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Table 1 Prioritization of data elements

From: The German Corona Consensus Dataset (GECCO): a standardized dataset for COVID-19 research in university medicine and beyond

Scale value

Priority

NIH classification

Definition

5

Highly relevant

General core/disease core*

Data element with essential general or specific information relevant to COVID-19

4

Very relevant

Supplemental—highly recommended

Data element that is essential under certain conditions or for certain study types and is therefore strongly recommended

3

Relevant

Supplemental

Data element that is often collected in clinical studies, but whose relevance depends on the study design or type of research

2

Less relevant

Exploratory

Data element that requires further validation, but which can fill current gaps in the data elements and/or replace an existing data element

1

Not relevant

Data elements that are not considered relevant to the dataset

  1. *Since this is a disease-specific (i.e. COVID-19) dataset, both the general and disease-specific core categories of the NIH were assigned to the highest priority level