Very, very helpful article on best practices of handling research data and writing transparent and well documented research.

The authors focus on
(a) type of research design
(b) control variables
(c) sampling procedures, and
(d) missing data management
(e) outlier management
(f) use of corrections for statistical and methodological artifacts
(g) data transformations

Instead of classical textbook approach, this article gives you a very clear hands-on perspective, with a good portion of examples and references.

Definitely worth a read if you do either quantitative or qualitative empirical research!