Evidence map›Paper›PMID 40061581›Full record

ArticleBiodiversity data journal2025

Mobilising marine biodiversity data: a new malacological dataset of Italian records (Mollusca).

Arianna Giannini, Massimo Appolloni, Luigi Romani, Marco Oliverio

Abstract read
In one paragraph

Article in Biodiversity data journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Arianna GianniniDepartment of Biology and Biotechnologies "Charles Darwin", Sapienza University, Rome, Italy Department of Biology and Biotechnologies "Charles Darwin", Sapienza University Rome Italy.ORCID https://orcid.org/0000-0003-0147-2563
Massimo AppolloniCivic Museum of Zoology, Rome, Italy Civic Museum of Zoology Rome Italy.
Luigi RomaniInstitute of Systematics, Evolution, Biodiversity, Muséum national d'Histoire naturelle, Paris, France Institute of Systematics, Evolution, Biodiversity, Muséum national d'Histoire naturelle Paris France.ORCID https://orcid.org/0000-0002-4858-0636
Marco OliverioDepartment of Biology and Biotechnologies "Charles Darwin", Sapienza University, Rome, Italy Department of Biology and Biotechnologies "Charles Darwin", Sapienza University Rome Italy.ORCID https://orcid.org/0000-0002-0316-4364

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The location and palaeoceanographic history of the Mediterranean Sea make it a biodiversity hotspot, prompting extensive studies in this region. However, despite the marine biodiversity of this area being apparently widely studied, a large amount of distributional data for Mediterranean taxa is still unpublished or scattered in various sources and formats, causing severe limitations to their potential reuse. This emerges as a particularly thorny issue for highly biodiverse and neglected taxa, such as invertebrates. The mobilisation of these frozen data through a process of standardisation and georeferencing could potentially support biodiversity research and conservation. The aim of this work is to provide a standardised pipeline to integrate these dispersed data, focusing on the Italian waters of the Mediterranean Sea and using molluscs as target taxa. Data were gathered from two main sources: published literature and Natural History Collections. The harmonisation process involved three key steps: 1) terminology and structure standardisation; 2) taxonomy updating and 3) georeferencing. Our efforts yielded over 44000 standardised records of mollusc species from Italian seawaters. These records encompassed primary biodiversity data from newly-digitised specimens owned by 11 different institutions and private collectors, as well as secondary biodiversity data extracted from 311 published studies. New information: This work is the first attempt to mobilise the available distributional information of Italian marine mollusc species from Natural History Collections and literature, converting the retrieved data into point-occurrence records through standard protocols, thus creating a FAIR (Findable, Accessible, Interoperable and Reusable) dataset collating these records from Italian marine sectors.

Indexed as

big databiodiversity conservationItalymarinemolluscaNatural History Collectionsoccurrences

Identifiers

PMID40061581
PMCPMC11889433

What OpenQuestion holds

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Registered trials

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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.