Evidence map›Paper›PMID 33076428›Full record

ArticleNanomaterials (Basel, Switzerland)2020

Metadata Stewardship in Nanosafety Research: Community-Driven Organisation of Metadata Schemas to Support FAIR Nanoscience Data.

Anastasios G Papadiamantis, Frederick C Klaessig, Thomas E Exner, Sabine Hofer, Norbert Hofstaetter, Martin Himly, Marc A Williams, Philip Doganis, Mark D Hoover, Antreas Afantitis and 5 more

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

15 authors.

Anastasios G PapadiamantisSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham B15 2TT, UK.
Frederick C KlaessigPennsylvania Bio Nano Systems, Doylestown, PA 18901, USA.
Thomas E ExnerEdelweiss Connect, CH-4057 Basel, Switzerland.
Sabine HoferParis Lodron University of Salzburg, Department of Biosciences, 5020 Salzburg, Austria.
Norbert HofstaetterParis Lodron University of Salzburg, Department of Biosciences, 5020 Salzburg, Austria.
Martin HimlyParis Lodron University of Salzburg, Department of Biosciences, 5020 Salzburg, Austria.
Marc A WilliamsU.S. Army Public Health Center (APHC), Aberdeen Proving Ground-South, Aberdeen, MD 21010, USA.
Philip DoganisSchool of Chemical Engineering, National Technical University of Athens, 157 80 Athens, Greece.
Mark D HooverMark D Hoover LLC, Morgantown, WV 26505, USA.
Antreas AfantitisNovamechanics Ltd., 1065 Nicosia, Cyprus.
Georgia MelagrakiNovamechanics Ltd., 1065 Nicosia, Cyprus.
Tracy S NolanDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
John RumbleR&R Data Services, Gaithersburg, MD 20877, USA.
Dieter MaierBiomax Informatics AG, 82152 Planegg, Germany.
Iseult LynchSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham B15 2TT, UK.

Funding

European Commission 731032 (NanoCommons)European Commission 814530 (NANORIGO)European Commission 814572 (NanoSolveIT)Research and Innovation Foundation, Cyprus POST-DOC/0718/0070
6 · The paper itself

Abstract

The emergence of nanoinformatics as a key component of nanotechnology and nanosafety assessment for the prediction of engineered nanomaterials (NMs) properties, interactions, and hazards, and for grouping and read-across to reduce reliance on animal testing, has put the spotlight firmly on the need for access to high-quality, curated datasets. To date, the focus has been around what constitutes data quality and completeness, on the development of minimum reporting standards, and on the FAIR (findable, accessible, interoperable, and reusable) data principles. However, moving from the theoretical realm to practical implementation requires human intervention, which will be facilitated by the definition of clear roles and responsibilities across the complete data lifecycle and a deeper appreciation of what metadata is, and how to capture and index it. Here, we demonstrate, using specific worked case studies, how to organise the nano-community efforts to define metadata schemas, by organising the data management cycle as a joint effort of all players (data creators, analysts, curators, managers, and customers) supervised by the newly defined role of data shepherd. We propose that once researchers understand their tasks and responsibilities, they will naturally apply the available tools. Two case studies are presented (modelling of particle agglomeration for dose metrics, and consensus for NM dissolution), along with a survey of the currently implemented metadata schema in existing nanosafety databases. We conclude by offering recommendations on the steps forward and the needed workflows for metadata capture to ensure FAIR nanosafety data.

Indexed as

data curationdata management rolesdata shepherdFAIR scientific principles(meta)datananosafety

Identifiers

PMID33076428
PMCPMC7602672

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.