Metadata is a key aspect of data management. This paper de-scribes the work of NFFA-EUROPE project on the design of a metadata stand-ard for nanoscience, with a focus on data lifecycle and the needs of data practi-tioners who manage data resulted from nanoscience experiments. The method-ology and the resulting high-level metadata model are presented. The paper ex-plains and illustrates the principles of metadata design for data-intensive re-search. This is value to data management practitioners in all branches of re-search and technology that imply a so-called “visitor science” model where multiple researchers apply for a share of a certain resource on large facilities (instruments)
Data Assimilation’. In this framework, a data repository, the so-called TR32DB project database, was...
The one-covers-all approach in current metadata standards for scientific data has serious limitation...
A common problem across scientific domains concerns metadata: Important information about experiment...
The work outlines the landscape of emerging metadata models for nanotechnology. A gap analysis and p...
Scientific data life cycles define how data is created, handled, accessed, and analyzed by users. Su...
In this paper, we present the Core Scientific Metadata Model (CSMD), a model for the representation ...
A sophisticated ensemble of services and tools enables high-level research data and research metadat...
Metadata play a fundamental role in making research data FAIR (findable, accessible, interoperable, ...
The tremendous growth in digital data has led to an increase in metadata initiat...
Scientific facilities are increasingly generating and handling large amounts of data from experiment...
Scientific data reuse requires careful curation and annotation of the data. Late stage curation acti...
BACKGROUND: Assessing the safety of engineered nanomaterials (ENMs) is an interdisciplinary and comp...
Presentation given in Workshop on Scientific Data Management for Photon and Neutron Facilities, Helh...
The one-covers-all approach in current metadata standards for scientific data has serious limitation...
The one-covers-all approach in current metadata standards for scientific data has ...
Data Assimilation’. In this framework, a data repository, the so-called TR32DB project database, was...
The one-covers-all approach in current metadata standards for scientific data has serious limitation...
A common problem across scientific domains concerns metadata: Important information about experiment...
The work outlines the landscape of emerging metadata models for nanotechnology. A gap analysis and p...
Scientific data life cycles define how data is created, handled, accessed, and analyzed by users. Su...
In this paper, we present the Core Scientific Metadata Model (CSMD), a model for the representation ...
A sophisticated ensemble of services and tools enables high-level research data and research metadat...
Metadata play a fundamental role in making research data FAIR (findable, accessible, interoperable, ...
The tremendous growth in digital data has led to an increase in metadata initiat...
Scientific facilities are increasingly generating and handling large amounts of data from experiment...
Scientific data reuse requires careful curation and annotation of the data. Late stage curation acti...
BACKGROUND: Assessing the safety of engineered nanomaterials (ENMs) is an interdisciplinary and comp...
Presentation given in Workshop on Scientific Data Management for Photon and Neutron Facilities, Helh...
The one-covers-all approach in current metadata standards for scientific data has serious limitation...
The one-covers-all approach in current metadata standards for scientific data has ...
Data Assimilation’. In this framework, a data repository, the so-called TR32DB project database, was...
The one-covers-all approach in current metadata standards for scientific data has serious limitation...
A common problem across scientific domains concerns metadata: Important information about experiment...