如何处理2亿篇报纸文章:探索人文学科的GLAM数据

Tim Sherratt
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引用次数: 0

摘要

我是一名历史学家,研究来自GLAM部门(画廊、图书馆、档案馆和博物馆)的数据。当我谈到GLAM数据时,我通常指的是报纸、政府文件、照片、信件、网站和书籍。有些内容描述良好,结构清晰,易于访问,而有些则不然。这一切都让我们有机会对过去提出新的问题,以不同的方式看待事物。但是,需要什么样的工具、什么样的例子、什么样的文档和什么样的支持来鼓励研究人员探索这些可能性——将收集作为数据进行参与?在这次演讲中,我将描述我自己在GLAM数据中的一些冒险经历,然后重点讨论访问、基础设施和技能开发的问题。特别地,我将介绍GLAM工作台——一个旨在帮助人文研究人员驾驭数据世界的工具、教程、示例和技巧的集合。我们需要什么样的途径,我们如何构建它们?
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What Can You Do With 200 Million Newspaper Articles: Exploring GLAM data in the Humanities
I’m a historian who works with data from the GLAM sector (galleries, libraries, archives and museums). When I talk about GLAM data, I’m usually talking about things like newspapers, government documents, photographs, letters, websites, and books. Some of it is well-described, structured, and easily accessible, and some is not. All of it offers us the chance to ask new questions of our past, to see things differently. But what tools, what examples, what documentation, and what support are needed to encourage researchers to explore these possibilities—to engage with collections as data? In this talk, I’ll be describing some of my own adventures amidst GLAM data, before focusing on questions of access, infrastructure, and skills development. In particular, I’ll be introducing the GLAM Workbench—a collection of tools, tutorials, examples, and hacks aimed at helping humanities researchers navigate the world of data. What pathways do we need, and how can we build them?
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