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The aim of this paper is to provide a brief overview of the evolution of a new e‐research paradigm and to outline key projects and developments in Europe, North America, Canada and Australia. The article also provides a detailed summary of the Dataset Acquisition, Accessibility and Annotation e‐Research Technology (DART) project.

A review of relevant government reports, documents and general literature was conducted.

Projects currently being conducted in Europe, the USA, Canada and Australia are part of an international movement that aims to use modern ICTs to enhance e‐research. The DART project is a significant part of this movement as it has adopted a “whole process” approach to e‐research, and provides a platform for the examination of the technical, legal and policy issues that arise in the new e‐research environment.

Provides an overview of current projects that concern the development of e‐research, with a particular focus on Australian research and the DART project.

The traditional means of pursuing research by having all the parameters and processes under one roof has given way to collaborative mechanisms of performing the same task. Collaborative work increases the quality of research and it is a big contributing factor to augment the growth of the scientific knowledge. This process leads to training of new and well-informed academicians and scientists. e-Research (Electronic Research) has gained significant amount of traction as technology serves as the backbone for undertaking collaborative research. The purpose of this paper is to provide a synoptic view of existing research surrounding e-Research and suggest a data lifecycle model that can improve the outcome of collaborative research.

Systematic literature review methodology has been employed to undertake this study. Using the outcome of the literature review and the analysis of the existing data lifecycle models, an improvised version of the data lifecycle model has been suggested.

This study has brought a conceptual model for data lifecycle for collaborative research. The literature review in the domain of e-Research has shown that the focus of these papers was on the following stages of data lifecycle model: concept and design, data collection, data processing, sharing and distribution of data and data analysis.

In this paper, only journal papers have been considered and conference proceedings have not been included for literature review.

This paper suggests a conceptual model for the data lifecycle for collaborative research. This study can be useful for academic and research institutions to design their data lifecycle model.