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Enregistrement W2299109707 · doi:10.18438/b8233j

The Impact of Off-Site Storage on Core Special Collections Activities

2016· article· en· W2299109707 sur OpenAlexvenueno aff
Melissa J. Goertzen

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2016
Typearticle
Langueen
DomaineComputer Science
ThématiqueLibrary Collection Development and Digital Resources
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSpecial collectionsWorld Wide WebLibrary scienceWeb siteComputer scienceMicrosoft excelData collectionThe InternetSociology

Résumé

récupéré en direct d'OpenAlex

A Review of: Priddle, C., & McCann, L. (2015). Off-site storage and special collections: A study in use and impact in ARL libraries in the United States. College & Research Libraries, 76(5), 652-670. doi:10.5860/crl.76.5.652 Abstract Objective – To measure the use of off-site storage for special collections materials and to examine how this use impacts core special collections activities. Design – Survey questionnaire containing both structured and open ended questions. Follow-up interviews were also conducted. Setting – Association of Research Libraries (ARL) member institutions in the United States of America. Subjects – 108 directors of special collections. Methods – Participants were recruited via email; contact information was compiled through professional directories, web searches, and referrals from professionals at ARL member libraries. The survey was sent out on October 31, 2013, and two reminder emails were distributed before it closed three weeks later. The survey was created and distributed using Qualtrics, a research software that supports online data collection and analysis. All results were analyzed using Microsoft Excel and Qualtrics. Main Results – The final response rate was 58% (63 out of 108). The majority (51 participants, or 81%) reported use of off-site storage for library collections. Of this group, 91% (47 out of 51) house a variety of special collections in off-site storage. The criteria most frequently utilized to designate these materials to off-site storage are use (87%), size (66%), format (60%), and value (57%). The authors found that special collections directors are most likely to send materials to off-site storage facilities that are established and in use by other departments at their home institution; access to established workflows, especially those linked to transit and delivery, and space for expanding collections are benefits. In regard to core special collections activities, results indicated that public service was most impacted by off-site storage. The authors discussed challenges related to patron use and satisfaction. In regard to management and processing, directors faced challenges using the same level of staff to maintain two locations instead of one. Also, the integration of new workflows required additional oversight to ensure adequate control at all points of process. Static staffing levels and increased levels of responsibility impacted preservation and conservation activities as well. A central concern was the handling of materials by facility staff not trained as special collections professionals. In regard to the facilities themselves, a general concern was that commercial warehouses do not always provide the kind of environmental control systems recommended for storage of special collections materials. Of the total sample group, 12 participants (19%) said their institution does not use off-site storage for special collections. When asked if this may occur in the future, four directors (33%) said they anticipate off-site storage use within the next five years. Lack of space was listed as the primary motivation. Conclusion – Study findings provide evidence for what was previously known anecdotally: planning, coordinating, and managing off-site storage is a significant professional responsibility that will only grow in the future. As primary resources are integrated into research, teaching, and learning activities, the acquisition of special collections materials will continue to grow. Discussions regarding off-site storage workflows and strategic planning will continue as professionals seek compromises that meet the unique needs of acquisition, preservation, and public service.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,030
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,035
Score d'incertitude au seuil0,117

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,030
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,008
Études des sciences et des technologies0,0030,002
Communication savante0,0090,007
Science ouverte0,0020,007
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0350,005

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 Opus0,015
Tête enseignante GPT0,244
Écart entre enseignants0,229 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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