Collecting the data necessary for achieving the 2030 Agenda and the 17 SDGs outlined therein poses an unprecedented challenge. Furthermore, data collection exercises run the risk of not being representative of the entire population, omitting important variables, or laying the groundwork for future human rights violations. To address these challenges the OHCHR published a guidance note on how to collect data according to a human rights-based approach to data (HRBAD). Such a HRBAD includes six principles: participation, disaggregation, self-identification, transparency, privacy, and accountability. To complement said guidance note, this thesis compiles a catalogue of best practices from six different NSOs that illustrates how data can be collected according to an HRBAD. In a second step, the catalogue was used to evaluate whether these practices deliver on the goals of an HRBAD, safeguarding human rights and ensuring progress on the 2030 Agenda, the relative importance of different best practices, and how the principles interact with each other. Given sufficient resources and a minimum level of political will, the identified best practices did indeed promote the 2030 Agenda and safeguarded human rights. The relative importance significantly varied between different practices with the ones affecting all aspects of an NSO, like codes of practice or regulations, being the most important ones. The identified best practices highlighted the importance of transparency to enable meaningful accountability and the key role of participation, transparency, and accountability in encouraging the use of data by actors outside the conventional statistical system. No direct trade-off between disaggregation and transparency versus privacy could be observed. The compiled catalogue of best practices can serve as an illustrative list for NSOs aiming to implement an HRBAD. The insights on the trade-offs and synergies between and the relative importance of different best practices further facilitate the implementation.