This article proposes measures and policies which can be adopted by journals and publishers to promote good practices in data sharing.

Approaches for assessing the costs and benefits of publishing scientific data in various repositories are evaluated. The article identifies metrics useful for the reporting of their data services.

Addressing the most pressing contemporary social, environmental, and technological challenges will require integrating insights and sharing data across disciplines, geographies, and cultures. Strengthening international data sharing networks will not only demand advancing technical, legal, and logistical infrastructure for publishing data in open, accessible formats; it will also require recognizing, respecting, and learning to work across diverse data cultures. This essay introduces a heuristic for pursuing richer characterizations of the “data cultures” at play in international, interdisciplinary data sharing. 

This article discusses how data citation has evolved over the last couple of decades and highlights issues that need more research and attention.

Effective Research Data Management (RDM) is a key component of research integrity and reproducible research, and its importance is increasingly emphasised by funding bodies, governments, and research institutions around the world. However, many researchers are unfamiliar with RDM best practices, and research support staff are faced with the difficult task of delivering support to researchers across different disciplines and career stages. What strategies can institutions use to solve these problems? Engaging Researchers with Data Management is an invaluable collection of 24 case studies, drawn from institutions across the globe, that demonstrate clearly and practically how to engage the research community with RDM.

A new report summarises the results of a survey of European research funders on Open Access and Research Data policies, commissioned by SPARC Europe.

Article: Teaching Research Data Management for Students

While research data support units now exist in many universities, these are typically not able to provide discipline-specific expertise or resources. This article focuses on the Data Champion Programme at the University of Cambridge, which empowers discipline-specific expertise already embedded within each unit to advocate for good RDM and to deliver support locally.

Recent reports suggest that there has been an increase in the number of retractions and corrections of published articles due to post-publication detection of problematic data. Moreover, fraudulent data and sloppy science have long-term effects on the scientific literature and subsequent projects based on false and unreproducible claims. The JCI introduced several data screening checks for manuscripts prior to acceptance in an attempt to reduce the number of post-publication corrections and retractions, with the ultimate goal of increasing confidence in the published papers.