Opening Letter of RILEM TC SDM: The current situation of data and metadata management in construction materials research - Emerging demands and viable solutions

To meet growing demands of stakeholders of the construction materials research field, new practices and methods must be established in handling metadata and raw data. Modelling approaches, simulation calculations and a targeted use of machine learning can save time and resources and is increasingly used in the industry as a decision-making tool. These techniques will play a crucial role in achieving the Net-Zero CO2 deadline of 2050. However, a better collaborative effort is required to ensure that data can be successfully reused. The task is challenging, as methods and strategies for data collection in the field of construction materials are diverse. The RILEM TC SDM (Scientific Metadata Management of Construction materials) aims to lay the foundation for a formal approach to metadata collection and management. As an initial step, a metadata collection framework and the associated input tool will be designed. Along with a best-practice guideline for the storage of raw data, this will help data producers establish a robust routine that aligns with the FAIR data principles, facilitating the data's reuse. The TC will provide the bridging element – the metadata file – that links the journal publication to the raw data. The metadata file can be easily stored and searched.

Authors

Institutions

Publication Details

Journal
RILEM Technical Letters
Published
2025-08-20
DOI
https://doi.org/10.21809/rilemtechlett.2025.219
Citations
1
Primary Topic
Library Science and Information Systems
Type
article
Field-Weighted Citation Impact
3.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Opening Letter of RILEM TC SDM: The current situation of data and metadata management in construction materials research - Emerging demands and viable solutions

Fabien Georget, Sandra Nunes, Roman Wan‐Wendner, Ravi B. Patel et al.
1 citations
RILEM Technical Letters
Library Science and Information Systems
3.25
article

Opening Letter of RILEM TC SDM: The current situation of data and metadata management in construction materials research - Emerging demands and viable solutions

Fabien Georget, Sandra Nunes, Roman Wan‐Wendner, Ravi B. Patel, Tanja Manninger, Tulio Honorio, Gilberto Cidreira Keserle
article en
1 citations

Abstract

To meet growing demands of stakeholders of the construction materials research field, new practices and methods must be established in handling metadata and raw data. Modelling approaches, simulation calculations and a targeted use of machine learning can save time and resources and is increasingly used in the industry as a decision-making tool. These techniques will play a crucial role in achieving the Net-Zero CO2 deadline of 2050. However, a better collaborative effort is required to ensure that data can be successfully reused. The task is challenging, as methods and strategies for data collection in the field of construction materials are diverse. The RILEM TC SDM (Scientific Metadata Management of Construction materials) aims to lay the foundation for a formal approach to metadata collection and management. As an initial step, a metadata collection framework and the associated input tool will be designed. Along with a best-practice guideline for the storage of raw data, this will help data producers establish a robust routine that aligns with the FAIR data principles, facilitating the data's reuse. The TC will provide the bridging element – the metadata file – that links the journal publication to the raw data. The metadata file can be easily stored and searched.

RILEM Technical LettersVol. 10
Karlsruhe Institute of Technology (DE), Université de Sherbrooke (CA), Université Paris-Saclay (FR), Ghent University Hospital (BE), Smart Material (Germany) (DE), EnGlobe (Canada) (CA), Delft University of Technology (NL)
Openalex Percentile: Top 7%
Library Science and Information Systems
3.25
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.