Exposing metadata

Introduction

In this section we describe the FAIR Data Point (FDP) and its role in data onboarding. We also provide information about the various ways of implementing an FDP in your institute. Note that this page is intended for general audiences.

What is a FAIR Data Point

A FAIR Data Point Is a server-side application that exposes metadata following the FAIR principles. By adhering to FAIR principles, data providers can ensure that their data is accessible, understandable and usable by others while respecting privacy and ethical considerations. This promotes greater transparency and accountability in data sharing efforts, fostering more equitable and responsible use of data for research, innovation and decision-making.  FDP specification is based on widely accepted semantic metadata standards DCAT (Metadata mapping ) .

Here is a short video (2:05) from Fair Enough that explains what and FDP is:

How to implement a FAIR Data Point

In principle there are several ways for implementation of an FDP. In general, we recommend an implementation as close to the source of the data as possible to ensure that the data is accurate and updated. This would be a local deployment of an FDP at your institute or using an existing implementation of an FDP protocol within a tool your institute uses such as Molgenis or Castor (A list of implementations can be found here).

Here is a video (4:47) explaining the deployment of an FDP by Fair Enough :

Next steps

If you have an FDP and compliant metadata (Metadata mapping )within your FDP, the data can be harvested by the National Catalogue. For this step, please contact servicedesk@health-ri.nl .