Evidence map›Paper›PMID 36761603›Full record

ArticleBiodiversity data journal2022

Software infrastructure and data pipelines established for technical interoperability within a cross-border cooperation for the flora of the Bohemian Forest.

Petr Novotný, Stefan Seifert, Martin Rohn, Wolfgang Diewald, Milan Štech, Dagmar Triebel

Open access · goldAbstract read
In one paragraph

Article in Biodiversity data journal, 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
0.8field-weighted citation impact, top 21% of its field
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, 5 citations in OpenAlex.

  1. 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

6 authors at 3 institutions in 3 countries.

Petr NovotnýDepartment of Biology Education, Faculty of Science, Charles University, Praha, Czech Republic Department of Biology Education, Faculty of Science, Charles University Praha Czech Republic.ORCID https://orcid.org/0000-0002-9655-6278
Stefan SeifertStaatliche Naturwissenschaftliche Sammlungen Bayerns, SNSB IT Center, Munich, Germany, Munich, Germany Staatliche Naturwissenschaftliche Sammlungen Bayerns, SNSB IT Center, Munich, Germany Munich Germany.
Martin RohnBabická 2379/1a, Praha, Czech Republic Babická 2379/1a Praha Czech Republic.
Wolfgang DiewaldStaatliche Naturwissenschaftliche Sammlungen Bayerns, Botanische Staatssammlung München, Munich, Germany Staatliche Naturwissenschaftliche Sammlungen Bayerns, Botanische Staatssammlung München Munich Germany.
Milan ŠtechDepartment of Botany, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic Department of Botany, Faculty of Science, University of South Bohemia České Budějovice Czech Republic.ORCID https://orcid.org/0000-0002-2987-6052
Dagmar TriebelStaatliche Naturwissenschaftliche Sammlungen Bayerns, SNSB IT Center, Munich, Germany, Munich, Germany Staatliche Naturwissenschaftliche Sammlungen Bayerns, SNSB IT Center, Munich, Germany Munich Germany.ORCID https://orcid.org/0000-0003-1980-3148
Charles University · CZCzech University of Life Sciences Prague · CZSewanee: The University of the South · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The timely and geographical resolutions, as well as the quantity and taxon concepts of records on the occurrence of plants near national borders is often ambiguous. This is due to the regional focus and different approaches of the contributing national and regional databases and networks of the neighbouring countries. Careful data transformation between national data providers is essential for understanding distribution patterns and its dynamics for organisms in areas along the national borders. Sharing occurrence data through the international data aggregator Global Biodiversity Information Facility (GBIF) is also complicated and has to consider that the underlying taxonomic concept and geographic information system of each single GBIF dataset might be different. In addition, some regional data providers have a restrictive (non-cc) licensing policy which does not allow data publication via the GBIF network. Therefore, it is necessary to investigate new ways to make data fit for use for a better and comprehensive understanding of the Flora of the Bohemian Forest. New information: In this paper, we present a bilateral technical interoperability solution for vascular plant occurrence data for the area between the Czech Republic and Bavaria. We describe the initial state of data providers in both countries and the factual and technical challenges in finding a sustainable concept to establish mutual data sharing. The resulting solution for a functional infrastructure and an agreed data pipeline is described in a step-by-step approach. The new distributed infrastructure allows botanists and other stakeholders from both countries to work within the cross-border context of historical and current plants' distribution.

Indexed as

ABCD occurrence data sourcesBohemian ForestDiversity Workbench repositories.Flora Silvae Gabretaeoccurrence data portalPladiastaxon names servicesweb portal

Identifiers

PMID36761603
PMCPMC9836605
OpenAlexW4306165618

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.