Evidence map›Paper›PMID 29092005›Full record

ArticleBriefings in bioinformatics2019

A generally applicable lightweight method for calculating a value structure for tools and services in bioinformatics infrastructure projects.

Gerhard Mayer, Christian Quast, Janine Felden, Matthias Lange, Manuel Prinz, Alfred Pühler, Chris Lawerenz, Uwe Scholz, Frank Oliver Glöckner, Wolfgang Müller and 2 more

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gerhard Mayer
Christian Quast
Janine Felden
Matthias Lange
Manuel Prinz
Alfred Pühler
Chris Lawerenz
Uwe Scholz
Frank Oliver Glöckner
Wolfgang Müller
Katrin Marcus
Martin Eisenacher

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sustainable noncommercial bioinformatics infrastructures are a prerequisite to use and take advantage of the potential of big data analysis for research and economy. Consequently, funders, universities and institutes as well as users ask for a transparent value model for the tools and services offered. In this article, a generally applicable lightweight method is described by which bioinformatics infrastructure projects can estimate the value of tools and services offered without determining exactly the total costs of ownership. Five representative scenarios for value estimation from a rough estimation to a detailed breakdown of costs are presented. To account for the diversity in bioinformatics applications and services, the notion of service-specific 'service provision units' is introduced together with the factors influencing them and the main underlying assumptions for these 'value influencing factors'. Special attention is given on how to handle personnel costs and indirect costs such as electricity. Four examples are presented for the calculation of the value of tools and services provided by the German Network for Bioinformatics Infrastructure (de.NBI): one for tool usage, one for (Web-based) database analyses, one for consulting services and one for bioinformatics training events. Finally, from the discussed values, the costs of direct funding and the costs of payment of services by funded projects are calculated and compared.

Indexed as

Big DataComputational BiologyConsultantsCosts and Cost AnalysisFacility Design and ConstructionHumansInformation ServicesModels, EconomicSoftwareWeb Browserbioinformatics infrastructurecost factorsde.NBIservice provision unitvalue estimation for offered tools and servicesvalue-influencing factors

Identifiers

PMID29092005
PMCPMC6781588

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.