Search Results - Working with challenging data: Complex data

Making Environmental Monitoring Data More Open Using a Classification Model Based on the FAIR Principles and the Five Star Open Data Model

Authors: Taberman, Ida Asplund, Mikaela Hallstan, Simon et al.

Subject Terms: Working with challenging data: Data on a large scale: big data or large collections of long-tail data, IDCC25, Working with challenging data: Universal standards and expectations and that of context and discipline specific adaptations, long-tail data, Sustainability and strategy: Environmental sustainability of digital curation, reusability, governmental collaboration, dynamic datasets, Working with challenging data: Complex data, models and formats, Open data act

An Attempt To Make Open Data FAIR. How SLU Made Data Discoverable and Reusable by Creating the Environmental Data Catalogue

Authors: Asplund, Mikaela Hallstan, Simon Taberman, Ida

Subject Terms: IDCC25, Open data, long-tail data, distributed data spaces, metadata catalogue, Working with challenging data: Complex data, models and formats

'The Data Came in Waves': Fluid Data Sharing and Reuse During Covid-19

Authors: Yakel, Elizabeth orcid:0000-0002-8792- Lee, Jian-Sin et al.

Subject Terms: IDCC25, Papers, Working with challenging data: Complex data, models and formats, Working with challenging data: Universal standards and expectations and that of context and discipline specific adaptations, Sharing data: Demonstrating research integrity, Data sharing, Data reuse, COVID-19, Collaboration, Crisis informatics

Relation: https://zenodo.org/communities/idcc25/; https://zenodo.org/records/15008870; oai:zenodo.org:15008870; https://doi.org/10.5281/zenodo.15008870

Availability: https://doi.org/10.5281/zenodo.15008870
https://zenodo.org/records/15008870

Evolution from Data Silos to FAIR Digital Objects - Decade of Data Management at IPK Gatersleben

Authors: Schüler, Danuta orcid:0000-0003-4277- Arend, Daniel et al.

Subject Terms: IDCC25, Papers, Curation infrastructure: Tools, systems and services that are in development, Curation infrastructure: Proposals for new approaches to large-scale service delivery, Education and training: How effective is current training in delivering knowledge and skills?, Sustainability and strategy: Work on curation processes, techniques, costs, and workflows, Working with challenging data: Data on a large scale: big data or large collections of long-tail data, Working with challenging data: Complex data, models and formats, Sustainability, Research Data Management Infrastructure, LIMS, Training concepts and formats

Relation: https://zenodo.org/communities/idcc25/; https://zenodo.org/records/14989455; oai:zenodo.org:14989455; https://doi.org/10.5281/zenodo.14989455

Availability: https://doi.org/10.5281/zenodo.14989455
https://zenodo.org/records/14989455

Curating Archive and Library Special Collections for Large-Scale Environmental Data Collection: A Case Study

Authors: Wood, Nicole Elizabeth

Subject Terms: Curation infrastructure: Innovative research and exploration into new curation methods, Education and training: What knowledge and skills are needed?, Education and training: What innovations are being explored?, Working with challenging data: Data on a large scale: big data or large collections of long-tail data, Working with challenging data: Complex data, models and formats, Digital curation, Environmental data, Information retrieval, Ethics, Case study, IDCC25, Lightning Talks

Relation: https://zenodo.org/communities/idcc25/; https://zenodo.org/records/14947884; oai:zenodo.org:14947884; https://doi.org/10.5281/zenodo.14947884

Availability: https://doi.org/10.5281/zenodo.14947884
https://zenodo.org/records/14947884

DataSHIELD advances: Transformative Extensions for Privacy-Preserving Big Data Analysis in Health and Biosciences

Authors: Escribà Montagut, Xavier

Thesis Advisors: González Ruiz, Juan Ramón

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Dades federades, Federated data, Datos federados, Tecnologies

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/691737

Donkey hair cortisol concentrations are associated with carrying heavy load and being beaten at work.

Authors: Bukhari, Syed S. U. H. Li, Cheuk M. Kenéz, Ákos et al.

Source: BMC Veterinary Research. 10/6/2025, Vol. 21 Issue 1, p1-11. 11p.

Subjects: Donkeys, Animal welfare, Work environment, Hypothalamic-pituitary-adrenal axis, Glucocorticoids, Psychological stress

A NOVEL HYBRID FEATURE SELECTION TECHNIQUE FOR DATA MINING APPLICATIONS.

Authors: Rani, M. Birundha Subramani, A.

Source: ICTACT Journal on Soft Computing. Jul2025, Vol. 16 Issue 2, p3859-3868. 10p.

Subject Terms: Particle swarm optimization, Machine learning, K-means clustering, Support vector machines, Data mining, Feature selection

An overview of the national cattle health- and welfare-related information systems in Estonia, Finland, Sweden, and Germany.

Authors: Kallio, Tuija Timonen, Anri Tamm, Hardi et al.

Source: Frontiers in Animal Science. 2025, p1-17. 17p.

Red Blood Cell Fatty Acid Patterns and Cognitive Functions in Adolescents: A Pooled Analyses with Two Cohort Study Data Sets.

Authors: Ayala-Aldana, Nicolas Pinar-Martí, Ariadna Ruiz-Rivera, Marina et al.

Source: Nutrients. Nov2025, Vol. 17 Issue 21, p3483. 16p.

Anna: an open-source platform for real-time integration of machine learning classifiers with veterinary electronic health records.

Authors: Kong, Chun Yin Vasquez, Picasso Farhoodimoghadam, Makan et al.

Source: BMC Veterinary Research. 10/2/2025, Vol. 21 Issue 1, p1-12. 12p.

Subjects: Machine learning, Electronic health records, Open source software, Patient care, Veterinary medicine, Diagnosis, Classification algorithms, Synchronization

Health and social care staff’s experiences working with adults with complex needs – a focus group study

Authors: Harris, Ulrika Andersson, Anna Plessen, Veronica et al.

Contributors: Harris, Ulrika Andersson, Anna Plessen, Veronica et al.

Source: BMC Health Services Research. 25(1)

Subject Terms: Medical and Health Sciences, Health Sciences, Nursing, Medicin och hälsovetenskap, Hälsovetenskap, Omvårdnad

Access URL: https://doi.org/10.1186/s12913-025-12770-1

Unlocking farm-level antimicrobial resistance: a qualitative study of researchers' experiences and challenges.

Authors: Adegbole, Charles Seilkhanova, Togzhan Bajwa, Muhammad Rashid et al.

Source: Frontiers in Veterinary Science. 2025, p1-9. 9p.

Hierarchical modeling of risk factors with and without prior information—the process of regression model evaluation for an example of respiratory diseases in piglet production from daily practice data.

Authors: Tug, Timur Mers, Fiona Schäkel, Franziska et al.

Source: Frontiers in Veterinary Science. 2025, p1-16. 16p.

Gaining insights into pet owner understanding/lived experience of canine chronic kidney disease using survey and social media data.

Authors: Tarrant, Georgina Boyden, Luke Rai, Taranpreet et al.

Source: Frontiers in Veterinary Science. 2025, p1-13. 13p.

Automated brain extraction for canine magnetic resonance images.

Authors: Lesta, Gloria D. Deserno, Thomas M. Abani, Samira et al.

Source: BMC Veterinary Research. 9/16/2025, Vol. 21 Issue 1, p1-13. 13p.

Subjects: Magnetic resonance imaging, Artificial neural networks, Image processing, Computer-assisted image analysis (Medicine), Skull morphology

Trends in Urinary Sodium-to-Potassium Ratios in Koreans: Analysis of KNHANES 2016–2023 Data.

Authors: Choi, Rihwa Chun, Gayoung Cho, Sung-Eun et al.

Source: Nutrients. Aug2025, Vol. 17 Issue 15, p2411. 12p.

The Vertebrate Breed Ontology: Toward Effective Breed Data Standardization.

Authors: Mullen, Kathleen R. Tammen, Imke Matentzoglu, Nicolas A. et al.

Source: Journal of Veterinary Internal Medicine. Jul2025, Vol. 39 Issue 4, p1-13. 13p.

The Importance of Data Visualization in Exploratory Data Analysis.

Authors: Ratilal, Patel Darshan Reddy, P. V. Bhaskar

Source: Journal of Advanced Zoology. 2023 Supplement, Vol. 44, p923-929. 7p.

2D Prediction of the Nutritional Composition of Dishes from Food Images: Deep Learning Algorithm Selection and Data Curation Beyond the Nutrition5k Project.

Authors: Bianco, Rachele Coluccia, Sergio Marinoni, Michela et al.

Source: Nutrients. Jul2025, Vol. 18 Issue 13, p2196. 23p.