Units of evidence for analyzing subdisciplinary difference in data practice studies

Digital libraries (DLs) are adapting to accommodate research data related services. The complexities of this new content spans elements of DL development, and there are questions data selection, service development, and how best to these with local, institutional initiatives for , data-intensive research, and data stewardship. science disciplines are of particular relevance due to the of this mode of research in the academy, and the magnitude of data production. To support data into DLs – and subsequent data reuse – there is a need new knowledge on the range and complexities inherent in -data-curation arrangements for small science research. present a flexible methodological approach crafted to generate units to analyze these relationships and facilitate crossdisciplinary .