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Images as Metadata: A New Perspective for Describing Research Data

Title
Images as Metadata: A New Perspective for Describing Research Data
Type
Article in International Scientific Journal
Year
2023-09-12
Authors
Carla Teixeira Lopes
(Author)
FEUP
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Joana Rodrigues
(Author)
FEUP
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Journal
Pages: 1-15
ISSN: 1938-6389
Publisher: Taylor & Francis
Indexing
Other information
Authenticus ID: P-00Z-359
Abstract (EN): Indispensable in many contexts, images are fundamental in the tasks of representation and transmission of information. In the scientific context, images can be tools for researchers seeking to see their data properly managed. Research data management guides in this direction as it determines necessary phases in the life cycle of projects. The description phase is fundamental as it is an essential means for data context, safeguarding, and reuse. The description often occurs through metadata models composed of descriptors capable of attributing context. However, there is one common aspect: the values associated with these descriptors are always textual or numeric. Through studies and work developed over the last few years, we propose a new approach to description, where images can have a preponderant role in the description of data, assuming the role of metadata. We present several pieces of evidence, point out their challenges and determine the opportunities this new perspective can have in the research. Images have specific characteristics that can be leveraged in improving data description. Historical evidence establish that images have always been used and produced in research, yet their representational ability has never been harnessed to describe data and give more context to the scientific process. ©, Joana Rodrigues and Carla Teixeira Lopes. Published with license by Taylor & Francis Group, LLC.
Language: English
Type (Professor's evaluation): Scientific
Documents
File name Description Size
Manuscript with author details Images as metadata: a new perspective for describing research data 865.79 KB
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