Guidelines for data quality, measurement uncertainty, and traceability in sensor networks

This guidance document outlines best practices and metrics for data quality in sensor networks, focusing on measurement uncertainty, SI traceability, calibration, and uncertainty-aware sensor fusion. Includes practical recommendations for industrial and environmental applications. Prepared within the EU Partnership on Metrology project 22DIT02 FunSNM.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-31
DOI
https://doi.org/10.5281/zenodo.17412253
Primary Topic
Water Quality Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Guidelines for data quality, measurement uncertainty, and traceability in sensor networks

Zenodo (CERN European Organization for Nuclear Research)
Water Quality Monitoring and Analysis
article

Guidelines for data quality, measurement uncertainty, and traceability in sensor networks

article en

Abstract

This guidance document outlines best practices and metrics for data quality in sensor networks, focusing on measurement uncertainty, SI traceability, calibration, and uncertainty-aware sensor fusion. Includes practical recommendations for industrial and environmental applications. Prepared within the EU Partnership on Metrology project 22DIT02 FunSNM.

Zenodo (CERN European Organization for Nuclear Research)
Physikalisch-Technische Bundesanstalt (DE), University of Helsinki (FI), National Physical Laboratory (GB), Forschungszentrum Jülich (DE), University of Belgrade (RS), Swiss Federal Institute of Metrology (CH), Instituto Português Da Qualidade (PT), FORCE Technology (Norway) (NO), Vinča Institute of Nuclear Sciences, VTT Technical Research Centre of Finland (FI)
Partnerships for the goals
Openalex Percentile: Top 42%
Water Quality Monitoring and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Guidelines for data quality, measurement uncertainty, and traceability in sensor networks · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS