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Enregistrement W2298886116 · doi:10.18438/b8dc9p

Open Access Complements Interlibrary Loan Services, but Additional User Education is Needed

2016· article· en· W2298886116 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.
venuePublié dans une revue dont le pays d'attache est le Canada.

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2016
Typearticle
Langueen
DomaineComputer Science
ThématiqueLibrary Collection Development and Digital Resources
Établissements canadiensMount Royal University
Organismes subventionnairesnon disponible
Mots-clésInterlibrary loanComputer scienceShared resourceService (business)World Wide WebResource (disambiguation)Plug-inBusinessComputer securityOperating system

Résumé

récupéré en direct d'OpenAlex

A Review of:
 Baich, T. (2015). Open access: Help or hindrance to resource sharing? Interlending & Document Supply, 43(2), 68-75. http://dx.doi.org/10.1108/ILDS-01-2015-0003 
 
 Abstract 
 
 Objective – To examine interlibrary loan (ILL) request rates for open access (OA) materials and determine how OA may affect resource sharing. This research updates the author’s previous study. 
 
 Design – Quantitative analysis.
 
 Setting – A large, urban, public research university library system in the United States of America.
 
 Subjects – 1,557 open access ILL material requests among 23,531 total ILL requests submitted during the 2012 and 2013 fiscal years (July 2011-June 2013).
 
 Methods – The library has tracked and recorded OA requests that appear among ILL material requests since 2009. Using OCLC’s ILLiad software to manage ILL requests, they have implemented two custom routines. One routine is for open access searching on standard items, and uses software plugins to search across various open resources. All materials published prior to 1923 are treated as being in the public domain, so requests for these materials are automatically routed to this queue. The second custom routine is used for searching for OA electronic theses and dissertations, and is employed when the requested resource is not found in the library’s subscription resources. Other article requests are routed to the RapidILL service for open access availability. 
 
 Main Results – The research presented reveals that ILL requests for OA materials exhibited a steady increase year over year, while overall ILL requests decreased slightly. This finding is true both for the fiscal years reported in this study and also the years since the author’s original study in 2011 (Baich, 2012). Of the 1,557 OA requests examined, 72% (n=1,135) were for journal articles, 8% (n=125) were for books or book chapters, 9% (n=140) were for theses or dissertations, 3% (n=54) were for conference papers, and 7% (n=105) were for reports.
 
 Library staff typically fill these article requests using gold OA or green OA sources. The researcher notes the difficulty in refining by source, though confirmed that 15% of articles requested (n=170) were filled using a gold OA source, and that another 30 article requests (~2.6%) were filled with materials available in the public domain. This leads to the conclusion that the majority of article requests are filled using green OA sources. As the library also includes OA collections within its electronic resources, staff filled 13% of ILL article requests (n=152) using journals and repositories from these sources. Another 16% of article requests were filled using a combination of various online open repositories, including subject repositories (n=83), institutional repositories (n=84), or national or consortial repositories (n=16).
 
 The author includes a similar breakdown of fulfillment rates and sources for the other main categories explored – books and book chapters, theses and dissertations, conference papers, and reports – representing a combined 27% of all OA ILL requests. Regarding this content, it is noteworthy that overall open access requests for these material categories has dropped across each category when compared to the author’s previous study, with the exception of report requests, which more than doubled compared to that previous study.
 
 The study includes a brief overview of the user status for users making the various open access requests, with undergraduate students (n=283) and graduate students (n=807) combined making 70% of all requests. Subject areas are also briefly examined, with ILL requests coming from 63 different schools or departments across the library system. The top 15 are reported, with Psychology being the top requester (n=198), followed closely by Engineering & Technology (n=182). The author notes that 7 of the top 15 are STEM or health science disciplines. 
 
 Conclusion – The rate of ILL requests for OA materials shows that library users continue to struggle with information retrieval. The researcher concludes that in many cases, making an ILL request is easier for the user than completing a thorough search. Since staff resources are being redirected to fill user requests for materials that are readily available through open access, this use of staff time may have impacts on resource sharing and the library’s ability to fill ILL requests. The author identifies benefits of using OA resources, including an increased ability of staff to fulfill ILL requests, especially when providing grey literature, theses and dissertations, and conference papers and reports. Another identified benefit was the decreased turnaround time for securing materials, with immediate availability via OA saving 1.15 days to deliver materials to the user. Finally, the library estimates cost savings of over $27,000 (USD), based on estimated traditional per unit ILL costs.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCommunication savante
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,762
Score d'incertitude au seuil0,994

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0100,772
Science ouverte0,0020,002
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0070,000

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.

Tête enseignante Opus0,028
Tête enseignante GPT0,297
Écart entre enseignants0,269 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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