Ten Simple Rules for Reproducible Computational Research
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PLOS Computational Biology 9 (10): 1-4 (Oktober 2013)

Rule 1: For Every Result, Keep Track of How It Was Produced Rule 2: Avoid Manual Data Manipulation Steps Rule 3: Archive the Exact Versions of All External Programs Used Rule 4: Version Control All Custom Scripts Rule 5: Record All Intermediate Results, When Possible in Standardized Formats Rule 6: For Analyses That Include Randomness, Note Underlying Random Seeds Rule 7: Always Store Raw Data behind Plots Rule 8: Generate Hierarchical Analysis Output, Allowing Layers of Increasing Detail to Be Inspected Rule 9: Connect Textual Statements to Underlying Results Rule 10: Provide Public Access to Scripts, Runs, and Results
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