Measuring the impact of DataSHIELD via research publications

PUMA (Publications Metadata Augmentation) [1] is an open source software pipeline that aggregates metadata from a variety of third-party providers to power a web based search and exploration tool for lists of publications. We present in this poster the application of PUMA to the DataSHIELD publications database – a log of peer reviewed academic publications we have collated relating to the development and/or application of DataSHIELD software. We present visualiations of the core publication metadata (i.e. author lists, keywords etc.) including geocoding of first authors and citation counts allowing a characterisation of a project as a whole based on common locations of authors, frequency of keywords, citation profile, sudy and consortia relationships etc. This enriched publications metadata is useful for generating project impact metrics, producing web-based graphics for public dissemination on the DataSHIELD website and will produce an online searchable data set of DataSHIELD publications useful for literature review/meta analysis, DataSHIELD data sources, DataSHIELD use cases, bibliometric analysis or social studies of science. From these data we created a series of interactive maps in R of i) DataSHIELD data nodes ii) consorita age weighted citations and iii) a study-publications network analysis. These new interactive graphics will soon be intergrated into the PUMA pipeline. [1] Butters OW, Wilson RC, Garner H and Burton TWY. Publications Metadata Augmentation (PUMA) pipeline [version 2; peer review: 2 approved] F1000Research 2021, 9:1095 (https://doi.org/10.12688/f1000research.25484.2)