Evidence map›Paper›PMID 31797643›Full record

ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2020

Navigating ethical quandaries with the privacy dilemma of biomedical datasets.

Gamze Gürsoy, Megan Doerr, John Wilbanks, Jennifer K Wagner, Haixu Tang, Steven E Brenner

Abstract read
In one paragraph

Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Algorithmic Fairness in the Roberts Court Era.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Gamze GürsoyYale University, New Haven, CT, 06511, USA, gamze.gursoy@yale.edu.
Megan Doerr
John Wilbanks
Jennifer K Wagner
Haixu Tang
Steven E Brenner

Funding

Component 2 - Resource ProjectU41HG007346 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI BRENNER, STEVEN E · 2015 to 2017
$1.7M
Methods and Software to Enhance Genomic Privacy and Sharing of RNA-Seq DataU01EB023686 · NIBIB · YALE UNIVERSITY · PI GERSTEIN, MARK BENDER · 2016 to 2018
$730k
NHGRI NIH HHS U41 HG007346NIBIB NIH HHS U01 EB023686
6 · The paper itself

Abstract

With decreasing cost of biomedical technologies, the scale of the genetic and healthcare data have exponentially increased and become available to wider audiences. Hence, privacy of patients and study participants has garnered the attention of researchers and regulators alike. Availability of genetic and health care information for uses not anticipated at the time of collection gives rise to privacy concerns such that people suffer dignitary harm when their data is used in ways they did not desire or intend, even if no concrete economic damage results. In this workshop, we explore the issues surrounding data use to advance human health from a privacy perspective. Broadly this field can be considered in two encompassing areas: (1) Ethics and regulation of privacy: The ethical and regulatory frames through which we can consider privacy, the existing regulations regarding privacy and what is on the horizon, and implementation of such ethical considerations for data with the new Common Rule. (2) Approaches to ensuring privacy using technology: The technologies that allow responsible use and sharing of data such as encryption and the quantification of privacy leakages in publicly available data through privacy attacks for better risk-assessment tools.

Indexed as

Computational BiologyComputer SecurityConfidentialityInformation DisseminationHumansMicro-Electrical-Mechanical Systems

Identifiers

PMID31797643
PMCPMC7329229

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.