Currently, the data to be explored and exploited by computing systems increases at an
exponential rate. The massive amount of data or so-called “Big Data” put pressure on …

The data-intensive research environment and the movement towards open science create
demand for information professionals with knowledge of the research process and skills in …

Increasingly larger number of software systems today are including data science
components for descriptive, predictive, and prescriptive analytics. The collection of data …

Background In the era defined by the fourth paradigm of science research, the burgeoning
volume of science data poses a formidable challenge. The established data-related …

The research community is working to create new capabilities to share data and to deal with
issues of data quality, standards, and protection, and ethical and responsible use of shared …

Quantum computing is an emerging paradigm that enables to solve a variety of problems
more efficiently than it is possible on classical computers. As the first quantum computers are …

Purpose Visualisations of research and research-related activities including research data
management (RDM) as a lifecycle have proliferated in the last decade. The purpose of this …

This paper explores the openly available DMP tools and forms a comparative analysis
aimed at assisting researchers and data managers to formulate effective data management …

Current discussions of the ethical aspects of big data are shaped by concerns regarding the
social consequences of both the widespread adoption of machine learning and the ways in …

Purpose This study addresses the need for a theory-guided, rich, descriptive account of
research data repositories'(RDRs) understanding of data quality and the structures of their …