Evidence map›Paper›PMID 42137970›Full record

ArticleJournal of integrative bioinformatics2026

Evolving bioinformatics services - the journey of KPI metrics with Scorpion.

Manuel Feser, Daniel Arend, Sebastian Beier, Marie Bolger, Nils-Christian Lübke, Maria Meister, Lena Steilen, Björn Usadel, Uwe Scholz

Abstract read
In one paragraph

Article in Journal of integrative bioinformatics, 2026. 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
–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

1 citing paper in PubMed.

  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

9 authors.

Manuel FeserLeibniz Institute of Plant Genetics and Crop Plant Research, Department Breeding Research, Working Group Bioinformatics and Information Technology, 06466 Stadt Seeland, OT Gatersleben, Germany.ORCID https://orcid.org/0000-0001-6546-1818
Daniel ArendLeibniz Institute of Plant Genetics and Crop Plant Research, Department Breeding Research, Working Group Bioinformatics and Information Technology, 06466 Stadt Seeland, OT Gatersleben, Germany.ORCID https://orcid.org/0000-0002-2455-5938
Sebastian BeierInstitute of Bio- and Geosciences (IBG-4: Bioinformatics), Cluster of Excellence on Plant Sciences (CEPLAS), Forschungszentrum Jülich GmbH, Wilhelm Johnen Straße, 52428 Jülich, Germany.ORCID https://orcid.org/0000-0002-2177-8781
Marie BolgerInstitute of Bio- and Geosciences (IBG-4: Bioinformatics), Cluster of Excellence on Plant Sciences (CEPLAS), Forschungszentrum Jülich GmbH, Wilhelm Johnen Straße, 52428 Jülich, Germany.ORCID https://orcid.org/0000-0001-6335-1578
Nils-Christian LübkeInstitute of Bio- and Geoscience (IBG-5: Computational Metagenomics), de.NBI & ELIXIR Germany, Forschungszentrum Jülich GmbH, Wilhelm Johnen Straße, 52428 Jülich, Germany.ORCID https://orcid.org/0009-0009-4801-9978
Maria MeisterGFBio - German Federation for Biological Data: Bremen, Bremen, Germany.ORCID https://orcid.org/0009-0000-2275-8005
Lena SteilenGesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen, Göttingen, Germany.ORCID https://orcid.org/0000-0002-9393-7331
Björn UsadelInstitute of Bio- and Geosciences (IBG-4: Bioinformatics), Cluster of Excellence on Plant Sciences (CEPLAS), Forschungszentrum Jülich GmbH, Wilhelm Johnen Straße, 52428 Jülich, Germany.ORCID https://orcid.org/0000-0003-0921-8041
Uwe ScholzLeibniz Institute of Plant Genetics and Crop Plant Research, Department Breeding Research, Working Group Bioinformatics and Information Technology, 06466 Stadt Seeland, OT Gatersleben, Germany.ORCID https://orcid.org/0000-0001-6113-3518

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Key Performance Indicators (KPIs) are essential for evaluating project success and establishing control mechanisms to monitor development, performance, and user acceptance of services in joint projects. However, the absence of standardized frameworks and effective monitoring tools, combined with service providers' reluctance due to fears of comparability, has limited their adoption in scientific contexts. To address this gap, we developed Scorpion, a flexible tool for KPI monitoring in project management. Scorpion enables service providers to retain control over their metrics while supporting centralized reporting. It offers both web-based and programmatic access, with features for KPI submission, visualization, and user and service management. Initially created for bioinformatics and biodiversity projects, Scorpion is applicable across diverse domains. It is particularly valuable for initiatives like the German National Research Data Infrastructure (NFDI), where funding agencies require KPI reporting for evaluation. We present the Scorpion framework, highlighting its design principles, features, and potential to improve project management practices. Use cases illustrate how Scorpion enhances KPI monitoring efficiency and accuracy, contributing to better impact evaluation, quality assurance, and informed decision-making in project and service management.

Indexed as

Computational BiologySoftwareAnimalsHumansScorpionsbioinformatics infrastructureimpact evaluationkey performance indicatorsmonitoringservice infrastructureservices

Identifiers

PMID42137970
PMCPMC13526448

What OpenQuestion holds

Textmetadata
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.