Unlocking the power of global collaboration: building a stronger evidence ecosystem together
Notice bibliographique
Résumé
Across the global evidence ecosystem, numerous organizations share a common vision and mission: to promote evidence-based decision-making worldwide. These organizations, including JBI, the Cochrane Collaboration, and the Campbell Collaboration, have each made an indelible imprint on the evidence-based movement and have been identified as “a crucial mechanism to facilitate the synthesis, transfer, and implementation of evidence into health care policy and practice.”1(p.211) While the benefits of global collaboration have been well established for some time, achieving impact at scale will require a fundamental shift in mindset. The COVID-19 pandemic marked a turning point for evidence-based health care and decision-making. It provided a unique context whereby policymakers, health care providers, researchers, and the public required immediate access to trustworthy evidence to make decisions. We collectively faced major challenges in translating a rapidly evolving body of new evidence into tangible response efforts, with health policy decisions receiving unprecedented public attention. The “stress test” of COVID-19, and the many post-pandemic initiatives that followed, highlighted the need for more effective strategies, institutional mechanisms, and capacities to systematically mobilize and contextualize the best available evidence for rapid decision-making for effective and equitable public health responses.2–4 Each of our organizations responded to COVID-19 in different ways and were able to provide access to reliable evidence. Yet, it is essential to acknowledge the challenges of sustaining funding, upholding methodological rigor, and ensuring diversity and inclusivity in our collective endeavors. Our demonstrated success in enhancing global health care, education, and social policy underscores the value of collaborative, evidence-based approaches in addressing the world’s most pressing challenges. We find ourselves at a unique juncture where our respective global collaborative evidence networks (JBI, Cochrane, and Campbell) must reimagine the way we work together to facilitate and engage in multidisciplinary, transdisciplinary, and interdisciplinary research, dissemination, knowledge sharing, and knowledge translation to generate impact at scale across the evidence ecosystem. It is time to develop interagency collaboration as a coherent program rather than a series of standalone efforts. There is significant potential in our ability to orchestrate, integrate, coordinate, and align our activities to identify opportunities for mutual benefit, learning, and impact. A call to action One of the most significant benefits of our respective global networks is our capacity to transcend geographic boundaries. By facilitating better global interagency collaboration, we enable the pooling of expertise and knowledge in the field of evidence-based practice, and the result is a more holistic and nuanced understanding of complex issues, leading to improved decision-making at both local and global levels. Examples of this may include much deeper collaboration on methodologies and standards for synthesis that reflect the diversity of evidence to respond to global challenges; a more coordinated approach to the prioritization of synthesis efforts to avoid duplication of effort; and better, more meaningful partnership on the contextualization or localization of evidence for policy and practice. Going forward, it is incumbent upon us to support and strengthen our networks and the relationships between them, recognizing the invaluable contributions we can collectively make to improving the well-being of individuals and communities around the world. The path to a brighter, more evidence-based future lies in continued collaboration and our unwavering commitment to the delivery of trustworthy evidence. Collaboration across our global networks, not just within them, is now not merely a choice but a necessity in our increasingly interconnected 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 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 | 0,022 | 0,076 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».