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In this project, we investigated a range of data discovery contexts faced by clinical trials researchers, to better understand crucial factors that influence data discoverability and lead to data reuse. Our findings connect ways researchers both initiate personal data journeys and follow highly managed processes of data selection criteria. The project demonstrates the need for a holistic view in understanding data discovery approaches by clinical trials researchers. Our findings suggest the significance of prioritising user information needs for selecting and using datasets. As using a dataset involves a complex process of conducting secondary data analysis within a research project, it is important for data repositories to focus on meeting the objectives of system design at this level, which go beyond the scope of traditional information retrieval systems such as online databases and search engines. Data repositories need to consider ways to specify their objectives of system design for the data discovery systems and services.
This is the part 2 study of the ARDC project: Elicitation of data discovery context. The part 2 study interviewed researchers and data managers from the clinical trial design and research area. The part 1 study interviewed researchers and data managers who are mostly from Social Science and Terrestrial Eco-science. The part 1 report is available at: https://doi.org/10.5281/zenodo.7179525
Data Discovery, Clinical Trial Data, Health Data, Data Reuse, Data Quality, Data Attribute, User Study
Data Discovery, Clinical Trial Data, Health Data, Data Reuse, Data Quality, Data Attribute, User Study
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 228 | |
| downloads | 114 |

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