Every project in digital and computational history of science starts with the collection of data. Depending on the research project, the subject of study, and other factors, data can comprise a variety of different types, including full texts, images, audio, video, and bibliographic metadata. Publications and project reports generally describe their results and the methods and algorithms employed, but few discuss the challenges of the initial data collection process or how it fits into the overall research data life cycle. This essay discusses a concrete research data life cycle and takes a look at the difficulties it involves. It also explores the strategies and challenges of data collection and the question of the comparability of datasets.

中文翻译：

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科学史上的数据漫游指南

数字和计算科学史上的每个项目都始于数据的收集。根据研究项目、研究主题和其他因素，数据可以包含多种不同类型，包括全文、图像、音频、视频和书目元数据。出版物和项目报告通常描述他们的结果以及所采用的方法和算法，但很少讨论初始数据收集过程的挑战或它如何适应整个研究数据生命周期。本文讨论了一个具体的研究数据生命周期，并探讨了它所涉及的困难。它还探讨了数据收集的策略和挑战以及数据集的可比性问题。