Evidence map›Paper›PMID 41952230›Full record

ArticleGenomics & informatics2026

BioOne: a national-scale platform for integrated discovery and utilization of diverse biological resources in South Korea.

Tae-Ho Kang, KyoungSoo Ha, WonHyun Kyung, Yong-Jin Jeon, Geun-Hyoung Jo, KangMin Park, KwangHee Lee, Tae-Eun Jin

Abstract read
In one paragraph

Article in Genomics & informatics, 2026. 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

8 authors.

Tae-Ho Kang *Korea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology (KRIBB), Daejeon, Republic of Korea.
KyoungSoo Ha *Korea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology (KRIBB), Daejeon, Republic of Korea.
WonHyun KyungKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology (KRIBB), Daejeon, Republic of Korea.
Yong-Jin JeonKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology (KRIBB), Daejeon, Republic of Korea.
Geun-Hyoung JoKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology (KRIBB), Daejeon, Republic of Korea.
KangMin ParkKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology (KRIBB), Daejeon, Republic of Korea.
KwangHee LeeKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology (KRIBB), Daejeon, Republic of Korea.
Tae-Eun JinKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology (KRIBB), Daejeon, Republic of Korea. tejin@kribb.re.kr.

Funding

National Research Foundation of Korea RS-2021-NR057628
6 · The paper itself

Abstract

The rapid growth of biological resources and associated research outputs has increased the complexity of resource discovery, access, and reuse across heterogeneous repositories. However, fragmented metadata schemas, limited interoperability, and siloed access mechanisms continue to hinder the integrated exploration of biological resources and their associated knowledge. Herein, we present BioOne (Biological resources One-Stop service platform), a unified informatics framework designed to address the fragmentation of national biological resources by integrating heterogeneous metadata from 14 distinct clusters and establishing a seamless resource-to-knowledge pipeline to enhance the discoverability and practical utilization of biological assets.BioOne is a national-scale web-based discovery platform that harmonizes biological resource metadata across 14 domain-specific biological resource clusters in Korea and systematically links these resources with external knowledge objects, including research papers, patents, biological datasets, and disease-drug-target information, through a unified discovery interface. To achieve this, we adopted a standard-aligned metadata integration framework, interoperable identifier mapping, and a modular system architecture to support scalable indexing, cross-domain search, and association-based navigation. By extending conventional catalog-based biological resource databases with an integrated discovery and access layer connecting distributed biorepositories to evidence-oriented knowledge resources, BioOne provides an informatics infrastructure for data-driven discovery, translational research, and coordinated utilization of biological resources at the national scale. The BioOne also offers a transferable implementation model for the large-scale integration of distributed biological resource systems.

Indexed as

Biological databaseBiological resourcesBioOneInteroperabilityMetadata integration

Identifiers

PMID41952230
PMCPMC13130625

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.