[HTML][HTML] Data provenance for cloud forensic investigations, security, challenges, solutions and future perspectives: A survey

OI Abiodun, M Alawida, AE Omolara… - Journal of King Saud …, 2022‏ - Elsevier
It is extremely difficult to track down the original source of sensitive data from a variety of
sources in the cloud during transit and processing. For instance, data provenance, which …

Metadata schemas and ontologies for building energy applications: A critical review and use case analysis

M Pritoni, D Paine, G Fierro, C Mosiman, M Poplawski… - Energies, 2021‏ - mdpi.com
Digital and intelligent buildings are critical to realizing efficient building energy operations
and a smart grid. With the increasing digitalization of processes throughout the life cycle of …

PubChem 2023 update

S Kim, J Chen, T Cheng, A Gindulyte, J He… - Nucleic acids …, 2023‏ - academic.oup.com
Abstract PubChem (https://pubchem. ncbi. nlm. nih. gov) is a popular chemical information
resource that serves a wide range of use cases. In the past two years, a number of changes …

The ChEMBL bioactivity database: an update

AP Bento, A Gaulton, A Hersey, LJ Bellis… - Nucleic acids …, 2014‏ - academic.oup.com
ChEMBL is an open large-scale bioactivity database (https://www. ebi. ac. uk/chembl),
previously described in the 2012 Nucleic Acids Research Database Issue. Since then, a …

Automated in silico design of homogeneous catalysts

M Foscato, VR Jensen - ACS catalysis, 2020‏ - ACS Publications
Catalyst discovery is increasingly relying on computational chemistry, and many of the
computational tools are currently being automated. The state of this automation and the …

From platform to knowledge graph: evolution of laboratory automation

J Bai, L Cao, S Mosbach, J Akroyd, AA Lapkin, M Kraft - JACS Au, 2022‏ - ACS Publications
High-fidelity computer-aided experimentation is becoming more accessible with the
development of computing power and artificial intelligence tools. The advancement of …

Data sharing in chemistry: lessons learned and a case for mandating structured reaction data

R Mercado, SM Kearnes, CW Coley - Journal of Chemical …, 2023‏ - ACS Publications
The past decade has seen a number of impressive developments in predictive chemistry
and reaction informatics driven by machine learning applications to computer-aided …

Chemical species ontology for data integration and knowledge discovery

L Pascazio, S Rihm, A Naseri, S Mosbach… - Journal of Chemical …, 2023‏ - ACS Publications
Web ontologies are important tools in modern scientific research because they provide a
standardized way to represent and manage web-scale amounts of complex data. In …

Review and alignment of domain-level ontologies for materials science

A De Baas, P Del Nostro, J Friis, E Ghedini… - IEEE …, 2023‏ - ieeexplore.ieee.org
The growing complexity and interdisciplinary nature of Materials Science research demand
efficient data management and exchange through structured knowledge representation …

Unifying the identification of biomedical entities with the Bioregistry

CT Hoyt, M Balk, TJ Callahan, D Domingo-Fernández… - Scientific data, 2022‏ - nature.com
The standardized identification of biomedical entities is a cornerstone of interoperability,
reuse, and data integration in the life sciences. Several registries have been developed to …