Metadata for units of measure in social science databases

Greene, Stephan

doi:10.1007/s007990050012

Cited by 2 publications

(1 citation statement)

References 25 publications

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“…We stress here the importance that metadata structures can be directly accessed by users. User interfaces should adopt graphical representations of metadata to assist users in formulating queries and locating data, making easier to understand a domain of data and to correctly manipulate it [27].…”

Section: Type Of Factors Methods and Tools For Evaluationmentioning

confidence: 99%

Social and Cognitive Factors in the Design and Evaluation of Multimedia Systems

Gabrielli

1998

Electronic Workshops in Computing

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Multimedia information retrieval systems design is currently considered a complex task since it requires an understanding of users specific way of searching, processing and using data conveyed by different media (texts, images, videos, sounds etc.). In this work we first discuss the state of the art of research in the field of textual and visual information retrieval approaching its problems from a user-centred perspective. We then propose a general framework derived from recent studies in social and cognitive ergonomics that should prove useful to guide the design and evaluation of user-system interaction in a multimedia context. We also provide some examples of social and cognitive factors affecting both the design and the evaluation of multimedia systems interfaces, discussing them with particular reference to the field of Digital Libraries. We conclude by stressing some points of strength of our approach and by suggesting new research issues to be further investigated.

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Section: Type Of Factors Methods and Tools For Evaluationmentioning

confidence: 99%

Social and Cognitive Factors in the Design and Evaluation of Multimedia Systems

Gabrielli

1998

Electronic Workshops in Computing

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Automated Diagnosis of Data-Model Conflicts Using Metadata

Chen

Altman

1999

Journal of the American Medical Informatics Association

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The authors describe a methodology for helping computational biologists diagnose discrepancies they encounter between experimental data and the predictions of scientific models. The authors call these discrepancies data-model conflicts. They have built a prototype system to help scientists resolve these conflicts in a more systematic, evidence-based manner. In computational biology, data-model conflicts are the result of complex computations in which data and models are transformed and evaluated. Increasingly, the data, models, and tools employed in these computations come from diverse and distributed resources, contributing to a widening gap between the scientist and the original context in which these resources were produced. This contextual rift can contribute to the misuse of scientific data or tools and amplifies the problem of diagnosing data-model conflicts. The authors' hypothesis is that systematic collection of metadata about a computational process can help bridge the contextual rift and provide information for supporting automated diagnosis of these conflicts. The methodology involves three major steps. First, the authors decompose the data-model evaluation process into abstract functional components. Next, they use this process decomposition to enumerate the possible causes of the data-model conflict and direct the acquisition of diagnostically relevant metadata. Finally, they use evidence statically and dynamically generated from the metadata collected to identify the most likely causes of the given conflict. They describe how these methods are implemented in a knowledge-based system called GRENDEL and show how GRENDEL can be used to help diagnose conflicts between experimental data and computationally built structural models of the 30S ribosomal subunit.

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Metadata for units of measure in social science databases

Cited by 2 publications

References 25 publications

Social and Cognitive Factors in the Design and Evaluation of Multimedia Systems

Social and Cognitive Factors in the Design and Evaluation of Multimedia Systems

Automated Diagnosis of Data-Model Conflicts Using Metadata

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