User Guide for a Data-to-Knowledge Package #32
Description
User Guide: Creating a Data-to-Knowledge Package
Note: This document is a draft. Please send your questions, comments, and suggestions to m.konkol[at]52north.org.
This user guide provides instructions on how to create a Data-to-Knowledge Package (D2K-Package) as described in this paper.
Target audience:
Users who have an analysis pipeline (workflow) written in, for instance, R or Python and would like to make it available in a more reproducible and reusable way.
Problem statement:
Publishing and reusing reproducible research is challenging. Users still need to make considerable efforts to understand the data and analysis code before they can reuse parts of the analysis in other contexts
Solution:
Based on a reproducible basis (code + data + computational environment), further applications including virtual labs, web API services, and workflows are built to provide an entry point to the analysis and encourage reuse. The result is a so-called Data-to-Knowledge Package.
Document
The current version of the user guide is available under https://doi.org/10.5281/zenodo.15772477