Building Trust in Academic Research through Open Data

Building Trust in Academic Research through Open Data Trust is the bedrock of academic research, and it is built on collaboration, transparency, and reproducibility. Open data boost the listed elements by allowing complete visibility into the research methodologies, allowing other researchers to verify findings and replicate studies. It promotes collaboration within and across disciplines as well as institutions, leading to innovative research outputs, and engages the public by making research findings accessible. DataCite, a global community and non-profit membership organization, plays a crucial role in this effort by providing services and tools that support open data practices in academia. This helps to address challenges such as data quality, privacy, and the need for robust infrastructure and standards must be addressed to build trust effectively. DataCite, as a key player in the open research space, provides DOI registration for datasets and a wide range of other research outputs and resources. DOIs can be registered through an intuitive user interface, or registration can be automated by integration with the DataCite API. A comprehensive metadata schema (currently Metadata Schema 4.5) ensures standardization and discoverability across research outputs. In addition, DataCite is actively involved in the development of metrics and dashboards to visualize connections between different research entities. These tools ensure data is discoverable, citable, and trackable, enhancing transparency,trust, and FAIRness. In this talk, we will show case studies of successful implementations in sub-Saharan Africa that highlight the positive impact of open data practices on research transparency and reproducibility. Building a culture of trust through open data is essential for the credibility and integrity of academic research, and DataCite's tools and services are pivotal in achieving this goal.