Understanding the alliance data
分析了五个大型联盟数据库在技术联盟覆盖上的一致性和完整性，发现它们只报告了部分正式宣布的联盟，但在行业构成、时间趋势和地理分布上表现出强对称性，且复制先前研究得到相似结果，为数据库选择和研究设计提供参考。
Abstract A considerable body of research utilizes large alliance databases (e.g., SDC, MERIT‐CATI, CORE, RECAP, and BIOSCAN) to study interorganizational relationships. Understanding the strengths and limitations of these databases is crucial for informing database selection and research design. In this study I conduct an analysis of five prominent alliance databases. Focusing on technology alliances (those formed for the purposes of joint research or cross‐technology transfer), I examine the databases' consistency of coverage and completeness, and assess whether different databases yield the same patterns in sectoral composition, temporal trends, and geographic patterns in alliance activity. I also replicate three previously published alliance studies to assess the impact of data limitations on research outcomes. The results suggest that the databases only report a fraction of formally announced alliances, which could have detrimental consequences for some types of research. However, the databases exhibit strong symmetries in patterns of sectoral composition, alliance activity over time, and geographic participation. Furthermore, the replications of previous studies yielded results that were highly similar to those obtained in the original studies. This study thus provides some reassurance that even though the databases only capture a sample of alliance activity, they may yield reliable results for many—if not all—research purposes. This information should help researchers make better‐informed decisions about their choice of database and research design. Copyright © 2008 John Wiley & Sons, Ltd.