Establishing and sustaining authentic organizational partnerships in childhood disability research: lessons learned
Notice bibliographique
Résumé
There is an increased interest from both researchers and knowledge users to partner in research to generate meaningful research ideas, implement research projects, and disseminate research findings. There is accumulating research evidence to suggest the benefits of engaging children/youth with disabilities and their parents/families in research partnerships; however, less is known about the benefits of, and challenges to, engaging organizations as partners in research. The purpose of this commentary is to reflect on successful organizational partnership experiences from the perspectives of researchers at an internationally-recognized childhood disability research centre (CanChild), and to identify and share key ingredients for developing partnerships between organizations and academic institutions. A companion study is underway to examine partnership experiences with CanChild from the partners' perspective. Four CanChild researchers and two co-facilitators participated in a collaborative auto-ethnography approach to share experiences with organizational research partnerships and to reflect, interpret, and synthesize common themes and lessons learned. The researchers and facilitators met virtually via Zoom for 105 min. Researchers were asked to discuss the following: the formation of their organizational partnerships; if/how partnerships evolved over time; if/how partnerships were sustained; and lessons learned about benefits and challenges to building research partnerships with organizations. The meeting was recorded, transcribed verbatim, and analyzed by the facilitators to identify and synthesize common experiences and reflections. Multiple rounds of asynchronous reflection and feedback supported refinement of the final set of analytic themes. Researchers agreed that partnerships with organizations should be formed through a mutual interest, and that partnerships evolved by branching to include new organizations and researchers, while also involving trainees. Researchers identified the importance of defining roles and responsibilities of key individuals within each partnering group to sustain the partnership. Lessons learned from organizational partnerships included reciprocity between the partnering organization and academic institution, leveraging small pockets of funds to sustain a partnership over time, and building a strong rapport with individuals in a partnership. This commentary summarized lessons-learned and provided recommendations for researchers and organizations to consider when forming, growing, and sustaining research partnerships over time.
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Comment cette classification a été obtenuedéplier
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 | 0,047 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,012 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, 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 ».