Data Practices and Management

Abstract

AbstractEmploying good data management practices is important for enhancing the transparency and validity of research, as well as the reproducibility of research findings. This chapter aims to help early career researchers translate the European Code of Conduct for Research Integrity principles and guidance on data management practices into everyday research. In this chapter we will guide you on data practices and management throughout the lifecycle of research data – data management planning, organizing and storing data, preserving and sharing data, reusing and citing data. You will also learn about the data management procedures relevant to each of the data lifecycle phases – preparation of data management plans, procedures for storing data properly and securely, examples of repositories for preserving and sharing data, licenses for reusing data, etc. The chapter will also outline the FAIR data principles and data protection requirements and safeguards important when handling personal data in your research (GDPR requirements, pseudonymization, anonymization, and deleting data).