Local data: A new approach to data in architecture

Faruk Can Ünal, Yüksel Demır

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Data, information and knowledge terms are often used interchangeably. The intention of this paper is to provide a better understanding to data, information and knowledge relation with a relative perspective and to explain the usage of the term data in scientific studies. In addition to that, it is aimed to develop a classification of data for architecture. When the origin of the data is investigated, it shows natural or cultural references. This relation can be used at fundamental classification of data as natural or cultural. Besides, data is inherently associated with place in architecture. In the determination of the parameters related to the place, architectural studies, site planning studies, and legal regulations in architecture and planning are evaluated to construct a data framework. Local data framework has been developed to classify data that are used in architectural design. For the use of architectural site survey, local data provides a systematic classification in relation to location. The architect can easily access the data associated with the place. This approach supports the architect in design by using the local data. This study revisits data with a new approach as local data for use in architecture.

Original languageEnglish
Pages (from-to)13-23
Number of pages11
JournalA|Z ITU Journal of Faculty of Architecture
Volume17
Issue number1
DOIs
Publication statusPublished - 2020

Bibliographical note

Publisher Copyright:
© 2020, Istanbul Teknik Universitesi, Faculty of Architecture. All rights reserved.

Funding

We acknowledge The Scientific and Technological Research Council of Turkey (TUBITAK), The Department of Science Fellowships and Grant Programs for financially supporting.

FundersFunder number
Department of Science
TUBITAK
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

    Keywords

    • Cultural data
    • Data
    • Information
    • Knowledge
    • Local data
    • Natural data

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