Evidence map›Paper›PMID 37498129›Full record

ArticleGigaScience2022

SODAR: managing multiomics study data and metadata.

Mikko Nieminen, Oliver Stolpe, Mathias Kuhring, January Weiner, Patrick Pett, Dieter Beule, Manuel Holtgrewe

Abstract read
In one paragraph

Article in GigaScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

7 authors.

Mikko NieminenBerlin Institute of Health at Charité-Universitätsmedizin Berlin, Core Unit Bioinformatics (CUBI), Berlin 10117 , Germany.ORCID 0000-0002-4180-8810
Oliver StolpeBerlin Institute of Health at Charité-Universitätsmedizin Berlin, Core Unit Bioinformatics (CUBI), Berlin 10117 , Germany.ORCID 0000-0002-8686-2941
Mathias KuhringBerlin Institute of Health at Charité-Universitätsmedizin Berlin, Core Unit Bioinformatics (CUBI), Berlin 10117 , Germany.ORCID 0000-0002-3287-0313
January WeinerBerlin Institute of Health at Charité-Universitätsmedizin Berlin, Core Unit Bioinformatics (CUBI), Berlin 10117 , Germany.ORCID 0000-0003-1438-7819
Patrick PettBerlin Institute of Health at Charité-Universitätsmedizin Berlin, Core Unit Bioinformatics (CUBI), Berlin 10117 , Germany.ORCID 0000-0002-5249-444X
Dieter BeuleBerlin Institute of Health at Charité-Universitätsmedizin Berlin, Core Unit Bioinformatics (CUBI), Berlin 10117 , Germany.ORCID 0000-0002-3284-0632
Manuel HoltgreweBerlin Institute of Health at Charité-Universitätsmedizin Berlin, Core Unit Bioinformatics (CUBI), Berlin 10117 , Germany.ORCID 0000-0002-3051-1763

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scientists employing omics in life science studies face challenges such as the modeling of multiassay studies, recording of all relevant parameters, and managing many samples with their metadata. They must manage many large files that are the results of the assays or subsequent computation. Users with diverse backgrounds, ranging from computational scientists to wet-lab scientists, have dissimilar needs when it comes to data access, with programmatic interfaces being favored by the former and graphical ones by the latter. We introduce SODAR, the system for omics data access and retrieval. SODAR is a software package that addresses these challenges by providing a web-based graphical user interface for managing multiassay studies and describing them using the ISA (Investigation, Study, Assay) data model and the ISA-Tab file format. Data storage is handled using the iRODS data management system, which handles large quantities of files and substantial amounts of data. SODAR also offers programmable APIs and command-line access for metadata and file storage. SODAR supports complex omics integration studies and can be easily installed. The software is written in Python 3 and freely available at https://github.com/bihealth/sodar-server under the MIT license.

Indexed as

MetadataMultiomicsData ManagementInformation Storage and RetrievalSoftwareiRODSISA-Tabscientific data management

Identifiers

PMID37498129
PMCPMC10373112

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.