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Machine‐readable universal data format for bidirectional reflectance distribution function and BiRDview —An open‐source web‐based application for viewing and comparing bidirectional reflectance data
Author(s) -
Lanevski Dmitri,
Ferrero Alejandro,
Perales Esther,
Manoocheri Farshid,
Ikonen Erkki
Publication year - 2022
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/col.22790
Subject(s) - json , bidirectional reflectance distribution function , computer science , disk formatting , interoperability , source code , database , file format , data format , world wide web , information retrieval , reflectivity , programming language , operating system , computer hardware , physics , optics
Modern studies of bidirectional reflectance distribution function (BRDF) and its applications using data and machine‐driven science require formatting of BRDF data according to Findable, accessible, interoperable and reusable (FAIR) data principles. As a solution a FAIR universal BRDF file‐format based on Java Script Object Notation (JSON) is proposed. JSON principles as well as file structure are explained and examples are given. Automatic validation of universal BRDF file format is realized with the help of JSON schema. Furthermore, the source code and accompanying documentation are presented in dedicated supporting material files. It is expected that after its wide adoption, the proposed BRDF file format will enhance collaboration between different research groups and benefit machine‐driven science. The uptake is facilitated by introducing a BiRDview—a modern open‐source web‐based application for BRDF visualization.