The extent and depth of routine health care data are growing at an ever-increasing rate, forming huge repositories of information. These repositories can answer a vast array of questions. However, an understanding of the purpose of the dataset used and the quality of the data collected are paramount to determine the reliability of the result obtained.

This Editorial describes the importance of adherence to sound methodological principles in the reporting and publication of research using ‘big’ data, with a suggested reporting framework for future Bone & Joint Journal submissions.

Cite this article: Bone Joint J 2014;96-B:1575–7.

The Bone & Joint Journal provides the latest evidence to guide the clinical practice of orthopaedic surgeons. The benefits of one intervention compared with another are presented using outcome measures; some may be specific to a limb or joint and some are more general health-related quality of life measures. Readers will be familiar with many of these outcome measures and will be able to judge the relative benefits of different interventions when measured using the same outcome tool; for example, different treatments for pain in the knee measured using a particular knee score. But, how should readers compare outcomes between different clinical areas using different outcome measures? This article explores the use of standardised effect sizes.

Cite this article: Bone Joint J 2014;96-B:853–4.

The importance for observing the intention-to-treat approach in clinical studies is explained.

Cite this article: Bone Joint J 2013;95-B:1443–4.

The variation in surgical performance, both between centres and individual surgeons, has recently been of significant political, media and public interest. Within the United Kingdom, a government agenda to increase accountability amongst surgeons has led to the online publication of ‘surgeon-level’ data. Surgeons, journalists and the public need to understand these data if they are to be useful in driving up standards of surgical care. This Editorial describes the use of Funnel Plots, which are the common means by which such data are presented, and discusses how the plots are generated.

Cite this article: Bone Joint J 2013;95-B:1156–7.