Research Data Management Strategy

Research into new and emerging technologies, like artificial intelligence and machine learning, often requires that multidisciplinary teams of experts work with significant amounts of complex data to produce cutting-edge analysis and findings. When conducting this research, it is essential to protect research subjects and steward data properly, to enable the team, or external stakeholders to re-use the data. Without effective data management, data becomes single-used and obsolete, rather than an asset.  Research and development teams, research consortia or research centres need to devise and implement a multi-layered and comprehensive data management strategy to safeguard data and mitigate organisational risk.

Trilateral Research adopts a collaborative, co-design approach to data management. We work closely with our clients to:

• identify the main challenges and strategic opportunities that relate to managing data within your research project.
• develop a robust legal/ethical compliance strategy and a proactive, positive outlook on ways to maximise the benefits from managing your project’s research data
• better comprehend gaps and develop appropriate responses to them in a dynamic way

Trilateral Research has a multidisciplinary team of data protection officers, legal and technical experts, social scientists, and data scientists with extensive experience developing research data management strategies for large and small projects across a number of different research domains. Our team has worked on sensitive projects in fields such as biomedical ethics, cyber-criminality and human trafficking including with vulnerable persons, and covers a vast area of different data management considerations, attesting for our readiness to provide bespoke solutions for your project.