A5053750382- Research Data Management Practices
- Cardiac Health and Mental Health
- Scientific Computing and Data Management
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Obesity, Physical Activity, Diet
- Heart Failure Treatment and Management
- Data Quality and Management
- Music and Audio Processing
- Semantic Web and Ontologies
- Multisensory perception and integration
- Music Technology and Sound Studies
- Diverse Musicological Studies
- Fractional Differential Equations Solutions
- Musculoskeletal pain and rehabilitation
- Occupational Health and Burnout
- Health and Lifestyle Studies
- Biomedical Text Mining and Ontologies
- Resilience and Mental Health
- Stress Responses and Cortisol
- Heart Rate Variability and Autonomic Control
- Libraries and Information Services
- Acute Myocardial Infarction Research
- Youth, Drugs, and Violence
- Genetics, Bioinformatics, and Biomedical Research
- Sleep and related disorders
Maastricht University
2019-2022
University Medical Center Groningen
2014-2020
University of Groningen
2016-2020
The FAIR principles have been widely cited, endorsed and adopted by a broad range of stakeholders since their publication in 2016. By intention, the 15 guiding do not dictate specific technological implementations, but provide guidance for improving Findability, Accessibility, Interoperability Reusability digital resources. This has likely contributed to adoption principles, because individual stakeholder communities can implement own solutions. However, it also resulted inconsistent...
The FAIR principles were received with broad acceptance in several scientific communities. However, there is still some degree of uncertainty on how they should be implemented. Several self-report questionnaires have been proposed to assess the implementation principles. Moreover, FAIRmetrics group released 14, general-purpose maturity for representing FAIRness. Initially, these metrics conducted as open-answer questionnaires. Recently, implemented into a software that can automatically...
ABSTRACT Objective No previous study has focused on recognition of myocardial infarction (MI) and the presence both depressive anxiety disorders in a large population-based sample. The aim this was to investigate association recognized MI (RMI) unrecognized (UMI) with disorders. Methods Analyses included 125,988 individuals enrolled Lifelines study. Current mental according Diagnostic Statistical Manual Mental Disorders (Fourth Edition) were assessed Mini-International Neuropsychiatric...
Abstract As more datasets, tools, workflows, APIs, and other digital resources are produced by the research community, it is becoming increasingly difficult to harmonize organize these efforts for maximal synergistic integrated utilization. The Findable, Accessible, Interoperable, Reusable (FAIR) guiding principles have prompted many stakeholders consider strategies tackling this challenge making follow common standards best practices so that they can become organized. Faced with question of...
There is a growing acknowledgement in the scientific community of importance making experimental data machine findable, accessible, interoperable, and reusable (FAIR). Recognizing that high quality metadata are essential to make datasets FAIR, members GO FAIR Initiative Research Data Alliance (RDA) have initiated series workshops encourage creation Metadata for Machines (M4M), enabling any self-identified stakeholder define promote reuse standardized, comprehensive machine-actionable...