Evidence map›Paper›PMID 42519882›Full record

ArticleDatabase : the journal of biological databases and curation2026

RUM/FILH: a standardized operational capability model for biodiversity databases.

Miklós Bán

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2026. 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

1 author.

Miklós BánHUN-REN DE Behavioural Ecology Research Group, Egyetem tér 1, 4032, Debrecen, Hungary.ORCID 0000-0002-6275-7928

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing reliance of biodiversity research on large-scale databases has brought significant progress in data accessibility but also new challenges in data comparability, reliability, and interpretability. While global platforms, such as GBIF and iNaturalist standardize and disseminate vast quantities of biodiversity information, they cannot fully meet the needs of users relying on local or thematic data sources. In this paper, we propose a unified service capability model, the RUM/FILH model, that provides a transparent, comparable framework for describing database functionalities and data management quality. The RUM model distinguishes three essential data-related services: Read, Upload, and Modify, while the FILH extension integrates FAIR principles and data history accessibility. This combined system enables both users and database administrators to assess interoperability, metadata quality, and licensing conditions quickly and consistently. We demonstrate the applicability of the RUM/FILH model across biodiversity databases of different scales, including international aggregators and community-based platforms. The proposed capability model enhances trust, transparency, and collaboration across distributed data infrastructures, supporting the development of a more coherent and sustainable global biodiversity informatics network.

Indexed as

BiodiversityDatabases, Factual

Identifiers

PMID42519882
PMCPMC13410939

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.