There are numerous data sources to advance scientific knowledge, yet there are a greater amount of avenues uncertainty and trust to be brought into question. Therefore, the primary aim of this research is to understand how users of secondary data come to place trust in these contemporary sources - that have not been collected by themselves and may contain potential uncertainties, and how we can foster well-placed trust in these sources. - How do researchers view trust in data? Are they cognizant of the trust and uncertainty issues of data? Having seen from the literature that the definition of trust varies, how do researchers define trust in this context? - How trust is performed versus how it is verbalised. What do researchers actually do when they use these data sources? Are they apprehensive and take caution in these scenarios, or do they take a pragmatic approach and utilise this data (regardless of trust) if it is a necessity? - How do researchers account for potentially uncertain data in methods and methodologies? I.e. as uncertainty or untrustworthy data could potentially affect results and should be accounted for in order to be rigorous and reproducible. Are researchers aware of the effects of uncertainty and ambiguity in data and data science techniques? - Under which conditions is this data sufficiently trustworthy enough for the purposes that one might hope to use it? Are there varying contexts and purposes for this? - Finally, I will seek to understand the communication of uncertainty and trust. What forms of supplementary information are necessary for data users to formulate trust, and to use this data in their research? How can this be effectively presented and communicated?