Managing Scientific Data: New Challenges for Database Research

M. Winslett
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Abstract

The database research community's appetite for new applications has led to increased interest in the data management needs of scientists. This area encompasses a huge range of applications, extending from public repositories of observational data such as the popular Sloan Digital Sky Survey to one-of-a-kind runs of simulation codes crafted by individual scientists. In this talk, we will survey the most common data management needs found in the hard sciences, describe the new database research challenges that arise from these needs, and outline ways to address some of these challenges.
管理科学数据:数据库研究的新挑战
数据库研究界对新应用程序的需求增加了科学家对数据管理需求的兴趣。这一领域涵盖了广泛的应用,从公共观测数据存储库(如流行的斯隆数字巡天)到单个科学家编写的独一无二的模拟代码运行。在这次演讲中,我们将调查在硬科学中发现的最常见的数据管理需求,描述从这些需求中产生的新的数据库研究挑战,并概述解决这些挑战的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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