Use of ESBCO Discovery Tool at One University Reveals Increased Use of Electronic Collections but Decreased Use in Circulation of Print Collections
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Notice bibliographique
Résumé
A Review of:
 Calvert, K. (2015). Maximizing academic library collections: Measuring changes in use patterns owing to EBSCO Discovery Service. College & Research Libraries, 76(1), 81-99. http://dx.doi.org/10.5860/crl.76.1.81 
 
 Objective – To find out what the effects of a discovery tool are in relation to usage of print and electronic library collections, and with the aim to measure the effects in three specific areas: circulation numbers, use of electronic resources, and interlibrary loan requests.
 
 Design – Comparative quantitative analysis of usage statistics and data sets.
 
 Setting – A regional comprehensive university in the United States of America.
 
 Subjects – Usage data from a university library.
 
 Methods – The methods used were informed by three hypotheses stated at the beginning of the study. First, an analysis of usage data of e-resources tested the hypothesis that the introduction of a discovery tool would increase use of e-resources. Second, to test whether the use of print collections increased, circulation statistics including items borrowed via consortia and in-house use statistics were measured. Finally, interlibrary loan statistics from 2010 to 2013 were collated to test if the EBSCO Discovery Service (EDS) led to a decrease in interlibrary loan requests. 
 
 Main Results – The introduction of the EBSCO discovery tool resulted in increased use of EBSCOhost and other databases at the library in question. However, the library's circulation statistics decreased, with a drop of 28% of checkouts compared to the previous year. The drop is more pronounced with undergraduates, who checked out 39% fewer items after the EDS was introduced. There was a 30% decrease in requests for borrowing items from a consortia. There was insufficient data to support or refute the third hypothesis.
 
 Conclusion – The implementation of a discovery tool at one library has had both postive and negative outcomes. An increase in the use of electronic collections was observed as a positive outcome, whereas a decrease in the use of print collections was a negative outcome. Due to the findings of the study, the library revised its policy on content inclusion to the EDS. Any new content is now screened for suitability before it is included. As a changing student demographic evolves at the library, with an increase in distance and online learners, the library will grow its collection in line with their needs. The author notes that a further study is needed to examine ebook usage, and recommends that the library consider a move towards ebooks for all
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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 | 0,000 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,289 |
| Science ouverte | 0,000 | 0,000 |
| 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 découle