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Enregistrement W127223771

Research Ethics in 2020: Strengths, Weaknesses, Opportunities, and Threats

2011· article· en· W127223771 sur OpenAlexvenueaboutno aff
Michael McDonald, Daryl Pullman, James A. Anderson, Nina Preto, Heather Sampson

Notice bibliographique

RevueHealth law review · 2011
Typearticle
Langueen
DomaineMedicine
ThématiqueEthics in Clinical Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésResearch ethicsCorporate governancePolitical scienceContext (archaeology)BiobankStrengths and weaknessesBioethicsAccreditationPublic relationsEngineering ethicsLawPsychologyBusinessEngineering
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In this special issue of Health Law Review, it seemed especially appropriate to offer an ethics assessment of current (2010) and future state (2020) of governance for health research in Canada. It is ten years since McDonald report for Law Commission of Canada (LCC) on The Governance of Health Involving Human Subjects. (2) In last decade there have been significant developments in health research [e.g., genomics, biobanks, stem cell research, major cohort studies] and in mechanisms used to ensure adequate protection for research participants [e.g., accreditation in US, a second edition of Tri-Council Policy Statement on Ethical Conduct of Involving Humans (TCPS)], as well as significant problems reported at domestic and foreign research institutions. In addition to LCC report, there have been numerous commentaries on these developments including two special issues of HLR on research ethics governance published by our network and its precursor. (3) This paper proceeds in four parts. In introductory section, we explain what we mean by the Canadian governance for health research. We also offer a brief description of SWOT analysis, and offer a broad characterization of Canadian health research context as background for this analysis. In Part 2, we list what we see as strengths and weaknesses of our current of protection. In Part 3, we project ten years into future to consider potential opportunities and threats that are likely to beset our governance system. In Part 4, finally, we discuss our results, indicate limitations of our analysis, and draw some general conclusions. Part 1. Introduction Part 1 (a) The Canadian Governance System for Health It may seem strange to talk about a Canadian governance for (human) health research because system is a term that seems ill suited to complex set of standards, policies, procedures and practices that constitute participant protection in Canadian health research.4 There are macro-level actors who set general parameters (including governments, professional bodies and research sponsors), meso-level institutions (research institutions, sites where research is conducted) and individuals (including researchers and research workers). Moreover, there is an array of actual and potential authorities for Canadian research protection - international, federal provincial, institutional and professional - as well as a complex mix of domestic and international interests and interest groups - commercial, public, consumer, political, etc. that often act at cross-purposes. Despite these complexities, we believe there are insights to be gained from taking a systems view of our current patchwork of regulation and oversight. For purposes of this analysis, we take as our starting point Health Involving Human Subjects (HRIHS) lifecycle advanced in Research Ethics Broadly Writ: Beyond REB Review (5) by Anderson et al., which also appears in this issue of Health Law Review. In Anderson article, HRIHS lifecycle is described in terms of twelve linked and sequential stages that, together, offer a (admittedly idealized) description of various processes involved in conducting HRIHS: [ILLUSTRATION OMITTED] In our view, Canadian governance has a role to play at each stage in HRIHS lifecycle. However, as Anderson and co-authors note, there is a major gap between what governance is supposed to do, and what it actually does. Elucidating risks and opportunities posed by this gap is subject of this paper. Part 1 (b) SWOT Analysis SWOT and SWOT-type analyses are widely used in world of business and government. The basic idea is to assess internal capacity of an organization or [its strengths and weaknesses! to deal with external environments [opportunities and threats]. …

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 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)0,047
score de la tête « metaresearch » (Gemma)0,015
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Intégrité de la recherche
Catégories consensuellesMétarecherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,853
Score d'incertitude au seuil0,995

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0470,015
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,008
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,918
Tête enseignante GPT0,700
Écart entre enseignants0,218 · 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

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2011
Routes d'admission2
Résumé présentoui

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