dataset includes analytics on more than 7,000 apps in the Apple App Store.
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