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1
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Development of a data dictionary (DD) and electronic Case Report Forms (eCRF) for data capture
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2
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Generation and provision of web-based questionnaires in the form of eCRFs for central data collection
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3
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Separation of personally identifiable information (PII) [5] as well as medical research data (MDAT) including the generation of pseudonyms as early as possible within data processing
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4
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Separate storage of metadata and pseudonymized MDAT
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5
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ETL-processes: extraction of relevant data from connected data sources, transformation of the data to a uniform (internal) data format, the enrichment of metadata and the loading of the enriched data into the research data repository
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6
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Export and transfer of uniform, pseudonymized data in at least one standardized format (e.g. SPSS or SAS) for data analysis and/or quality assurance
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7
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Ensuring the possibility of authentication (managing users as well as roles and/ or rights) as well as study process and site management
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