The Hitchhiker's Guide to Data in the History of Science
Bibliographic Data
| ID | 4174423 |
|---|---|
| Authors | Julia Damerow (0000-0002-0874-0092, Arizona State University), Dirk Wintergrün (Max Planck Institute for the History of Science) |
| Year | 2019 |
| Volume | 110 |
| Issue | 3 |
| Pages | 513-521 |
| Publication date | 2019-09-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Isis (JOURNAL) |
| Journal identifiers | ISSN: 0021-1753 • E-ISSN: 1545-6994 |
| Publisher | University of Chicago Press (PUBLISHER • US) |
| DOI | 10.1086/705497 |
| OpenAlex | W2970357225 |
| Language | EN |
| Citations received | 2 |
| References cited | 8 |
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
Comparability · Data collection · Data science · Data type · Information retrieval · Metadata · Process (computing · Research Data · Social science · Sociology · Subject (documents · Variety (cybernetics · World Wide Web · Artificial Intelligence · Computer Science · Environmental Monitoring and Data Management · Mathematics · Research Data Management Practices · Scientific Computing and Data Management
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |