Table 2.
Proposal of competencies for domain 2: biomedical informatics.
| Subdomains | Areas of competence | |
| Data collection | ||
|
|
D2.1 | Differences between data, information, and knowledge and their relationship |
|
|
D2.2 | Most relevant sources and types of data in the field of personalized precision medicine, as well as the information that each of them can provide |
|
|
D2.3 | Primary and secondary use of health data and main databases, along with their applications in the specific areas of activity |
|
|
D2.4 | Strategies to improve data quality |
|
|
D2.5 | Data life cycle and the importance of complying with FAIRa principles to enable its use |
|
|
D2.6 | Sharing of data, information, and knowledge generated within the framework of personalized precision medicine, as well as the main national and international initiatives in health data management |
| Data management | ||
|
|
D2.7 | Mechanisms to guarantee confidentiality, protection, and security and/or maintain anonymity in the storage of health data and information, ensuring the right to privacy and making appropriate use of the information |
|
|
D2.8 | Most common data storage resources (centralized/federated databases) and the possibilities offered by each |
|
|
D2.9 | Main ontologies and normalization standards in the field of health that would facilitate interoperability and data exchange |
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|
D2.10 | Incorporation of information in the electronic health record in an appropriate manner, ensuring its quality to guarantee that it is subsequently used |
|
|
D2.11 | Legislative framework on the use and management of sensitive data and digital rights: the European regulation GDPRb and the national regulation OLPDPGDRc [68,69] |
| Data analysis and interpretation of information | ||
|
|
D2.12 | Methodologies available to perform data analysis: how the analysis is performed, the difficulties and limitations it presents, the quality of the data, etc |
|
|
D2.13 | Software available for use in current clinical practice |
|
|
D2.14 | Programming languages in health data analysis |
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|
D2.15 | Main technological trends that would be more important in the immediate future (eg, artificial intelligence, big data, Internet of Things, etc) |
aFAIR: Findability, Accessibility, Interoperability, and Reusability.
bGDPR: General Data Protection Regulation.
cOLPDPGDR: Organic Law 3/2018 on Personal Data Protection and Guarantee of Digital Rights.