Big data systems: A software engineering perspective

A Davoudian, M Liu - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Big Data Systems (BDSs) are an emerging class of scalable software technologies whereby
massive amounts of heterogeneous data are gathered from multiple sources, managed …

Julich-Brain: A 3D probabilistic atlas of the human brain's cytoarchitecture

K Amunts, H Mohlberg, S Bludau, K Zilles - Science, 2020 - science.org
Cytoarchitecture is a basic principle of microstructural brain parcellation. We introduce Julich-
Brain, a three-dimensional atlas containing cytoarchitectonic maps of cortical areas and …

Linked data-the story so far

C Bizer, T Heath, T Berners-Lee - … the World's Information: Essays on Tim …, 2023 - dl.acm.org
8.1 The World Wide Web has radically altered the way we share knowledge, by lowering the
barrier to publishing and accessing documents as part of a global information space …

Toward the Geoscience Paper of the Future: Best practices for documenting and sharing research from data to software to provenance

Y Gil, CH David, I Demir, BT Essawy… - Earth and Space …, 2016 - Wiley Online Library
Geoscientists now live in a world rich with digital data and methods, and their computational
research cannot be fully captured in traditional publications. The Geoscience Paper of the …

[HTML][HTML] A survey of emerging threats in cybersecurity

J Jang-Jaccard, S Nepal - Journal of computer and system sciences, 2014 - Elsevier
The exponential growth of the Internet interconnections has led to a significant growth of
cyber attack incidents often with disastrous and grievous consequences. Malware is the …

[BOOK][B] Reproducibility and replicability in science

National Academies of Sciences, Policy, Global Affairs… - 2019 - books.google.com
One of the pathways by which the scientific community confirms the validity of a new
scientific discovery is by repeating the research that produced it. When a scientific effort fails …

AiiDA: automated interactive infrastructure and database for computational science

G Pizzi, A Cepellotti, R Sabatini, N Marzari… - Computational Materials …, 2016 - Elsevier
Computational science has seen in the last decades a spectacular rise in the scope,
breadth, and depth of its efforts. Notwithstanding this prevalence and impact, it is often still …

A survey on provenance: What for? What form? What from?

M Herschel, R Diestelkämper, H Ben Lahmar - The VLDB Journal, 2017 - Springer
Provenance refers to any information describing the production process of an end product,
which can be anything from a piece of digital data to a physical object. While this survey …

Why linked data is not enough for scientists

S Bechhofer, I Buchan, D De Roure, P Missier… - Future Generation …, 2013 - Elsevier
Scientific data represents a significant portion of the linked open data cloud and scientists
stand to benefit from the data fusion capability this will afford. Publishing linked data into the …

FUTURE-AI: guiding principles and consensus recommendations for trustworthy artificial intelligence in medical imaging

K Lekadir, R Osuala, C Gallin, N Lazrak… - arxiv preprint arxiv …, 2021 - arxiv.org
The recent advancements in artificial intelligence (AI) combined with the extensive amount
of data generated by today's clinical systems, has led to the development of imaging AI …