Start with planning

Every research project conducted under Stellenbosch University’s (SU) auspices that involves the collection and use of research data should have a data management plan (DMP). Ideally, the creation of a DMP should commence at the inception of any research project. While it may not be feasible to address all aspects initially, beginning the planning process enables researchers to address some key questions centred around adequate management of research data. SU’s Library and Information Service uses a series of workshop training events to encourage researchers to regard a DMP as a living document, not merely a requirement for securing funding. A DMP should often be revisited, edited, and updated as needed throughout the research lifecycle.

Consider the DMP tool and template

SU researchers need to consider tools that are openly available to them to facilitate the process of creating a DMP.  The Library developed a DMP tool, SunDMP, with a template (powered by FAIR Wizard) that enables SU researchers to create the plan from scratch.

Identify any proprietary, personal or sensitive data

The Library and Information Service provides a variety of services to researchers from various subject disciplines. It is for this reason that it is imperative for researchers to identify any proprietary, personal and sensitive data in the DMP prior to data collection. This pre-emptive measure can provide legal justification for withholding such data from public access if needed.

Establish a schedule for adjustments

As previously mentioned, the DMP should not be a static document but rather subject to regular review and updates. SU researchers are encouraged to establish a schedule for incorporating new information, revising old information, and possibly editing the DMP. These scheduled reviews should coincide with key project events such as funding approval, developments in data types, research project reviews, and publication milestones.

Prioritising data management planning optimises data management practices, enhances data accessibility and reusability, and advances scientific knowledge.

Please contact Sizwe Ngcobo if you need any assistance.

Research Data Management Library Guide