Academics are Reading More Electronic Journal Articles in More Subjects, Using Varying Strategies to Find and Manage Them
Notice bibliographique
Résumé
Objective – To assess how the increase in number of electronic journals available to academic scholars has changed their information-seeking or consulting behaviour, with respect to 1) the amount and diversity of sources they read; 2) strategies they use to keep up-to-date in their fields; 3) use of personalized information services; 4) determining the value and relevance of articles; and 5) personal management of scientific information. This study is a follow-up to an earlier quantitative study (Borrego, Anglada, Barrios, & Comellas, 2007) in the same setting.
 
 Design – Qualitative, using an open-ended questionnaire, followed by personal interviews of a small group of the respondents.
 
 Setting – Universities that are members of the Consortium of Academic Libraries of Catalonia (CBUC), which is made up of the eight public Catalan universities and the National Library of Catalonia, Spain.
 
 Subjects – One hundred thirty-seven scholars from the member universities of diverse ages and disciplines. Eleven of these academics were selected for personal interviews.
 
 Methods – The authors used a two-staged approach to gather comments from researchers on their use of electronic journals. First, an open-ended, self-administered questionnaire (with some pre-testing done) was sent by e-mail to some 490 academics who had provided e-mail addresses in the quantitative study; 137 were returned and analyzed. Personal interviews were then conducted with 11 scholars who had given the most detailed answers in the questionnaire. Their ages ranged from 28 to 67; each was from a different discipline, and from six of the universities.
 
 Informed consent sheets (describing the study and guaranteeing anonymity) were given to the 11 interviewees. Personal interviews were conducted in the subjects’ offices by one of the authors, and lasted between 45-60 minutes. In the interview stage, the authors wanted to examine: use and assessment of the library, access to electronic information, and impact of e-resources on information behaviour. Subjects were also asked to provide three suggestions on improving access to scientific information.
 
 Main Results – The amount of reading and number of electronic journals and other sources consulted among the scholars who participated in this study has increased. Three-quarters of survey respondents consult more journals and read more articles. The scholars reported that they are grateful for the increase in electronic information and its enhanced ease of access, and are not overwhelmed by it. Their reading has become more discriminatory, though, with many reporting “skimming” much of what they read to save time. Scholars keep up-to-date in three main ways: web browsing of journal issues, library database searches, and TOC e-mail alerts. More than 90% of survey respondents reported conducting database searches. Google and Google Scholar were often mentioned ahead of specific library database names. In determining value and relevance of an article, its author and abstract are key for scholars. In addition, personal information management techniques used by scholars were all over the board. The three main methods were use of print or electronic folders, reference management software, and no system. Many of the academics felt their information management systems were “rudimentary” (p. 225).
 
 The request for suggestions and comments on the questionnaire was not answered by “most of the sample” (p. 226). Those who did respond to this request asked for more library resources. The main complaint expressed by scholars concerned the difficulty and complexity of finding journal article content using the Library website (e.g., varying databases, difficulty of interpreting what journal electronic and print holdings are available). Because of this, a number of scholars used Google to find library-subscribed content.
 
 Conclusion – By having greater and easier access to e-journals, scholars accessing the CBUC read more articles from more disciplines. Scholars would prefer a simpler library interface to search for online content. Due to the complexity of finding article content, they use web search tools like Google and Google Scholar to get to what they need faster. The authors of this study believe research should be conducted on the use of the Consortium’s metasearch tool to reduce the complexity. Research should also be conducted on value-added features of search interfaces for particular disciplines.
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 | 0,003 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,146 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».