Evidence map›Paper›PMID 36146309›Full record

ArticleSensors (Basel, Switzerland)2022

A Research on the Sharing Platform of Wild Bird Data in Yunnan Province Based on Blockchain and Interstellar File System.

Huaiyuan Yang, Yucheng Li, Hua Zhou, Yili Zhao, Lei Song

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

5 authors.

Huaiyuan YangCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China.
Yucheng LiCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China.
Hua ZhouCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China.
Yili ZhaoCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China.
Lei SongCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sharing scientific data is an effective means to rationally exploit scientific data and is vital to promote the development of the industrial chain and improve the level of science and technology. In recent years, the popularity of the open data platform has increased, but problems remain, including imperfect system architecture, unsound privacy and security, and non-standardized interaction data. To address these problems, the blockchain's decentralization, smart contracts, distributed storage, and other features can be used as the core technology for open data systems. This paper addresses the problems of opening, allocation-right confirmation, sharing, and rational use of wild-bird data from Yunnan Province, China. A data storage model is proposed based on the blockchain and interstellar file system and is applied to wild-bird data to overcome the mutual distrust between ornithology institutions in the collaborative processing and data storage of bird data. The model provides secure storage and secure access control of bird data in the cloud, thereby ensuring the decentralized and secure storage of wild-bird data for multiple research institutions.

Indexed as

BlockchainAnimalsBirdsChinaComputer SecurityPrivacybird big datablockchaindata sharinginterplanetary file system

Identifiers

PMID36146309
PMCPMC9501809

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.