Evidence map›Paper›PMID 37037470›Full record

ArticleGenomics & informatics2023

Introduction of the Korea BioData Station (K-BDS) for sharing biological data.

Byungwook Lee, Seungwoo Hwang, Pan-Gyu Kim, Gunwhan Ko, Kiwon Jang, Sangok Kim, Jong-Hwan Kim, Jongbum Jeon, Hyerin Kim, Jaeeun Jung and 6 more

Abstract read
In one paragraph

Article in Genomics & informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  4. Review
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  6. Article
  7. Big data and deep learning for RNA biology.Experimental & molecular medicine · 2024
    Review
  8. Article
  9. Article
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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

16 authors.

Byungwook LeeKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology, Daejeon 34141, Korea.
Seungwoo HwangKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology, Daejeon 34141, Korea.
Pan-Gyu KimKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology, Daejeon 34141, Korea.
Gunwhan KoKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology, Daejeon 34141, Korea.
Kiwon JangKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology, Daejeon 34141, Korea.
Sangok KimKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology, Daejeon 34141, Korea.
Jong-Hwan KimKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology, Daejeon 34141, Korea.
Jongbum JeonKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology, Daejeon 34141, Korea.
Hyerin KimKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology, Daejeon 34141, Korea.
Jaeeun JungKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology, Daejeon 34141, Korea.
Byoung-Ha YoonKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology, Daejeon 34141, Korea.
Iksu ByeonKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology, Daejeon 34141, Korea.
Insu JangKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology, Daejeon 34141, Korea.
Wangho SongKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology, Daejeon 34141, Korea.
Jinhyuk ChoiKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology, Daejeon 34141, Korea.
Seon-Young KimKorea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology, Daejeon 34141, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A wave of new technologies has created opportunities for the cost-effective generation of high-throughput profiles of biological systems, foreshadowing a "data-driven science" era. The large variety of data available from biological research is also a rich resource that can be used for innovative endeavors. However, we are facing considerable challenges in big data deposition, integration, and translation due to the complexity of biological data and its production at unprecedented exponential rates. To address these problems, in 2020, the Korean government officially announced a national strategy to collect and manage the biological data produced through national R&D fund allocations and provide the collected data to researchers. To this end, the Korea Bioinformation Center (KOBIC) developed a new biological data repository, the Korea BioData Station (K-BDS), for sharing data from individual researchers and research programs to create a data-driven biological study environment. The K-BDS is dedicated to providing free open access to a suite of featured data resources in support of worldwide activities in both academia and industry.

Indexed as

biological datadata repositorynational R&D

Identifiers

PMID37037470
PMCPMC10085736

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.