作為對資料導向研究的反思與補充，強調意義開發的厚資料研究途徑於2013年被提出，國內外的相關研究至今仍在探索階段。本文以中國研究中的政治經濟議題作為例子，展示如何以厚資料研究途徑突破與研究對象相關之數據失真的問題。本文主張有意義的數據資料使用是立基於相關行動者的辨認之上，研究者必須能夠釐清兩個問題:形成數據資料趨勢的相關行動者是誰，以及相關行動者的利益與行為動機結構為何。後者將促使研究者將行動者行為之所以產生的脈絡帶入分析中，以此瞭解人類從事該行為的意義。 ..

As a reflection and supplement to data-driven research, thick data was firstly proposed as a complementary method of using data to engage in mean- ing mining in 2013. Through the case of Chinese political economy, this ar- ticle demonstrates how the use of thick data enables researchers to overcome the problem of data distortion. It argues that meaningful use of data sources is based on the identification of actors. In order to do so, researchers are required to answer the following two questions: Who are the actors contribut..

台灣約有六成毒品來自境外，因此「跨境」毒品流動為重要研究主題，亦關乎台灣在國際政治上之非傳統安全領域，但至今少有公開資訊。本研究使用法律資料分析法，探索七萬餘篇法院判決書作為文本資料，描繪「毒品案件要素與結構」。研究發現:(1)近年約有三分之二件毒品案件是累犯，所有案件中之四分之三可易科罰金，兩者佐證現實上監獄負擔過重問題。(2)近年關於毒品之7種犯罪方式之數量增長程度有顯著差異存在，犯案數量由大至小為「施用、持有、製造、販賣、轉讓、運輸、栽種」。(3)就近..

Illegal drug is a serious global problem today. It is necessary to understand its distribution and trafficking routes in order to tackle this problem. Moreover, it is estimated that approximately 60 percent of the illegal drugs in Taiwan came from overseas. Hence, the flaw of cross-border drug control is also an important issue in international affairs. This article uses legal analytics to study 71,629 judgements text involving drug-related crimes to grasp the picture of case factor and structure by text mining technology. It..

厚資料(thick data)這個名詞大約在 2013 到 2014 年間被創造出來。先在網路上流傳，後來出現在管理學的評論及期刊之中。一開始，這個詞的意思是強調「質化」方法的知識建構，多是從人類學的視角出發。但這並不新。其實，「厚」的核心內涵很早就在人類學中被運用，原稱叫作厚實描述(thick description)，因此，現在使用「厚資料」一詞者，不少是從「厚描述」或「厚敘事」(thick descriptions)的人類學民族誌研究方法(ethnog..

As a reflection and supplement to data-driven research, thick data was firstly proposed as a complementary method of using data to engage in meaning mining in 2013. Through the case of Chinese political economy, this article demonstrates how the use of thick data enables researchers to overcome the problem of data distortion. It argues that meaningful use of data sources is based on the identification of actors. In order to do so, researchers are required to answer the following two questions: Who are the actors contributing to the tendency..