Research institutions face growing challenges managing large and complex datasets: Data volumes are increasing in size, variety, and velocity, while traditional, ad hoc data management practices lead ...

Data management and documentation is an important part of the responsible conduct of research. Data that you create, record, compile or collect during your research is a valuable asset that needs to ...

Every time a scientist runs an experiment, or a social scientist does a survey, or a humanities scholar analyzes a text, they generate data. Science runs on data – without it, we wouldn’t have the ...

Co-Founder, COO at Komprise, creating Intelligent Data Management for enterprises to manage data growth and harness data value across clouds Biotech and clinical researchers want access to this data ...

Institutions need to move away from a reactive habit of expanding storage and towards a more deliberate data management model based on understanding and control.

The research lifecycle is the process that a researcher undertakes when completing a project or study, from inception to completion. Research data management is involved in each step of this complex ...

Forbes contributors publish independent expert analyses and insights. Robert, founder of KramerERP, covers AI, ERP, SCM, data and security. Just like 2023, 2024 was a dynamic year for enterprise data ...

Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...

For detailed information on how to protect research data, see HRPP’s Guide to Data Management and Protection (pdf). When conducting human subjects research, as the investigator you must be mindful of ...

The Libraries provide guidance for writing Data Management (and Sharing) Plans (DMPs or DMSPs), whether they are required as part of a grant proposal or written electively to support effective ...