DMP: Documentation and Metadata

[K-Beicher]

Documentation

All data stored on the GenomeDK servers will be generated during the study, either by staff or by participants directly. We have no plans to store any external data (registers or the likes) with the data we generate.

The data will mainly be generated by the participants entering it into the Liva app, or by them answering questionnaires. Another large source of data is expected to come from scanners and other medical devices.

List of scanners?

Data on a participant will be generated during the two years they participate in the study. There are plans to then link the data with register data, but this will happen outside the ON LiMiT environment.

Access to the data will only happen through GenomeDK, and will require an application to the Publications Panel.

Metadata

We are currently writing detailed field descriptions using the Field Annotation field in REDCap. This allows us to tag all the fields relevant for future research with a description. At the same time we have a set of rules governing how to name our fields.

All the suppliers of data (Liva Healthcare, MyFood24, etc) will provide data dictionaries in csv formats. There will be a number of csv files which will be uploaded directly, these will originate from sensors and scanners and study staff at the sites will work with the data architect to describe all relevant variables.

Use the Seedcase Sprout software to generate and store the metadata in a data package format stored alongside the data on GenomeDK.

How will people find the data

We will create a website with a list of all the variables, this will be searchable and grouped by origin. The list will form the basis for the application to the Publication Panel.