Developing a framework for investigating citizen science through a combination of web analytics and social science methods-The CS Track perspective. [PDF]
De-Groot R +4 more
europepmc +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Threats to Web Data Analytics and how to Prevent them [PDF]
Sara Mnour Almutairi
doaj +1 more source
Real-World User Demographics of Three Web-Based Digital Mental Health Interventions Provided by the US Department of Veterans Affairs: Observational Study Using Web Analytics Data. [PDF]
Ryan AT, Stearns-Yoder KA, Brenner LA.
europepmc +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
An Evaluation of 5-Year Web Analytics for HeadsUpGuys: A Men's Depression E-Mental Health Resource. [PDF]
Ogrodniczuk JS, Beharry J, Oliffe JL.
europepmc +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
The paper analyzes the trajectory of development of the scientific periodical "Bulletin of the Medical Institute 'REAVIZ': Rehabilitation, Doctor and Health", examining the key challenges and problematic aspects faced by the journal's editorial board in ...
V. N. Shabalin +6 more
doaj +1 more source
Using web analytics data to identify platforms and content that best engage high-priority HIV populations in online and social media marketing advertisements. [PDF]
Wray TB +8 more
europepmc +1 more source

