Evidence map›Paper›PMID 41073478›Full record

ArticleScientific reports2025

Distributed storage database system for motion data based on blockchain technology.

Peng Wang, Zhizhi Zhao

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Peng WangAnhui Vocational College of Police Officers, Hefei, 230031, Anhui, China.
Zhizhi ZhaoInstitute of Physical Education and Training, Capital University of Physical Education and Sports, Haidian, Beijing, 100191, China. zhaozhizhi@cupes.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the importance of sports data in health management increases, traditional centralized storage faces security and privacy protection issues. Blockchain technology provides a new solution for the secure storage and sharing of sports data through its decentralized and tamper-proof characteristics. This paper constructs a distributed storage database system for sports data on the blockchain, which realizes the decentralized storage and sharing of data by storing sports data on the blockchain. The hash algorithm is used to store sports data to ensure the security and reliability of the data. The system uses smart contract technology to achieve multi-party secure computing and access control, ensuring that only users with access rights can access sports data. Experimental results show that the blockchain-based system is superior to traditional database systems in terms of storage efficiency (91% vs. 81%), data integrity (99.5% vs. 97.7%), and query response time (5.0ms vs. 9.9ms). The contribution of this paper is to provide an innovative solution for the secure storage and sharing of sports data, which can effectively protect the personal data privacy of athletes and support efficient data query and management.

Indexed as

Blockchain technologyDatabase systemDistributed storageMotion data

Identifiers

PMID41073478
PMCPMC12514291

What OpenQuestion holds

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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.