Data Narratives are containers of information about computationally generated data.
Data narratives have three major components:
Different narrative accounts can be generated, each for a separate audience with different content and details. Data narratives help make science more transparent, because they ensure that the resources are persistent (always accessible) and that the generation of the data is presented in a way that humans can easily use.
For example, consider the result Image1476159251570 , product of a workflow for topic detection. A possible data narrative, focused on the execution view, would be the following:
While a narrative focused on the data view would be:
Other narratives may focus on the method view used to produced the result, step by step view or a software view with the description of the particular algorithms and implementations used to obtain the results. Browse the rest of the Data Narratives of the image results if you want to see other narratives.