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Record W2798773405

Research Participants' Rights to Access Information about Themselves Held by Public Research Institutions

2010· article· en· W2798773405 on OpenAlexvenueaboutno aff
Nola M. Ries

Bibliographic record

VenueHealth law review · 2010
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsnot available
Fundersnot available
KeywordsConfidentialityFreedom of informationLegislationPublic relationsInternet privacyPersonally identifiable informationPolitical scienceInformed consentPsychologySociologyLawComputer scienceMedicine
DOInot available

Abstract

fetched live from OpenAlex

Introduction The growth in longitudinal studies that involve collection and banking of personal information and biological samples from research participants over many years has generated wide-ranging analysis of associated ethical, legal and social aspects, especially issues of consent, privacy and confidentiality, handling of research findings, and benefit sharing. (1) One issue, however, that has received relatively little attention in the discussion of research databanks is the right of participants to request access to information about themselves held by researchers. Over the course of long-term study, much information about participants will be collected and recorded, including participant responses to study questionnaires and other instruments, records of physical measures, and results from analyses of blood or other biological samples that may be conducted for some studies. As discussed below, key fair information principle is that individuals ought to be able to know about and access personal information about themselves, especially information held by public institutions. Indeed, freedom of information laws across Canada codify right to access information held by public bodies, subject only to specified exceptions. (2) What is the scope of research participants' right to obtain access to information about themselves held by researchers in public institutions, such as universities? How does legislation apply to records created for research purposes? What factors should researchers consider in developing policies to handle access requests? To address these and related questions, this paper discusses the development of Canadian legal principles concerning access to personal information, focusing particularly on health information. It begins with brief overview of Canadian common law principles about access to health care records, then turns to the development of statutory access to information rules. Legislative provisions that apply to records obtained or created for research purposes are summarised and practical considerations for developing access to information policies are discussed. Canadian Common Law: McInerney v. MacDonald To open the discussion of information access rights, it is worth looking back to the 1992 Supreme Court of Canada decision in McInerney v. MacDonald. (3) This litigation concerned the common law right of patient to access records held by her physician. Dr. McInerney provided copies of records she had created, but refused to release copies of reports she had received from other physicians. In her view, those documents were the property of the other physicians and Ms. McInerney should contact them directly to request access. Ruling in the patient's favour, the Supreme Court of Canada held that patient has right to access their health care records and that physician should provide access to all records that informed the patient's treatment, including records obtained from other health care providers. The Court based this access right on the fiduciary relationship between the physician and the patient and noted that a patient has vital interest in the information contained in his or her medical records. (4) While the relationship between researcher and participant may arguably be characterised as fiduciary in limited circumstances, such as the relationship between physician-researcher and patient-participant in clinical trial, (5) the McInerney case is nonetheless notable in emphasising the importance of access to information about oneself. The nature of the information contained in research records is similar to the Supreme Court's description of information contained in medical records: at least in part, medical records contain information about the patient revealed by the patient ... Of primary significance is the fact that the records consist of information that is highly private and personal to the individual. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.056
metaresearch head score (Gemma)0.072
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.944
Threshold uncertainty score0.406

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0560.072
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0160.027
Scholarly communication0.0160.006
Open science0.0050.008
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0190.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.883
GPT teacher head0.752
Teacher spread0.131 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
DomainMethods
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2010
Admission routes2
Has abstractyes

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