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

Research output: Contribution to journalArticlepeer-review

Standard

Metadata Stewardship in Nanosafety Research : Community-Driven Organisation of Metadata Schemas to Support FAIR Nanoscience Data. / Papadiamantis, Anastasios G; Klaessig, Frederick C; Exner, Thomas E; Hofer, Sabine; Hofstaetter, Norbert; Himly, Martin; Williams, Marc A; Doganis, Philip; Hoover, Mark D; Afantitis, Antreas; Melagraki, Georgia; Nolan, Tracy S; Rumble, John; Maier, Dieter; Lynch, Iseult.

In: Nanomaterials, Vol. 10, No. 10, 2033, 15.10.2020, p. 1-49.

Research output: Contribution to journalArticlepeer-review

Harvard

Papadiamantis, AG, Klaessig, FC, Exner, TE, Hofer, S, Hofstaetter, N, Himly, M, Williams, MA, Doganis, P, Hoover, MD, Afantitis, A, Melagraki, G, Nolan, TS, Rumble, J, Maier, D & Lynch, I 2020, 'Metadata Stewardship in Nanosafety Research: Community-Driven Organisation of Metadata Schemas to Support FAIR Nanoscience Data', Nanomaterials, vol. 10, no. 10, 2033, pp. 1-49. https://doi.org/10.3390/nano10102033

APA

Papadiamantis, A. G., Klaessig, F. C., Exner, T. E., Hofer, S., Hofstaetter, N., Himly, M., Williams, M. A., Doganis, P., Hoover, M. D., Afantitis, A., Melagraki, G., Nolan, T. S., Rumble, J., Maier, D., & Lynch, I. (2020). Metadata Stewardship in Nanosafety Research: Community-Driven Organisation of Metadata Schemas to Support FAIR Nanoscience Data. Nanomaterials, 10(10), 1-49. [2033]. https://doi.org/10.3390/nano10102033

Vancouver

Author

Papadiamantis, Anastasios G ; Klaessig, Frederick C ; Exner, Thomas E ; Hofer, Sabine ; Hofstaetter, Norbert ; Himly, Martin ; Williams, Marc A ; Doganis, Philip ; Hoover, Mark D ; Afantitis, Antreas ; Melagraki, Georgia ; Nolan, Tracy S ; Rumble, John ; Maier, Dieter ; Lynch, Iseult. / Metadata Stewardship in Nanosafety Research : Community-Driven Organisation of Metadata Schemas to Support FAIR Nanoscience Data. In: Nanomaterials. 2020 ; Vol. 10, No. 10. pp. 1-49.

Bibtex

@article{60bb0544c9af4175b8adab994e08752b,
title = "Metadata Stewardship in Nanosafety Research: Community-Driven Organisation of Metadata Schemas to Support FAIR Nanoscience Data",
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.",
keywords = "(meta)data, Data curation, Data management roles, Data shepherd, FAIR scientific principles, Nanosafety",
author = "Papadiamantis, {Anastasios G} and Klaessig, {Frederick C} and Exner, {Thomas E} and Sabine Hofer and Norbert Hofstaetter and Martin Himly and Williams, {Marc A} and Philip Doganis and Hoover, {Mark D} and Antreas Afantitis and Georgia Melagraki and Nolan, {Tracy S} and John Rumble and Dieter Maier and Iseult Lynch",
year = "2020",
month = oct,
day = "15",
doi = "10.3390/nano10102033",
language = "English",
volume = "10",
pages = "1--49",
journal = "Nanomaterials",
issn = "2079-4991",
publisher = "MDPI",
number = "10",

}

RIS

TY - JOUR

T1 - Metadata Stewardship in Nanosafety Research

T2 - Community-Driven Organisation of Metadata Schemas to Support FAIR Nanoscience Data

AU - Papadiamantis, Anastasios G

AU - Klaessig, Frederick C

AU - Exner, Thomas E

AU - Hofer, Sabine

AU - Hofstaetter, Norbert

AU - Himly, Martin

AU - Williams, Marc A

AU - Doganis, Philip

AU - Hoover, Mark D

AU - Afantitis, Antreas

AU - Melagraki, Georgia

AU - Nolan, Tracy S

AU - Rumble, John

AU - Maier, Dieter

AU - Lynch, Iseult

PY - 2020/10/15

Y1 - 2020/10/15

N2 - 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.

AB - 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.

KW - (meta)data

KW - Data curation

KW - Data management roles

KW - Data shepherd

KW - FAIR scientific principles

KW - Nanosafety

UR - http://www.scopus.com/inward/record.url?scp=85087066384&partnerID=8YFLogxK

U2 - 10.3390/nano10102033

DO - 10.3390/nano10102033

M3 - Article

C2 - 33076428

VL - 10

SP - 1

EP - 49

JO - Nanomaterials

JF - Nanomaterials

SN - 2079-4991

IS - 10

M1 - 2033

ER -