An increasing number of researchers support reproducibility by including pointers to and
descriptions of datasets, software and methods in their publications. However, scientific …

With a rising number of scientific datasets published and the need to test their Findable,
Accessible, Interoperable, and Reusable (FAIR) compliance repeatedly, data stakeholders …

We present ten simple rules that support converting a legacy vocabulary—a list of terms
available in a print-based glossary or in a table not accessible using web standards—into a …

Ontologies and vocabularies are an effective way to promote data interoperability in open
data and open science. The deep time knowledge graph is one of the most discussed and …

Plant phenotyping experiments are conducted under a variety of experimental parameters
and settings for diverse purposes. The data they produce is heterogeneous, complicated …

Over the last decade, the Cultural Heritage (CH) domain has gradually adopted Semantic
Web (SW) technologies for organizing information and for tackling interoperability issues …

The discoverability of datasets resulting from the diverse range of translational and
biomedical projects remains sporadic. It is especially difficult for datasets emerging from pre …

This paper analyses the requirements for managing interoperable building data in a
federated Common Data Environment (CDE). We discuss the need for generic (meta) data …

Data lake architectures enable the storage and retrieval of large amounts of data across an
enterprise. At Robert Bosch GmbH, we have deployed a data lake for this expressed …

The Data Quality Vocabulary (DQV) provides a metadata model for expressing data quality.
DQV was developed by the Data on the Web Best Practice (DWBP) Working Group of the …