Evidence map›Paper›PMID 34297162›Full record

ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2021

[Making COVID-19 research data more accessible-building a nationwide information infrastructure].

Carsten Oliver Schmidt, Juliane Fluck, Martin Golebiewski, Linus Grabenhenrich, Horst Hahn, Toralf Kirsten, Sebastian Klammt, Matthias Löbe, Ulrich Sax, Sylvia Thun and 2 more

Abstract readReview
In one paragraph

Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. [Integration of Inventory Data from Cohort and Registry Studies into an Existing Research Network: National Pandemic Cohort Network (NAPKON)].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2024
    Article
  2. Article
  3. 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

12 authors.

Carsten Oliver SchmidtInstitut für Community Medicine, Universitätsmedizin Greifswald, Walther-Rathenau-Str. 48, 17475, Greifswald, Deutschland. carsten.schmidt@uni-greifswald.de.
Juliane FluckZB MED - Informationszentrum Lebenswissenschaften, Bonn, Deutschland.
Martin GolebiewskiHeidelberger Institut für Theoretische Studien (HITS), Heidelberg, Deutschland.
Linus GrabenhenrichRobert Koch-Institut, Berlin, Deutschland.
Horst HahnInstitut für Digitale Medizin, Fraunhofer MEVIS, Bremen, Deutschland.
Toralf KirstenFakultät Angewandte Computer- und Biowissenschaften, Hochschule Mittweida, Mittweida, Deutschland.
Sebastian KlammtNetzwerk der Koordinierungszentren für Klinische Studien - KKS-Netzwerk e. V., Berlin, Deutschland.
Matthias LöbeInstitut für Medizinische Informatik, Statistik und Epidemiologie (IMISE), Universität Leipzig, Leipzig, Deutschland.
Ulrich SaxInstitut für Medizinische Informatik, Universitätsmedizin Göttingen, Göttingen, Deutschland.
Sylvia ThunBerlin Institute of Health at Charité, Universitätsmedizin Berlin, Berlin, Deutschland.
Iris PigeotLeibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Bremen, Deutschland.
NFDI4Health Task Force Covid-19

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public health research and epidemiological and clinical studies are necessary to understand the COVID-19 pandemic and to take appropriate action. Therefore, since early 2020, numerous research projects have also been initiated in Germany. However, due to the large amount of information, it is currently difficult to get an overview of the diverse research activities and their results. Based on the "Federated research data infrastructure for personal health data" (NFDI4Health) initiative, the "COVID-19 task force" is able to create easier access to SARS-CoV-2- and COVID-19-related clinical, epidemiological, and public health research data. Therefore, the so-called FAIR data principles (findable, accessible, interoperable, reusable) are taken into account and should allow an expedited communication of results. The most essential work of the task force includes the generation of a study portal with metadata, selected instruments, other study documents, and study results as well as a search engine for preprint publications. Additional contents include a concept for the linkage between research and routine data, a service for an enhanced practice of image data, and the application of a standardized analysis routine for harmonized quality assessment. This infrastructure, currently being established, will facilitate the findability and handling of German COVID-19 research. The developments initiated in the context of the NFDI4Health COVID-19 task force are reusable for further research topics, as the challenges addressed are generic for the findability of and the handling with research data.

Indexed as

COVID-19Information DisseminationBiomedical ResearchGermanyHumansMetadataPandemicsSARS-CoV-2Clinical trialsCOVID-19 study portalEpidemiologyFAIR principlesPublic health

Identifiers

PMID34297162
PMCPMC8298983

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.