Task Team to Establish and Maintain Co-operation Between IODE and Research Programmes
Notice bibliographique
Résumé
Over the last two decades, the number and complexity of international cooperative programmes has increased. We are just completing WOCE, and JGOFS, but there is the IGBP, CLIVAR, GOOS, GCOS and GTOS among others. Many of these programmes originated in the research community. Using WOCE as an example, the programme organized 13 Data Assembly Centres (DACs) whose jobs were to assemble, quality control, and prepare the data for the final archive. IODE data centres participate in 4 of these DACs while another 4 DACs (non-IODE) handle data that are also managed by many IODE data centres, thus duplicating the effort. The remainder of the DACs dealt with data outside of traditional IODE data centre responsibility. \nThe TOGA/TAO centre at PMEL is an example of a facility that started up in the research community and exists outside of an IODE data centre but which performs many elements that an IODE centre does. TOGA/TAO is a complete program carrying out scientific research, design of an observation programme, building and deploying instrumentation, archiving and disseminating data. It is often cited as a model of what the research community thinks of how a data collection and archive facility should run. \nIf IODE data centres were doing their jobs, the 4 new DACs built to handle oceanographic data in WOCE would not have been created. Likewise, the data management functions now performed by the TOGA/TAO centre would have been sited in an IODE centre. \nBy and large, IODE centres operate independently of each other. The result is that each data centre designs, builds and operates data processing routines that carry out fundamentally the same functions as done by others. Because of variations in available resources, each of these processing systems has variations, some of which enhance the quality of the data from the archives, and some that do not perform so well. The result is that what a user sees from an archive depends on which archive provided the results. Of greater concern is that the data derived from the same source but in two different archives may be different. \nThe working relationship between data centres and researchers tends to be distant. All data centres receive and process data from researchers, but few have a day-to-day working relationship with them. Data centres need scientific advice to ensure that data and information are handled by appropriate procedures. The purpose of data centres is not just to archive the data, but to be sure the data are available to users. Data value increases when additional information about the data collection is also available. Research programs are in the forefront of important uses and requirements of data. Collaboration gives data centres a clientele that is demanding and useful in recommending what needs to be done.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,079 | 0,081 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,012 | 0,006 |
| Études des sciences et des technologies | 0,009 | 0,004 |
| Communication savante | 0,018 | 0,010 |
| Science ouverte | 0,008 | 0,035 |
| Intégrité de la recherche | 0,004 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,095 | 0,102 |
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 source (Gemma direct ou Codex distillé), 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 ».