Visualising Researcher Collaboration and Linkage using ORCID Data and ResearchGraph
The primary objective of most research offices within the Australian University sector is to promote the strategic vision of the university they represent. They also administer their university’s research grants and policies while aiming to enhance the capability, quality and impact of research. To be successful at this, a lot of research evaluation has to happen. Research evaluation is sometimes hampered by a lack of data that clearly connects a research program with its outcomes and also by ambiguity about who has participated and contributions they have made. Manually making these connections is labour-intensives while algorithmic matching introduces errors and assumptions that can distort results.
Since its inception, ORCID has been uniquely identifying researchers and connecting them to their research contributions. ORCID also plays an important role in building and maintaining relationships of trust between researchers and their organisations in todays interconnected society. With over 2.5 million ORCID IDs connected to external identifiers like funding, publications and peer review, there is substantial big data within the ORCID registry to make connections between research programs and researchers. As big data becomes part of the research management paradigm that will influence future research management practice, there is an opportunity for research organisations to use it to predict trends, identify and support research policies and help increase research efficiencies.
This presentation focusses on one such example of how data within the ORCID registry can be used to visualise collaboration and linkages between institutions.
