Requirements for research assessments There are huge differences in mission, emphasis, inherent capability, and targeted utilization of research among scientific institutions. Hence, when it comes to assessments, a one-size-fits-all approach cannot meet the goal(s) of these assessments. Probably even larger differences exist between individuals, research teams and departments. It is up to the research community to come up with objective, sound, reliable, easy to use, easy to understand, scalable, and sustainable methodologies, techniques, and tools for all types of scientific assessments, considering the reality of data availability, quality, and computability. Meeting these needs requires more than just changing to another set of indicators. A better understanding of what are the contributions and impacts for each of different types of research is necessary. Multiple data sources and computational methods may be needed, not just as individual tools but often coherently integrated to reveal pertinent, insightful, and, perhaps, even non-expected results. Moreover, tools for interactive analysis even by non-specialist decision-makers may be called for to support using the combined power of human intuition/experience (peers) and data mining & computational analytics. Citation: Ronald Rousseau, Xiaolin Zhang (2019). Reflections on tools and methods for differentiated assessments of individual scientists, groups of scientists and scientific journals. Journal of Data and Information Science, 4(3), 1-5