Context:

Researching with data from external sources requires a clear understanding and assessment of the quality as well as accuracy, completeness, and consistency of the data. For this purpose, researchers need accessible criteria, metrics and tools for evaluating data quality. It is especially desirable if there are tools that can automatically or semi-automatically assess the quality of the data according to a standard, helping researchers to quickly determine whether the data meets their needs. In addition, the platform provides a section with reviews, where users rate their experience with the resources.

Trigger:

A researcher wants to evaluate the quality of data from an external source or another research project using available metrics and tools.

Actions:

• The researcher visits the DALIA portal.
• The researcher logs in. (optional, if logged in, researcher gets more personalised recommendations)
• The researcher enters specific search terms to query criteria, metrics and tools for evaluating data quality, such as “assess data quality”.
• The search tool provides a list of relevant materials from the knowledge base (including metric standards, and tools)
• Optional: The researcher refines the search results using the filter options, e.g. by selecting the researcher’s discipline.
• The researcher selects suitable material.
• The researcher is referenced to the tools source, including (optional) download, documentation and contact to the maintainer.

Expected Results:

• The researcher finds domain-specific, established metrics and tools for data quality assessment.
• The researcher can quickly access and find metrics and tools without spending excessive time.

Acceptance Criteria:

• Established, domain-specific metrics and tools for different disciplines are available.
• Detailed documentations on how to apply metrics and tools across different data sets and domains are provided.