Knowledge Graphs help to connect and organize information from different sources and entities. They can be used to apply advanced search and filtering techniques on very large datasets and reveal connections and dependencies across the data. To be useful, however, they require highly uniform and harmonized data sets. So far, most knowledge graphs on scientific data have used bibliographic data...
Approaches to rapidly collecting global biodiversity data are increasingly important, but biodiversity blind spots persist. We organized a three-day Datathon event to improve the openness of local biodiversity sequence data and facilitate data reuse by local researchers. The first Datathon, organized among microbial ecologists in Uruguay and Argentina assembled the largest microbiome dataset...
The vast amount of observations needed to train new generation AI models (Foundation Models) necessitates a strategy of combining data from multiple repositories in a semi-automatic way to minimize human involvement. However, many public data sources present challenges such as inhomogeneity, lack of machine-actionable data, and manual access barriers. These issues can be mitigated through the...
The aim of a cooperation between the DDI Alliance and [QualidataNet][1] - a network for qualitative data that is being created as part of the NFDI - is to describe qualitative data in a standardized way so that researchers can find it and use it for their own research, regardless of discipline and thematic location.
Since last year, QualidataNet has been involved in the metadata...
Scientists frequently need to get an overview of their experiments by summarizing information spread over multiple files and storage locations. This metadata may include items such as experimental conditions, subject details, and characteristics of the experimental data. It is common for researchers to spend time developing their own solutions tailored to their specific use case. However,...
At the Helmholtz Association, we strive to establish a well-formed harmonized data space, connecting information across distributed data infrastructures. This requires standardizing the description of data sets with suitable metadata to achieve interoperability and machine actionability.
One way to make connections between datasets and to avoid redundancy in metadata is the consistent use of...
The laboratory of the future necessitates innovative solutions for efficient digital (meta)data capture. Electronic laboratory notebooks (ELNs) are progressively replacing traditional documentation methods, significantly improving research data management and laboratory processes. However, free-text data entry presents challenges for automation and data quality. Ontologies address these issues...
The CREATIVE project aims to make the generic repository RADAR4KIT easily accessible and attractive for the domain-specific communities organized in the Climate and Environment Centre (CEC) at the Karlsruhe Institute of Technology (KIT). This aim will be achieved with the help of customized templates and input masks for subject-specific metadata, which enhance the RADAR4KIT usability for the...
