日時：2024年7月20(金)
場所：フィリピン ケソン
Asian Center and the School of Economics, University of the Philippines, Diliman, Quezon City
国際会議名：SEASIA 2024: De/Centering Southeast Asia（the 5th SEASIA Biennial International Conference）
＊国際会議の報告は、京都大学東南アジア地域研究研究所HP、SEASIA Consortium HP 参照
プログラム：Day 3 Parallels Session 7 Room 2: Politics and Social Media
タイトル：”Database Framework for Small-scale Datasets: Some Cases on Field Survey Data Collected in Area Studies in Southeast Asia”
発表者：京都大学東南アジア地域研究研究所・木谷公哉、神谷俊郎
概要
The data collected in field research of area study surveys by a single researcher is usually a few hundred to a few thousand. This amount is too small to conduct analytical research using the latest digital technologies, such as big data. On the other hand, it is too costly to build and maintain a database for such a small amount of data. Even if one tries to extract data from a database developed in the past and reuse it or migrate to a new database, what has been built will quickly become unusable unless it is sustainable to use in the first place. Thus, many challenges must be overcome before valuable small-scale data can be fully utilized and publicly available. In this presentation, we illustrate some case studies of building a database of small data sets by using a general cloud system.
報告
国内会議「SEASIA 2024: De/Centering Southeast Asia」において、東南アジア逐次刊行物総合目録データベースに関するプロジェクトを含む小規模データセットを用いたデータベースフレームワークについて発表しました。