《学术论文写作与发表指引》是一本写给人文社科领域学术论文写作与发表者的实用手册，它可以帮助该领域各学科的研习者学习如何更高效地进行学术论文写作与发表，从而避免许多学者走过的弯路，掌握学术论文写作与发表的规范和技能。全书对选题、开题、阅读文献、提出问题、谋篇布局，开题报告和项目论证书的撰写、摘要和关键词的写作，文章的校对、投稿、发表等学术论文写作与发表的各个步骤和环节进行详解，系统阐述了学术论文写作与发表的方法和技巧，以及各个环节的相关注意事项，为读者提供了极具操作性的详细指引。作者以学术论文编辑和写作者的双重身份，直击论文写作与发表过程中的各个痛点，使得本书成为论文写作者难得的良师益友。

内容提要：近年来质性研究在各个领域(例如医、文、护理、管理、人类、心理、社会、教育及民族音乐)逐渐受到正视。数位时代的来临，改变的不只是传统的思维，也加深、挑战、改变与转换研究的方式，在研究过程中，可以透过计算机辅助质性资料分析软件(Computer Assisted Qualitative Data Analysis Software, CAQDAS)帮助组织和管理大量文字，运用多媒体素材处理资料，链接网络与整合研究，以增进资料分析的可靠度与真实性。
NVivo 10(N10)是国际最早也是目前最新的CAQDAS，延续N9音频、视频、图与文档资料分析的功能外，N10新增的NCapture，可以撷取网页、PDFs与Facebook，LinkedIn或Twitter等社交媒体，并提供英文、简体中文、法文、德文、巴西与墨西哥等六种界面语言，亦可利用云端，将N10项目储存于服务器，基于上述，它可以透过网络无远弗届的特性，协助研究者进行跨域、跨国或跨年度的整合研究，经过十多年的使用心得，N10已确定能协助质性研究者在分析历程中提升准确度和效率。

An innovative and accessible guide to doing social research in the digital age
In just the past several years, we have witnessed the birth and rapid spread of social media, mobile phones, and numerous other digital marvels. In addition to changing how we live, these tools enable us to collect and process data about human behavior on a scale never before imaginable, offering entirely new approaches to core questions about social behavior. Bit by Bit is the key to unlocking these powerful methods―a landmark book that will fundamentally change how the next generation of social scientists and data scientists explores the world around us.
Bit by Bit is the essential guide to mastering the key principles of doing social research in this fast-evolving digital age. In this comprehensive yet accessible book, Matthew Salganik explains how the digital revolution is transforming how social scientists observe behavior, ask questions, run experiments, and engage in mass collaborations. He provides a wealth of real-world examples throughout, and also lays out a principles-based approach to handling ethical challenges in the era of social media.
Bit by Bit is an invaluable resource for social scientists who want to harness the research potential of big data and a must-read for data scientists interested in applying the lessons of social science to tomorrow’s technologies.
Illustrates important ideas with examples of outstanding research
Combines ideas from social science and data science in an accessible style and without jargon
Goes beyond the analysis of “found” data to discuss the collection of “designed” data such as surveys, experiments, and mass collaboration
Features an entire chapter on ethics
Includes extensive suggestions for further reading and activities for the classroom or self-study

做学问、搞研究离不开发表。但如何发表？有没有标准、有没有方法呢？著名学者香港中文大学李连江教授针对年轻学子在学术发表、学术研究与学者生涯等方面最为关心的问题进行了解析。全书分为六讲，分别从学术期刊的审稿标准、选题、原创、表达、投稿、学者生涯六个方面进行了探讨。有术、有道，术道结合。对于年轻学者以及即将走上学术道路的青年学子助益良多，尤其在当下学术体制考核的大背景下，本书的出版具有重大的现实意义。