In the fast-evolving landscape of biomedical research, the emergence of big data has
presented researchers with extraordinary opportunities to explore biological complexities. In …

The sharing and documentation of cardiovascular research data are essential for efficient
use and reuse of data, thereby aiding scientific transparency, accelerating the progress of …

Metadata describe information about data source, type of creation, structure, status and
semantics and are prerequisite for preservation and reuse of medical data. To overcome the …

The strategic importance of data in decision-making is increasingly recognized, demanding
efficient solutions such as data catalogs to ensure data governance and emphasize data …

Selecting relevant data subsets from large, unfamiliar datasets can be difficult. We address
this challenge by modeling and visualizing two kinds of auxiliary information:(1) quality–the …

Biomedical datasets are increasing in size, stored in many repositories, and face challenges
in FAIRness (findability, accessibility, interoperability, reusability). As a Consortium of …

Metadata is data about data, which is generated mainly for resources organization and
description, facilitating finding, identifying, selecting and obtaining information. With the …

Datasets consist of measurement data and metadata. Metadata provides context, essential
for understanding and (re-) using data. Various metadata standards exist for different …

We are approaching the third decade since the establishment of the very first proteomics
repositories back in the mid‐'00s. New experimental approaches and technologies …

Data provenance has raised much attention across disciplines lately, as it has been shown
that enrichment of data with provenance information leads to better credibility, renders data …