Details
| Original language | English |
|---|---|
| Pages (from-to) | 505-516 |
| Number of pages | 12 |
| Journal | International Journal on Digital Libraries |
| Volume | 25 |
| Issue number | 3 |
| Early online date | 20 Jul 2023 |
| Publication status | Published - Sept 2024 |
Abstract
Finding a suitable open access journal to publish academic work is a complex task: Researchers have to navigate a constantly growing number of journals, institutional agreements with publishers, funders’ conditions and the risk of predatory publishers. To help with these challenges, we introduce a web-based journal recommendation system called B!SON. A systematic requirements analysis was conducted in the form of a survey. The developed tool suggests open access journals based on title, abstract and references provided by the user. The recommendations are built on open data, publisher-independent and work across domains and languages. Transparency is provided by its open source nature, an open application programming interface (API) and by specifying which matches the shown recommendations are based on. The recommendation quality has been evaluated using two different evaluation techniques, including several new recommendation methods. We were able to improve the results from our previous paper with a pre-trained transformer model. The beta version of the tool received positive feedback from the community and in several test sessions. We developed a recommendation system for open access journals to help researchers find a suitable journal. The open tool has been extensively tested, and we found possible improvements for our current recommendation technique. Development by two German academic libraries ensures the longevity and sustainability of the system.
Keywords
- Academic publishing, Open access, Paper submission, Recommendation system, Scholarly journals
ASJC Scopus subject areas
- Social Sciences(all)
- Library and Information Sciences
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In: International Journal on Digital Libraries, Vol. 25, No. 3, 09.2024, p. 505-516.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Comparing different search methods for the open access journal recommendation tool B!SON
AU - Entrup, Elias
AU - Eppelin, Anita
AU - Ewerth, Ralph
AU - Hartwig, Josephine
AU - Tullney, Marco
AU - Wohlgemuth, Michael
AU - Hoppe, Anett
N1 - Publisher Copyright: © The Author(s) 2023.
PY - 2024/9
Y1 - 2024/9
N2 - Finding a suitable open access journal to publish academic work is a complex task: Researchers have to navigate a constantly growing number of journals, institutional agreements with publishers, funders’ conditions and the risk of predatory publishers. To help with these challenges, we introduce a web-based journal recommendation system called B!SON. A systematic requirements analysis was conducted in the form of a survey. The developed tool suggests open access journals based on title, abstract and references provided by the user. The recommendations are built on open data, publisher-independent and work across domains and languages. Transparency is provided by its open source nature, an open application programming interface (API) and by specifying which matches the shown recommendations are based on. The recommendation quality has been evaluated using two different evaluation techniques, including several new recommendation methods. We were able to improve the results from our previous paper with a pre-trained transformer model. The beta version of the tool received positive feedback from the community and in several test sessions. We developed a recommendation system for open access journals to help researchers find a suitable journal. The open tool has been extensively tested, and we found possible improvements for our current recommendation technique. Development by two German academic libraries ensures the longevity and sustainability of the system.
AB - Finding a suitable open access journal to publish academic work is a complex task: Researchers have to navigate a constantly growing number of journals, institutional agreements with publishers, funders’ conditions and the risk of predatory publishers. To help with these challenges, we introduce a web-based journal recommendation system called B!SON. A systematic requirements analysis was conducted in the form of a survey. The developed tool suggests open access journals based on title, abstract and references provided by the user. The recommendations are built on open data, publisher-independent and work across domains and languages. Transparency is provided by its open source nature, an open application programming interface (API) and by specifying which matches the shown recommendations are based on. The recommendation quality has been evaluated using two different evaluation techniques, including several new recommendation methods. We were able to improve the results from our previous paper with a pre-trained transformer model. The beta version of the tool received positive feedback from the community and in several test sessions. We developed a recommendation system for open access journals to help researchers find a suitable journal. The open tool has been extensively tested, and we found possible improvements for our current recommendation technique. Development by two German academic libraries ensures the longevity and sustainability of the system.
KW - Academic publishing
KW - Open access
KW - Paper submission
KW - Recommendation system
KW - Scholarly journals
UR - http://www.scopus.com/inward/record.url?scp=85165307615&partnerID=8YFLogxK
U2 - 10.1007/s00799-023-00372-3
DO - 10.1007/s00799-023-00372-3
M3 - Article
AN - SCOPUS:85165307615
VL - 25
SP - 505
EP - 516
JO - International Journal on Digital Libraries
JF - International Journal on Digital Libraries
SN - 1432-5012
IS - 3
ER -