The Majority of High-Impact Science Journals Would Accept Manuscripts Derived from Open Access Electronic Theses and Dissertations
Notice bibliographique
Résumé
A Review of:
 Ramírez, M. L., McMillan, G., Dalton, J. T., Hanlon, A., Smith, H. S., & Kern, C. (2014). Do open access electronic theses and dissertations diminish publishing opportunities in the sciences? College & Research Libraries, 75(6), 808-821. http://dx.doi.org/10.5860/
 crl.75.6.808 
 
 Abstract 
 
 Objective – To assess science journal publishers’ attitudes and policies regarding open access electronic theses and dissertations (ETDs).
 
 Design – Survey questionnaire.
 
 Setting – Science journal publications.
 
 Subjects – Editorial team members from 290 high-impact science journals. 
 
 Methods – The 16,455 science journals listed in the 2005-09 Thompson Reuter’s Journal Performance Indicators (JPI) were identified as the base population for this study. The top five journals, as ranked by relative impact factor, from each of the 171 JPI-defined science disciplines were selected for the sampling frame. After the removal of duplicates, defunct titles, and pretest participants, the 715 resulting journals were grouped into 14 broader subject groups defined by the researchers. Randomized systematic sample was then employed to select a final sample size of 300 journals. Ten additional titles were later removed due to publication scope.
 
 Email invitations to participate in the survey were sent to the selected journals on August 9, 2012. After two email reminders, the web survey closed on August 27. Six phone follow-ups were made to a random sample of 100 out of the 246 non-responders between September 7 and 14 to increase the response rate.
 
 Main Results – The final response rate for the survey was 24.8% (72 out of 290), and the findings had an 11.5% margin of error with 95% confidence interval. 
 
 Only 12.5% of the journals surveyed indicated they would “never accept” manuscripts derived from open access ETDs, while 51.4% indicated revised EDTs are “always welcome.” The rest of the respondents had some acceptance restrictions, including case-by-case review (19.4%), accept only if the content differs significantly from the original (8.3%), accept or only if access to the original ETD was limited (1.4%). Five of the 72 respondents (6.9%) did not have a policy for accepting ETDs. Of the 17 researcher-created discipline categories, Engineering titles had the highest (85.7%, or 12 out of 14) and Medical journals had the lowest (25%, or 3 out of 14) proportion of respondents who would “always welcome” manuscripts derived from open access ETDs.
 
 At least 50% of the journals from every type of publishing entity indicated they would “always welcome” revised ETDs. However, there are differences between the entities: University Presses were most likely to “always welcome” revised ETDs (87.5%), Commercial Publishers were more likely to have some acceptance restrictions (41.7%), and Academic Societies were the most likely entity to “never welcome” revised ETDs (12.7%). 
 
 Lastly, in a comparison of the results of this study with the results from a similar 2013 study conducted on social science, arts and humanities (SS&H) journals, the authors found statistically significant differences (p=0.025, α=0.05) between the editorial policies regarding revised ETDs of science and SS&H journals. 
 
 Conclusion – The study results suggest that, contrary to common perceptions, the majority of high-impact science journals would actually welcome revised open access ETDs submissions. Therefore, science scholars would not greatly reduce their chances for publishing manuscripts derived from EDTs by making the original ETDs accessible online.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,019 | 0,150 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,006 | 0,047 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,035 | 0,431 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».