Persona 1¶
PhD student Taylor Smith¶
New PhD student Taylor Smith has started a research project that will use genomic data to inform conservation management for a culturally significant species. Their project involves data collection and generation, analysis using the local compute infrastructure provided by their institute, and dissemination of results to end-users including conservation practitioners and local communities. They will be operating under a DMP adapted from the template used across their research team, and they have access to internal training and external support structures.
Their research team, led by Professor Nepia, is in the process of developing a lab manual that includes daily data management processes, along with onboarding and exiting procedures. Taylor is grateful for the supportive research environment, as they feel comfortable asking questions and sharing thoughts to help develop these processes. While their data is yet to be generated, being involved in these processes ensures they have a clear understanding of what will be involved in managing their data.
Taylor’s main concerns are in ensuring their data management practices facilitate Indigenous data sovereignty and uphold the FAIR and CARE Guiding Principles during the active life-span of the project. As the project has a defined end-date, they also want to ensure that there is a framework in place to maintain these requirements into the future. Communication around data management is primarily with Professor Nepia, who is maintaining long-term trust-based relationships with research partners, with additional support from their wider research team.
Mouse-over for definitions: DMP, HPC, IDSov, VM. See the Glossary for full definitions.
Taylor’s key questions in their data management journey¶
| Question | Associated module providing solutions |
|---|---|
| Why is data management important? | The ethics and benefits of good data management practices Module 02 |
| What are some key things I should know as I begin my data management journey? | Top tips and tricks to make data management easy Module 01 |
| How can I enable Indigenous data sovereignty in my data management practices? | Indigenous data sovereignty Module 06 |
| What is metadata, and how should I manage it? | The what, why and how of metadata Module 07 |
| How can I structure directories for raw data and analysis? | Incorporating data management into daily practice Module 08 |