A large number of finance research seem to start with data or the questions that journal editors may find interesting. Taking advantage of the explosion of new data, some scholars tend to tackle simple and high-level questions. In so doing, they enjoy the first-mover advantage and win citations. Other scholars network and try to be faster in grasping tastes of journal editors. There is nothing wrong with these efforts. But if such data- and relation-driven research are dominant, the social value and the real impact of knowledge finance research create can be at best limited. Also, data- and relation-driven research are more likely to encounter competing work and be written in a hurry and thus of insufficient quality.