MétaCan
Menu
Retour à la cohorte
Enregistrement W1492479987 · doi:10.18438/b8qw4r

Doctoral Students in New Zealand Have Low Awareness of Institutional Repository Existence, but Positive Attitudes Toward Open Access Publication of Their Work

2012· article· en· W1492479987 sur OpenAlexvenueno aff
Theresa Arndt

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2012
Typearticle
Langueen
DomaineDecision Sciences
Thématiquescientometrics and bibliometrics research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNonprobability samplingAxial codingPsychologyMedical educationGrounded theoryQualitative researchSociologyTheoretical samplingMedicineSocial sciencePopulation

Résumé

récupéré en direct d'OpenAlex

Objective – To investigate doctoral students' knowledge of and attitudes toward open access models of scholarly communication and institutional repositories, and to examine their willingness to comply with a mandatory institutional repository (IR) submission policy. Design – Mixed method, sequential exploratory design. Setting – A large, multi-campus New Zealand university that mandates IR deposit of doctoral theses. Subjects – Two doctoral students from each of four university colleges were interviewed. All 901 doctoral students were subsequently sent a survey, with 251 responding. Methods – Semi-structured interviews with eight subjects selected by purposive sampling, followed by a survey sent to all doctoral students. The authors used NVivo 8 for analysis of interview data, along with a two-phase approach to coding. First, they analyzed transcripts from semi-structured interviews line-by-line to identify themes. In the second phase, authors employed focused coding to analyze the most common themes and to merge or drop peripheral themes. Themes were mapped against Rogers' diffusion of innovation theory and social exchange theory constructs to aid interpretation. The results were used to develop a survey with a fixed set of response choices. Authors then analyzed survey results using Excel and SurveyMonkey, first as a single data set and then by discipline. Main Results – The authors found that general awareness of open access was high (62%), and overall support for open access publication was 86.3%. Awareness of IRs as a general concept was much lower at 48%. Those subject to a mandatory IR deposit policy for doctoral theses overwhelmingly indicated willingness to comply (92.6%), as did those matriculating prior to the policy (83.3%), although only 77.3% of all respondents agreed that deposit should be mandatory. Only 17.6% of respondents had deposited their own work in an IR, while 31.7% reported directly accessing a repository for research. The greatest perceived benefits of IR participation were removal of cost for readers, ease of sharing research, increased exposure and citing of one's work, and professional networking. The greatest perceived risks were plagiarism, loss of ability to publish elsewhere, and less prestige relative to traditional publication. The reason most given for selecting a specific publication outlet was recommendation of a doctoral supervisor. Disciplinary differences in responses were not sizable. For additional interpretation, the authors applied Rogers’s diffusion of innovations theory to determine the extent to which IRs are effective innovations. The authors posit that repositories will become a more widely adopted innovations as awareness of IRs in general increases, and through increased awareness that IR content is discoverable through major search engines such as Google Scholar, thus improving usability and increasing dissemination of research. Using the social exchange theory framework, the authors found that respondents’ expressed willingness to deposit their work in IRs demonstrated altruistic motives for sharing their research freely with others, appreciation for the reciprocity of gaining access to others’ research, and awareness of the potential direct reward of having their work cited more often. Conclusion – Authors identified that lack of awareness, rather than resistance to deposit, as the main barrier to IR depository participation. Major benefits perceived for participating included the public good of knowledge sharing and increased exposure for one’s work. Concerns included copyright and plagiarism issues. These findings have implications for communication and marketing campaigns to promote doctoral students' deposit of their work in institutional repositories. While respondents reported low direct use of IRs for conducting research, the vast majority reported using Google Scholar, and so may have unknowingly accessed open access repository content. This finding suggests that attention be given to enhanced metadata for optimizing discoverability of IR content through general search engines.

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)0,016
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante, Science ouverte
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,999
Score d'incertitude au seuil0,147

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,016
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,003
Études des sciences et des technologies0,0020,002
Communication savante0,0030,002
Science ouverte0,0010,003
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0130,002

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 Opus0,425
Tête enseignante GPT0,540
Écart entre enseignants0,115 · 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.

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

Citations1
Publié2012
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueEvidence Based Library and Information PracticeMême sujetscientometrics and bibliometrics researchTravaux en français237 207