Current Research and Scholarly InterestsI am interested in statistical integration of data at different scales.
Research and development (R&D) collaborations often require integration of data across organizational boundaries.
Our UDA provides a common data space for rapid integration of data from selected internal and external sources.
Full integration of data across the next-generation of the scholarly ecosystem will involve more of the "what" of research.
This includes integration of data citation in standardized ways within publication, catalogs, tool chains, and larger systems of attribution.
Research across the disciplines increasingly requires the integration of data science, statistics and machine learning to make cutting-edge advancements.
Consequently, results could not always be correlated, permitting only a restricted integration of data.
The value of master data management (MDM) does not lie solely in the integration of data.
This chapter focuses on scoping the integration of data quality management along a variety of dimensions.
This objective is crucial because the mashing process implies easy and fast integration of data sources.
Minor, W., Cymborowski, M., Otwinowski, Z. & Chruszcz, M. HKL-3000: the integration of data reduction and structure solution from diffraction images to an initial model in minutes.
