Methodology

The Data Audit Framework recommends that audits of research data assets proceed as a four step process:

In the planning stage the purpose and scope of the audit is defined. Preliminary research is conducted and meetings scheduled to optimise time spent with the organisation’s staff. The purpose of the second state, identifying research data, is to establish what data assets exist and classify them according to their anticipated value to the organisation. The classification step determines the scope of further audit activities, as only the vital or most significant assets will be assessed in greater detail in Stage 3, assessing management of data. The information collected in Stage 3 will assist auditors to identify weaknesses in data policy and current data creation and curation procedures. This will provide the basis of recommendations in the final stage of the audit. The knowledge gained from the audit will enable organisations to improve data management.

The current version of the methodology is available to download. An Implementation Guide is also available. We welcome your feedback and would been keen to hear the experiences of those who have implemented the methodology to add their lessons as guidance.

Data Audit framework