Towards a Sustainable and Collaborative Data Model for Periodical Studies
Bibliographic Data
| ID | 12605000 |
|---|---|
| Authors | Jasper Schelstraete (0000-0003-3117-3572, Ghent University, corresponding author), Marianne Van Remoortel (0000-0002-1656-9395, Ghent University) |
| Year | 2018 |
| Volume | 25 |
| Issue | 3 |
| Pages | 336-354 |
| Publication date | 2018-06-18 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Media History (JOURNAL) |
| Journal identifiers | ISSN: 1368-8804 • E-ISSN: 1469-9729 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/13688804.2018.1481374 |
| OpenAlex | W2777533330 |
| Language | EN |
| Citations received | 4 |
| References cited | 17 |
This article advocates the development of a sustainable, structured, and open data model for periodical research. Considering the recent digital turn in periodical studies, it argues that a data model embracing Linked Open Data practices will not only facilitate collaboration among periodical scholars across language boundaries but also contribute to a better understanding of what periodicals are and how the relationships among periodicals may evolve over time. By way of illustration, the article presents the data model developed in the context of an ongoing five-year research project on women editors and their periodicals in early-eighteenth- to early-twentieth-century Europe
Context (archaeology · Data science · Engineering ethics · Open data · Political science · Sociology · Sustainable development · World Wide Web · Authorship Attribution and Profiling · Computer Science · Digital Humanities and Scholarship · Engineering · History · Law · Philippine History and Culture
| Citations per year | 0.8 |
|---|---|
| Citation span | 2021 - 2026 (6) |
| Highly cited | No |