Evidence map›Paper›PMID 36703942›Full record

ReviewFrontiers in digital health2022

Blockchains as a means to promote privacy protecting, access availing, incentive increasing, ELSI lessening DNA databases.

Gal Zarchi, Maya Sherman, Omer Gady, Tomer Herzig, Ziv Idan, Dov Greenbaum

Abstract readReview
In one paragraph

Review in Frontiers in digital health, 2022. 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. Review
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.

Gal ZarchiReichman University (IDC) Herzliya, Herzliya, Tel Aviv District, Israel.
Maya ShermanReichman University (IDC) Herzliya, Herzliya, Tel Aviv District, Israel.
Omer GadyReichman University (IDC) Herzliya, Herzliya, Tel Aviv District, Israel.
Tomer HerzigReichman University (IDC) Herzliya, Herzliya, Tel Aviv District, Israel.
Ziv IdanReichman University (IDC) Herzliya, Herzliya, Tel Aviv District, Israel.
Dov GreenbaumReichman University (IDC) Herzliya, Herzliya, Tel Aviv District, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Not all blockchains are created equal, and many cannot accommodate all of the primary characteristics of big data: Variety, Velocity, Volume and Veracity. Currently, public blockchains are slow and clunky, it can be expensive to keep up with the velocity of genomic data production. Further, the transparent and universally accessible nature of public blockchain doesn't necessarily accommodate all of the variety of sequence data, including very private information. Bespoke private permissioned blockchains, however, can be created to optimally accommodate all of the big data features of genomic data. Further, private permissioned chains can be implemented to both protect the privacy and security of the genetic information therein, while also providing access to researchers. An NFT marketplace associated with that private chain can provide the discretized sale of anonymous and encrypted data sets while also incentivizing individuals to share their data through payments mediated by smart contracts. Private blockchains can provide a transparent chain of custody for each use of the customers' data, and validation that this data is not corrupted. However, even with all of these benefits there remain some concerns with the implementation of this new technology including the ethical, legal and social implications typically associated with DNA databases.

Indexed as

and social implications)big datablockchainDNA databaseELSI (ethicallegalprivacy

Identifiers

PMID36703942
PMCPMC9871783

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.