Editorial processing center — Prelude to phase III
Sarah N. Rhodes
U.S. National Science Foundation
Abstract
The EPC concept is based on sharing the use of highly automated editorial, production, marketing, and business systems by a group of publishers large enough to attain useful economies in operation. The EPC is viewed as a way to provide computer support to the publishers of many small scientific journals that are currently experiencing technical and financial difficulties. Studies directed toward generalized conclusions about the EPC, in all its organizational and economic complexities, have been supported by the National Science Foundation since 1973. Results from these projects and plans for the future are discussed.
- Journal
- IEEE Transactions on Professional Communication
- Published
- 1977-09-01
- DOI
- 10.1109/tpc.1977.6592342
- CompPile
- Open Access
- OA PDF Bronze
- Topics
- Export
- BibTeX RIS
Citation Context
Cited by in this index (0)
No articles in this index cite this work.
References (0)
No references on file for this article.
Related Articles
-
Computers and Composition Jun 2026“Article laundry” or “tutor in pocket?”: Multilingual writers’ generative AI-assisted writing in professional settings ↗Qianqian Zhang-Wu
-
Computers and Composition Jun 2026Evaluating students’ Coded animated stories as multimodal narrative composition in the middle school English curriculum ↗Len Unsworth
-
Computers and Composition Jun 2026Historicizing critical discourse about emergent tools and technologies across 40 years of Computers and Composition ↗Meghan Velez; Kara Taczak; Matthew D. Bryan
-
Computers and Composition Jun 2026Legacies, commitments, and new challenges: The Sweetland Digital Rhetoric Collaborative interviews three generations of Computers and Composition editors ↗Ali Alalem; Alyse Campbell; Thais Rodrigues Cons; Funmilola Fadairo; Nicole Koyuki Golden
-
Computers and Composition Jun 2026A quantitative, computational investigation of Computers and Composition: Using topic modeling over time to reveal patterns in textual data ↗Stuart Deets