Evidence map›Paper›PMID 37262312›Full record

ArticleThe American journal of bioethics : AJOB2023

Ethical Responsibilities for Companies That Process Personal Data.

Matthew S McCoy, Anita L Allen, Katharina Kopp, Michelle M Mello, D J Patil, Pilar Ossorio, Steven Joffe, Ezekiel J Emanuel

Abstract read
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In one paragraph

Article in The American journal of bioethics : AJOB, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Translating Commercial Health Data Privacy Ethics into Change.The American journal of bioethics : AJOB · 2023
    Article
  10. Article
  11. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Matthew S McCoyPerelman School of Medicine, University of Pennsylvania.
Anita L AllenUniversity of Pennsylvania Carey School of Law.
Katharina KoppCenter for Digital Democracy.
Michelle M MelloStanford Law School and Stanford University School of Medicine.
D J PatilBelfer Center, Harvard Kennedy School.
Pilar OssorioUniversity of Wisconsin School of Law, Morgridge Institute for Research.
Steven JoffePerelman School of Medicine, University of Pennsylvania.
Ezekiel J EmanuelPerelman School of Medicine, University of Pennsylvania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has become increasingly difficult for individuals to exercise meaningful control over the personal data they disclose to companies or to understand and track the ways in which that data is exchanged and used. These developments have led to an emerging consensus that existing privacy and data protection laws offer individuals insufficient protections against harms stemming from current data practices. However, an effective and ethically justified way forward remains elusive. To inform policy in this area, we propose the Ethical Data Practices framework. The framework outlines six principles relevant to the collection and use of personal data-minimizing harm, fairly distributing benefits and burdens, respecting autonomy, transparency, accountability, and inclusion-and translates these principles into action-guiding practical imperatives for companies that process personal data. In addition to informing policy, the practical imperatives can be voluntarily adopted by companies to promote ethical data practices.

Indexed as

ConfidentialityPrivacyHumansConfidentiality & privacyhealth policyregulatory issues

Identifiers

PMID37262312

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.