11 to 20 of 82 Results
Dec 1, 2025 - 2025 - Research Data Management for Advanced Users
Castro Xum, Cristian Gustavo, 2025, "Sensitive Data: Encryption and Anonymization", https://doi.org/10.82201/8O4EGT, BSC Dataverse, V1
This presentation explains you how to keep private information safe. The main point is to clearly explain the difference between Anonymization (truly hiding identity) and Pseudonymization (using a fake ID). It shows researchers how to use tools like encryption and strong security rules to protect sensitive data and meet GDPR privacy requirements. |
Dec 1, 2025 - 2025 - Research Data Management for Advanced Users
Fernando López; Tonello, Nadia, 2025, "Security Measures", https://doi.org/10.82201/D7DLLF, BSC Dataverse, V1
This presentation on security measures explains the essential rules for protecting research data and electronic services. It focuses on the National Security Framework (ENS), which tells public organizations how to keep information confidential, available, and safe. It shows that security is based on a risk level (Basic, Medium, or High). |
Dec 1, 2025 - 2025 - Research Data Management for Advanced Users
Martin del Pico, Eva, 2025, "FAIR Research Software", https://doi.org/10.82201/5X5VGE, BSC Dataverse, V1
This presentation gives a guide on how to make the code researchers write more useful and lasting. It explains that Research Software (like analysis scripts or simulation models) is now just as important as the data itself for making science reproducible. The presentation takes the core principles of FAIR and applies them to software. |
Dec 1, 2025 - 2025 - Research Data Management for Advanced Users
Reina Garcia, Oscar, 2025, "Practical Session - Analysis of DMPs and projects", https://doi.org/10.82201/SZEMIP, BSC Dataverse, V1
This presentatio is a hands-on workshop designed to help researchers master Research Data Management concepts through practical exercises. It outlines a series of tasks, that teach participants how to use the Science Europe DMP Evaluation Rubric to assess and improve their own Data Management Plans (DMPs), ensuring their research aligns with core R... |
Dec 1, 2025 - Computational Archival History
Berganzo-Besga, Iban; Coll Ardanuy, Mariona, 2025, "AMSMB HTR model for Medieval Notarial Manuscripts", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/AQRKOH, BSC Dataverse, V2
AMSMB HTR is a model trained using Kraken. The model uses the Tridis v1 model as base and is fine-tuned on the AMSMB HTR dataset (model named ft:v1 on the paper). Details on how the model was trained are reported in our GitLab repository and in our paper (see citation information below). |
Nov 14, 2025 - BSC Dissemination
RODRIGUEZ HERNANDEZ, ARIADNA, 2025, "Citizen science in research: A requirement and opportunity in horizon europe", https://doi.org/10.82201/Y8R3GM, BSC Dataverse, V1
This poster explains what citizen engagement is and how it can be integrated into Horizon Europe projects, highlighting that it is a key requirement from the European Commission. The idea is simple: the greater the interaction between academia, industry, government, and civil society, the more reliable, trusted, and widely adopted R&I results will... |
Nov 5, 2025 - Earth Sciences – DOI Datasets
Keller, Kai; Alerany Solé, Marta, 2025, "HANAMI Replicability in Earth System Models dataset", https://doi.org/10.82201/FUWZLG, BSC Dataverse, V1
This dataset includes references to a repository containing scripts for evaluating a novel replicability methodology for Earth System Models, together with references to datasets that can be used to reproduce our analysis based on the Community Earth System Model 2 (CESM2) Large Ensemble Community Project (LENS2), as presented in the associated pub... |
Nov 3, 2025 - RES Users' Conference 2025
Sanz Berman, Pol, 2025, "Machine Learning Interatomic Potentials for Catalysis: Developing a robust MLIP training framework", https://doi.org/10.82201/01DGGC, BSC Dataverse, V1
Heterogeneous catalysts are valued for their enhanced performance, but analyzing their electronic structures over large systems and extended periods is costly with ab-initio methods such as DFT. Recently, machine-learned interatomic potentials (MLIPs) have allowed for much faster calculations of energies and forces, facilitating more detailed catal... |
Nov 3, 2025 - RES Users' Conference 2025
Lipsky, Felipe, 2025, "Surface Driven Formation of ROS on α Ag₂WO₄ (110): First Principles Insights for Greener Sulfide Oxidation", https://doi.org/10.82201/7BU1VD, BSC Dataverse, V1
The selective oxidation of sulfides to sulfoxides and sulfones represents a pivotal transformation in green chemistry however, conventional methods often require harsh synthetic conditions to generate the reactive oxygen species ( responsible for driving the reaction 1 Dark and low temperature oxidation was examined using individual tungstate catal... |
Nov 3, 2025 - RES Users' Conference 2025
Martinelli Fujimori, Brenda, 2025, "Electronic and Photocatalytic Behavior of Cs2AgBiBr6: A DFT Approach", https://doi.org/10.82201/FKOC1D, BSC Dataverse, V1
Exploring new materials for energy production and environmental recovery is a major 21st-century challenge. Metal halide perovskites have emerged as promising candidates due to their tunable bandgap, strong light absorption, and excellent optoelectronic properties. Lead halide perovskites (e.g., CH₃NH₃PbX₃) exhibit high performance but face instabi... |
