Results 211 to 220 of about 1,366,867 (247)

The Importance of Data Curation for Data Physicalization

Companion Publication of the 2020 ACM Designing Interactive Systems Conference, 2020
Creating 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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Data Curation with a Focus on Reuse

Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016
A 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, Sandra Sweat, Robert T. McLay, Weijia Xu, Sivakumar Kulasekaran   +4 more
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IRTA Data Curation Checklist for Curators

2023
The 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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Capturing and curating published data

Proceedings of the 10th annual joint conference on Digital libraries, 2010
Verifiability 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, Mark Cyzyk, Elliot Metsger, Mark Patton   +3 more
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Data Curation

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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Anatomy of Metadata for Data Curation

Journal of Data and Information Quality, 2020
Real-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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CrowdCorrect: A Curation Pipeline for Social Data Cleansing and Curation

2018
Process and data are equally important for business process management. Data-driven approaches in process analytics aims to value decisions that can be backed up with verifiable private and open data. Over the last few years, data-driven analysis of how knowledge workers and customers interact in social contexts, often with data obtained from social ...
Amin Beheshti, Kushal Vaghani, Boualem Benatallah, Alireza Tabebordbar   +3 more
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Curating and Mining (Big) Data

2013 IEEE 13th International Conference on Data Mining Workshops, 2013
According to the wide development of the World Wide Web world, many peoples have tend to mention "big data'' and tried to make use of the "big data." They usually mention "big data'' as a key to the happy future. However, it will be a dream which will not be realized. In this paper, I review problems in big data. Then I propose a concept of curation to
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Data Mining in the Age of Curation

2012 IEEE 12th International Conference on Data Mining Workshops, 2012
In this paper I propose data mining considering the effect of curation in the marketing situation. Recently in the marketing or business situation, curation has been frequently considered and important. In addition, holistic communication is sometimes considered to deliver or promote products or solutions.
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Unifying data exploration and curation

Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web, 2016
Recent years have seen a surge in "self-service" business intelligence tools. These tools primarily focus on supporting decision-making by non-technical "end users", through data exploration -- the querying of data and inspection of results.Exploration, however, is only part of the story. Curation is its complement.
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