Adopting standard variable labels solves many of the problems with sharing and reusing data

Abstract

Datasets and analysis scripts are becoming more available online, but most datasets are still unclear and difficult to use due to poor meta-data. Adopting standard variable label solves most of these problems and is easily implemented if we set the labels at the time of publication, that is, for authors to also establish standard variable labels when they establish for example, question wording. This simple step involves little effort but facilitates the sharing of datasets and analysis scripts enormously. Current initiatives to improve meta-data rely on users spending much time creating new meta-data for each variable, which is time consuming, unenjoyable, and hinders adoption. Some suggestions are made on how brief, unique, and clear variable labels can be developed, especially using the last two digits of the year the scale was published in. Standards for dataset and analysis script etiquette are the future, and the final section of the manuscript examines other easy places simple standards can save time and frustration for (re)users.