Scientific innovation is increasingly reliant on data and computational resources. Much of
today's life science research involves generating, processing, and reusing heterogeneous …

Research data management is acknowledged as an important concern for institutions and
several platforms to support data deposits have emerged. In this paper we start by …

Background The life sciences are one of the biggest suppliers of scientific data. Reusing and
connecting these data can uncover hidden insights and lead to new concepts. Efficient …

Research data are the cornerstone of science and their current fast rate of production is
disquieting researchers. Adequate research data management strongly depends on …

The web tool Adamant has been developed to systematically collect research metadata as
early as the conception of the experiment. Adamant enables a continuous, consistent, and …

Dublin Core descriptors capture metadata in most repositories, and this includes recent
repositories dedicated to datasets. DC descriptors are generic and are being adapted to the …

Sensitive personal information of individuals and non-personal information of organizations
or communities often needs to be legitimately exchanged among different stakeholders, to …

This work introduces the “pyJSON Schema Loader and JSON Editor”, a client-side desktop
application for offline and local environments capable of creating, editing and tracking …

We present CaosDB, a Research Data Management System (RDMS) designed to ensure
seamless integration of inhomogeneous data sources and repositories of legacy data in a …

This study aims to analyze the acceleration of one data Indonesia through collaborative
governance. Data quality is a necessity for every country. Unfortunately, data accuracy …