Electronic Journals Appear to Reduce Interlibrary Lending in Academic Libraries
Notice bibliographique
Résumé
Objective – To determine the impact of electronic journals on interlibrary loan (ILL) activity. The hypothesis predicted that ILL requests would fall by approximately 10% during a four-year period, that e-journal use would increase by 10% per year and that there would be a correlation between the two. Design – Longitudinal data analysis of interlibrary loans over an eight year period from 1995 to 2003. The second part of the study is a retrospective data analysis of e-journal use from 2001-2005. Setting – The 26 largest libraries in the state of Illinois, USA; all but the Chicago Public Library are academic institutions. Subjects – 1. Journal article photocopy requests originating in the 26 libraries divided into three data sets: 1995/96, 1999/00 and 2002/03. 2. Electronic journal usage statistics from 25 libraries subscribing to packages within the EBSCOhost database for the fiscal years 2001-2005. Methods –A retrospective analysis was conducted using interlibrary loan data for journal article photocopy requests either originating from or being satisfied by the 26 libraries in the study. It examined the data in three ways: the 26 libraries together, requests sent to libraries in the state of Illinois excluding the 26, and requests using libraries outside the state. The second part of the study examines usage data of electronic journals available in 25 of the 26 libraries. Main results – In the period from 1999 to 2003 a reduction in ILL requests of nearly 26% was observed within the participating 26 libraries. Analysis by broad subject discipline demonstrates that social sciences and sciences show the largest drop in requests – a 25% decrease from 1995-2003. The number of requests from an individual journal title drops significantly in science by 34% within the state and by 37% for out-of-state requests. While the humanities actually showed an increase in the number of requests, the large increase in out-of-state requests (20.6% overall between 1995 and 2003) slowed significantly with an increase of only 2.6% from 1999-2003 indicating that sources other than ILL are providing articles to this field. Nearly identical peaks and troughs in ILL requests over the three study periods demonstrate predictably consistent high and low use subject areas. Use of the e-journals collection was shown to increase at well over 10% per year. Of the most highly requested ILL titles, 46% were available as e-journals, indicating a significant lack of awareness or inability to access electronic resources among some library users. Conclusion – The hypothesis that state-wide ILL requests would decline by 10% was far surpassed. Libraries most frequently borrowed titles that were low-use and outside the scope of their collections. Titles requested more than 20 times in each study period were those least frequently borrowed, as well as least requested from outside the state, which demonstrates a cost-effective use of library resources. This indicates that libraries are judiciously providing access to high-use titles locally. All three data sets included in-state titles requested more than 20 times, as well as 18 titles requested from out of state, suggesting that they should be considered for purchase within Illinois. While access to e-journals appears to have reduced the number of ILLs, there is clearly a need for some libraries to improve the way in which they help their users access the collection.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,057 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,024 | 0,003 |
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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».