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Enregistrement W2770787534 · doi:10.5281/zenodo.1215014

Next Generation Repositories: Behaviours And Technical Recommendations Of The Coar Next Generation Repositories Working Group

2017· article· en· W2770787534 sur OpenAlexaff
Elóy Rodrigues, Andrea Bollini, Alberto Cabezas, Donatella Castelli, Leslie Carr, Leslie Chan, Chuck Humphrey, Rick Johnson, Petr Knoth, Paolo Manghi, Lazarus Matizirofa, Pandelis Perakakis, Jochen Schirrwagen, Daisy Selematsela, Kathleen Shearer, Paul Walk, David Wilcox, Kazu Yamaji

Notice bibliographique

RevuePUB – Publications at Bielefeld University (Bielefeld University) · 2017
Typearticle
Langueen
DomaineComputer Science
ThématiqueResearch Data Management Practices
Établissements canadiensNova Scotia Health Research FoundationPortage CollegeUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésGroup (periodic table)Computer scienceWorld Wide Web

Résumé

récupéré en direct d'OpenAlex

The widespread deployment of repository systems in higher education and research institutions provides the foundation for a distributed, globally networked infrastructure for scholarly communication. However, repository platforms are still using technologies and protocols designed almost twenty years ago, before the boom of the Web and the dominance of Google, social networking, semantic web and ubiquitous mobile devices. This is, in large part, why repositories have not fully realized their potential and function mainly as passive recipients of the final versions of their users’ conventionally published research outputs. In order to leverage the value of the repository network, we need to equip it with a wider array of roles and functionalities, which can be enabled through new levels of web-centric interoperability. In April 2016, COAR launched the Next Generation Repositories Working Group to identify the core functionalities for the next generation of repositories, as well as the architectures and technologies required to implement them. This report presents the results of work by this group over the last 1.5 years. Our vision is to position repositories as the foundation for a distributed, globally networked infrastructure for scholarly communication, on top of which layers of value added services will be deployed, thereby transforming the system, making it more research-centric, open to and supportive of innovation, while also collectively managed by the scholarly community.” The next generation repository... manages and provides access to a wide diversity of resources, including published articles, pre-prints, datasets, working papers, images, software, and so on. is resource-centric, making resources the focus of its services and infrastructure is a networked repository. Cross-repository connections are established by introducing bi-directional links as a result of an interaction between resources in different repositories, or by overlay services that consume activity metadata exposed by repositories is machine-friendly, enabling the development of a wider range of global repository services, with less development effort is active and supports versioning, commenting, updating and linking across resources The Next Generation Repositories Working Group has explicitly focused on the generic technologies required by all repositories to support the adoption of common behaviours. However, we also recognize that there are other technologies and standards that may be useful for specific content types or disciplinary communities. This report describes 11 new behaviours, as well as the technologies, standards and protocols that will facilitate the development of new services on top of the collective network, including social networking, peer review, notifications, and usage assessment. Exposing Identifiers Declaring Licenses at a Resource Level Discovery through Navigation Interacting with Resources (Annotation, Commentary and Review) Resource Transfer Batch Discovery Collecting and Exposing Activities Identification of Users Authentication of Users Exposing Standardized Usage Metrics Preserving Resources The behaviours and technologies in this report are a snapshot of the current status of technology, standards and protocols available, but we are aware that technologies will continue to evolve. To that end, we will soon be publishing the behaviours and technologies in a GitHub repository to support updates, as well as enabling greater input and engagement with the broader community as technologies evolve or new technologies come onto the scene. In conclusion, the distributed network of repositories can and should be a powerful tool to promote the transformation of the scholarly communication ecosystem, making it more research-centric, innovative, while also managed by the scholarly community. However, this vision rests on the notion that repositories behave (or function) in common ways, and interact with external services in the same manner. As such, it is important that the technologies, standards and protocols defined here are widely accepted and adopted by repositories around the world.

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)0,092
score de la tête « metaresearch » (Gemma)0,086
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Méthodes · Signal consensuel: aucune
Score de désaccord entre enseignants0,964
Score d'incertitude au seuil0,488

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0920,086
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0080,009
Études des sciences et des technologies0,0110,006
Communication savante0,0360,054
Science ouverte0,0060,016
Intégrité de la recherche0,0140,012
Charge utile insuffisante (le modèle a refusé de juger)0,0180,016

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 Opus0,149
Tête enseignante GPT0,291
Écart entre enseignants0,142 · 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'étudeSans objet
Domainenon disponible
GenreMéthodes

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

En bref

Citations32
Publié2017
Routes d'admission1
Résumé présentoui

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