Academic Libraries Report Minimal Standardization and Oversight of LibGuide Content
Notice bibliographique
Résumé
A Review of: Logan, J., & Spence, M. (2021). Content strategy in LibGuides: An exploratory study. The Journal of Academic Librarianship, 47(1), Article 102282. https://doi.org/10.1016/j.acalib.2020.102282 Abstract Objective – To determine what strategies academic libraries use to govern creation and maintenance of their LibGuides. Design – Online survey questionnaire. Setting – A selection of academic libraries that use Springshare’s LibGuide system, mainly in the United States and Canada. Subjects – Academic libraries with administrator level access to LibGuides at 120 large and small, private and public schools. Methods – Researchers made their online questionnaire available on a Springshare lounge and recruited participants through electronic mailing lists. Respondents were self-selected participants. The survey consisted of 35 questions, including several about their institution’s size and type, the number of LibGuides available through their library, and how their guides are created and reviewed. There was space available for comments. The survey stated that the researchers’ goal is to complete an “environmental scan of content strategies” in LibGuides at academic institutions. Main Results – Of the 120 responding institutions, 88% are located in either the United States or Canada and 53% reported that they do have content guidelines for LibGuide authors. Content guidelines might include parameters for topics, target audiences, or purpose. Parameters for structural elements, including page design, content reuse policies, naming conventions, and navigation, were most commonly represented at those institutions that reported having guidelines. Seventy-seven percent of respondents reported that their LibGuides do not go through a formal review process prior to publication. Regarding LibGuide maintenance, 58% reported that LibGuides are reviewed as needed, while 27% indicated a more systematic approach. In most cases, the LibGuide reviewer is the author, though sometimes a LibGuide administrator may take on a review role. The most common considerations for LibGuide review are currency, accuracy, usage, and consistency. Of the responding institutions, 74% reported that they do not conduct any user testing of their guides. Two of the biggest barriers to introducing and maintaining LibGuide guidelines identified in the survey were lack of time and a sense of librarian ownership over content and workflow. The strong culture of academic freedom may make some librarians resistant to following institutional guidelines. Survey respondents noted that, where content guidelines are present, they tend to address “low hanging fruit” issues, such as page design and naming conventions, rather than more complex issues around tone and messaging. Conclusion – Content creators tend to have many competing priorities, so a workflow and guideline system might help librarians spend less time on their guides. Despite a large amount of research on LibGuide best practices regarding content strategy, few institutions seem to be taking systematic steps to implement them. Further research examining the experiences of LibGuide authors and administrators and on the effectiveness of content strategy practices is necessary.
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 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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,398 |
| 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, 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 ».