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Enregistrement W217661956

Demystifying the NIH Proposal Review Process

2007· article· en· W217661956 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueJournal of Research Administration · 2007
Typearticle
Langueen
DomaineHealth Professions
ThématiqueHealth Sciences Research and Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésExcellenceMental healthGovernment (linguistics)CurriculumEnthusiasmPolitical sciencePsychologyLibrary scienceMedical educationPedagogySociologyMedicinePsychiatry
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Introduction Victoria J. Molfese, Ph.D., holds the Ashland/ Nystrand Chair in Early Childhood Education in the University of Louisville's Center for Research in Early Childhood. Prior to this appointment, Dr. Molfese served as Director of the Office of Research Development and Administration at Southern Illinois University for 13 years and was a member of the Psychology faculty. She was elected President of the Society of Research Administrators International in 1998 and has held SRA's Distinguished Faculty designation since 2002. Dr. Molfese's research focus is on how children learn and factors that influence learning, such as children's home environments and family background characteristics; how schools, teachers, and curriculum influence learning in preschoolers; and how to assess evidence of learning in children from infancy through early elementary grades. Her research has been supported by grants from private and government agencies, including the March of Dimes, the National Institutes of Health (NIH), and the U.S. Department of Education's Institute of Education Science (IES). She has served as a peer reviewer on several study sections, including review panels for the IES, NIH, NIMH (National Institute of Mental Health), the International Dyslexia Association, the National Foundation/March of Dimes, Networks of Centers of Excellence of Canada, the Ontario Mental Health Foundation, and the U.S. Department of Agriculture. In this article, Dr. Molfese answers a series of questions developed by the co-authors to reveal the interpersonal dynamics of an NIH study section and the nitty-gritty details of how an NIH proposal is reviewed. Dr. Molfese's voice of experience as an active researcher and distinguished research administrator provides a candid insider's view of this often mysterious process. Question: You have served as a principal investigator (PI) as well as a research administrator (RA). How do these two roles differ? Answer: PIs are in charge of conducting a research project over which they usually have quite a bit of control--after all, they designed the project and now have a chance to conduct it using grant funds. While all projects involve unexpected events--nothing ever turns out as perfectly as we think it will--most projects tend to involve components that the PI has done before (possibly on a smaller scale) and, therefore, most of the components are familiar. An RA depends on others--PIs or prospective PIs - to set job duties in motion. Because there appear to be endless variations (or variants!) of PIs, RAs encounter projects that often are completely unfamiliar to them. Even projects that could be familiar have PIs who put their personal spin on the project, which tends to make the familiar once again unfamiliar. RA and PIs have to learn to work together with their different motivations. The RA wants to get the proposal submitted to the agency with all compliance issues resolved in plenty of time to make the deadline, while the PI wants to continually rewrite the proposal until the last possible minute to get it perfect before the submission deadline, with no worries about compliance issues. Question: When did you begin reviewing proposals for the NIH? Answer: I began reviewing in 1994, at the suggestion of a friend. I had been asking questions about how people became reviewers and learned that a person can ask NIH to consider them as a possible reviewer. So, I sent my vita and a letter of interest to my program officer, and he contacted me to be part of a standing study section dealing with projects related to childhood development. Question: How did you get selected to serve as a peer reviewer for NIH? Answer: After the initial time I requested to be a reviewer, I found that I was asked by other agencies and other branches of the same agency to be a reviewer for their proposals. Clearly, there is a mechanism by which reviewers are shared by program officers and scientific review administrators (the people who lead the proposal review sessions). …

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,056
score de la tête « metaresearch » (Gemma)0,011
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Études des sciences et des technologies
Catégories consensuellesMétarecherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,362
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0560,011
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0020,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,409
Tête enseignante GPT0,677
Écart entre enseignants0,269 · 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