It is hard to believe that the internet was founded roughly sixty years ago. With the advent of the internet came new vocabulary: big data, social networks, data smog, data traces, data collaboratives, telehealth, tele mental health, cloud computing and countless other new ideas. Simultaneously with the rise of these new data sources inanimate objects became smarter, we’ve birthed: smart cities, smart cars, smart phones, smart watches, and smart homes; with surely other new smarter objects in the near future. The technology sector has is also moving forward with virtual and augmented reality for everything from training employees to gaming as well as new developments in artificial intelligence. This new ecosystem requires expanding and developing existing theories and methods as well as creating new methods for exploring the impacts of these new tools on individuals, organizations and communities. The internet, social networks and smart phones, now embedded in day to day life both generate data, providing new data sources as well as offering new methods of data collection, analysis and interpretation. A commensurate collection of research methods is developing in order to make sense of these new phenomenon, e-Research is a generic term, coined to describe innovations in research methods that are emerging to take advantage of this new and vastly more powerful digital eco-system. Key features of these next generation of distributed digital technologies are the development of interoperable, scalable computational tools that make it possible for researchers to locate, access, share, aggregate, manipulate and visualize digital data seamlessly across the Internet on a scale previously unimaginable. This first issue of 2020, volume 39 (1) features four articles exploring e-Research or digital research methods for enhancing and expanding our collective understanding of how to maximize our research potentials within and allied to these new systems. In this issue we feature:

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改变现实，改变方法：数字研究方法

很难相信互联网成立于大约60年前。随着互联网的出现，出现了新的词汇：大数据，社交网络，数据烟雾，数据踪迹，数据协作，远程医疗，远程心理健康，云计算和无数其他新概念。随着这些新数据源的兴起，无生命的物体变得更加智能，我们诞生了：智能城市，智能汽车，智能手机，智能手表和智能家居。肯定会在不久的将来与其他新的更智能的对象一起使用。技术领域也正在通过虚拟和增强现实技术向前发展，从培训员工到游戏以及人工智能的新发展，应有尽有。这个新的生态系统需要扩展和发展现有的理论和方法，并创造新的方法来探索这些新工具对个人，组织和社区的影响。如今嵌入到日常生活中的互联网，社交网络和智能手机都可以生成数据，提供新的数据源以及提供新的数据收集，分析和解释方法。为了理解这些新现象，正在开发一系列相称的研究方法，电子研究是一个通用术语，旨在描述正在利用这种新的，功能更强大的数字生态系统而出现的研究方法的创新。 。这些下一代分布式数字技术的关键特征是可互操作性，可扩展的计算工具，使研究人员能够以前所未有的规模在互联网上无缝地定位，访问，共享，聚合，操纵和可视化数字数据。2020年第一期，第39卷（1）共有四篇文章探讨电子研究或数字研究方法，以增强和扩展我们对如何最大程度地利用这些新系统并与之相关的研究潜力的集体理解。在本期中，我们的特色是：第39卷（1）中有四篇文章探讨了电子研究或数字研究方法，以增强和扩展我们对如何最大程度地利用这些新系统并与之关联的研究潜力的集体理解。在本期中，我们的特色是：第39卷（1）中有四篇文章探讨了电子研究或数字研究方法，以增强和扩展我们对如何最大程度地利用这些新系统并与之关联的研究潜力的集体理解。在本期中，我们的特色是：