A framework for applying the concept of significant properties to datasets

Sacchi, Simone; Wickett, Karen M.; Renear, Allen H.; Dubin, David

doi:10.1002/meet.2011.14504801148

Cited by 10 publications

(6 citation statements)

References 19 publications

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“…Three groups of experts provided evaluative feedback on the DPCVocab throughout the development process. The Data Concepts team was consulted for critical semantic assessment and validation (see Sacchi, Wickett, Renear, & Dubin, , for an example of their methodological approach). We also solicited feedback from other Data Conservancy teams: the infrastructure research and development team at Johns Hopkins University reviewed technical aspects, and representatives from the science working groups provided comments and recommendations, particularly on the relationships among categories.…”

Section: Dpcvocab Development Processmentioning

confidence: 99%

Data Practices and Curation Vocabulary (DPCVocab): An empirically derived framework of scientific data practices and curatorial processes

Chao

Cragin

Palmer

2014

Asso for Info Science & Tech

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Conceptual frameworks and taxonomies are an important part of the emerging base of knowledge on the curation of research data. We present the Data Practices and Curation Vocabulary (DPCVocab), a functional vocabulary created for specifying relationships among data practices in research, types of data produced and used, and curation roles and activities. The vocabulary consists of 3 categories-Research Data Practices, Data, and Curation-with 187 terms validated through empirical studies of scientific data practices in the Earth and life sciences. The present article covers the DPCVocab development process and examines applications for mapping relationships across the 3 categories, identifying factors for projecting curation costs and important differences in curation requirements across disciplines. As a tool for curators, the vocabulary provides a framework for charting curation options and guiding systematic administration of curation services. It can serve as a shared terminology or lingua franca to support interactions and collaboration among curators, data producers, system developers, and other stakeholders in data infrastructure and services. The DPCVocab as a whole supports both the technical and the human aspects of professional curation work essential to the modern research system.

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Section: Dpcvocab Development Processmentioning

confidence: 99%

Data Practices and Curation Vocabulary (DPCVocab): An empirically derived framework of scientific data practices and curatorial processes

Chao

Cragin

Palmer

2014

Asso for Info Science & Tech

View full text Add to dashboard Cite

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“…Renear's revision of FRBR, however, does not affect the practical orientation of FRBR, as the author admittedly notices: for practical purposes, in fact, including the preservation of drama as ICH assumed by Drammar, the properties of FRBR entities can be considered fixed and their relationships taken for granted. Encoding the meaning of drama through formal ontologies, then, is in line with Renear' most recent work on preservation: [Sacchi et al 2011] proposed a model of digital preservation that relies on the distinction between propositional content and symbol structure, and on the mapping between the two. The use ontologies to represent drama con-tent is in line with this model, since they provide a powerful and formalized language for transmitting unambiguously a given propositional content across different encoding formats and supports.…”

Section: Drammar and The Documentation Of Cultural Heritagementioning

confidence: 83%

Safeguarding and Accessing Drama as Intangible Cultural Heritage

Lombardo

Pizzo

Damiano

2016

J. Comput. Cult. Herit.

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Storytelling, especially in the form called drama, is pervasive across cultures and ages. Though much attention has been devoted to the preservation of the physical supports of drama (e.g., films and tapes), there is a widespread acknowledgement that such tangible heritage is the expression of an intangible notion of drama. This paper introduces the drama as a form of intangible cultural heritage and presents a solution for its preservation in terms of a formal encoding through a computational ontology.After the review of a formal representation of drama, called Drammar, developed in previous works, we show how an abstraction of drama can be encoded into a digital item. We also show how the method proposed is compliant with the major initiatives for the documentation of cultural heritage, namely CIDOC-CRM and FRBR. Finally, we test the applicability of our solution by showing how the major tenets of two well-known theories of drama can be encoded in Drammar and presenting the results of a focus group of drama scholars and practitioners who have accessed the encoding through a visualization system. The encoding and visualization system have turned out to be a promising support for teaching and investigating drama.

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“…While it is plausible to understand all digital objects as expressing some sort of content, that content may not always be strictly propositional in nature — the content of a digital image is most likely to be characterized as a set of features a person can experience looking at the actual rendered image (Sacchi, Wickett, Renear, & Dubin, 2011b). Extending the Basic Representation Model to include digital objects with non‐propositional content remains a challenging open problem.…”

Section: Discussion and Future Workmentioning

confidence: 99%

Identifying content and levels of representation in scientific data

Wickett

Sacchi

Dubin

et al. 2012

Proc of Assoc for Info

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Heterogeneous digital data that has been produced by different communities with varying practices and assumptions, and that is organized according to different representation schemes, encodings, and file formats, presents substantial obstacles to efficient integration, analysis, and preservation. This is a particular impediment to data reuse and interdisciplinary science. An underlying problem is that we have no shared formal conceptual model of information representation that is both accurate and sufficiently detailed to accommodate the management and analysis of real world digital data in varying formats. Developing such a model involves confronting extremely challenging foundational problems in information science. We present two complementary conceptual models for data representation, the Basic Representation Model and the Systematic Assertion Model. We show how these models work together to provide an analytical account of digitally encoded scientific data. These models will provide a better foundation for understanding and supporting a wide range of data curation activities, including format migration, data integration, data reuse, digital preservation strategies, and assessment of identity and scientific equivalence.

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A framework for applying the concept of significant properties to datasets

Cited by 10 publications

References 19 publications

Data Practices and Curation Vocabulary (DPCVocab): An empirically derived framework of scientific data practices and curatorial processes

Data Practices and Curation Vocabulary (DPCVocab): An empirically derived framework of scientific data practices and curatorial processes

Safeguarding and Accessing Drama as Intangible Cultural Heritage

Identifying content and levels of representation in scientific data

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