What’s Left When It’s Over: Libraries and Digital Humanities Project Preservation
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Notice bibliographique
Résumé
This is the second paper of two from the Endings Project at the University of Victoria.The first paper, by Stewart Arneil, outlines the challenges of building a sustainable digital humanities (DH) project from the perspective of a programmer who has worked with researchers to build a number of DH project sites.This second paper, written by a librarian, considers the role of libraries as DH preservation partners.A recent special issue of Digital Humanities Quarterly, edited by the Endings Project team, provides an in-depth discussion of the many sustainability challenges faced by DH researchers (Holmes et al.).In 2018, the Endings Project undertook a survey of 127 DH projects with the goal of better understanding the various ways in which DH projects come to an end.The earliest projects represented in the survey began in the 1980s, but the vast majority were started after 2001.Of those projects, spanning a four-decade period, only 24% were considered by their principal investigators to be "complete," and only about 10% were archived in a stable, long-term environment with active preservation services ("Survey Results").As digital projects proliferate in the humanities, the question of preserving non-traditional research outputs like websites, databases, and software tools becomes a pressing one.Many researchers turn to academic libraries for solutions.A recent discussion on the Humanist listserv underscores the gap between faculty expectations and library capacity (Wall et al.).In most cases, faculty are hopeful that their libraries will adopt a project wholesale and agree to keep the entire software stack-all of the different applications and dependencies that allow the application to function-viable over the long term.This is not a scalable proposition for even very well-funded libraries.The gap between what is desired by faculty and what is sustainable for libraries creates a tension that is difficult to resolve in a way that is satisfactory to both parties.When we talk about the preservation of digital objects and platforms, we must first acknowledge that "persistence is a function of organizations, not a function of technology" (DOI Foundation).This may be a slight overstatement, because of course organizations do use technology in order to preserve digital content, but the point is that technology is just that-a set of tools that are developed and used by human beings who are funded by organizations to carry out specific functions.There is no technical design choice that will absolutely future-proof information containers, particularly over the very long term.GLAM organizations (galleries, libraries, archives, and museums) are unique in their mission to collect, organize, and store information in ways that can preserve access to knowledge over hundreds or thousands of years.The deluge of digital information raises many new questions about what should be preserved, and about how libraries can organize their limited resources to take on this work.In this paper, we will examine six different approaches to digital preservation to determine the strengths and weaknesses of each, considering both technical and resource implications.The approaches are dark archiving, preserving objects and metadata in a repository, web harvesting, emulation, preservation of dynamic/social sites, and archiving static versions.
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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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,004 | 0,006 |
| 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 découle