# Open Data for Open Innovation: An Analysis of Literature Characteristics
## 5 Conclusions  
There is growing interest from both academic and professional scenarios of studying the innovation topic under the perspective of openness [83] and the reuse of open data [80]. One of the main effects of this reuse is the possibility of innovating and creating new businesses or developing new products or services for citizens [8; 9]. Therefore, these two concepts are fully related and it is necessary to deepen, from the academic context, in their joint study in order to guide to the managers to take advantage of open data and open innovation. Literature reviews are very useful to know the state of the art about a topic. In this sense, we have found some literature reviews about open data or open innovation, but there are still no studies that jointly analyse both topics. This paper tries to cover this gap in the literature by formulating three research questions. To this aim, we have carried out a search of the papers that include open data and open innovation research. We have identified just 55 documents. Many of them are in the initial stages of the research because they are conference papers. It seems logical to say that the joint study of these two topics is emerging and that several documents have not yet been published but are being presented in various academic and professional forums. To answer the first research question, two analyses have been carried out. Firstly, we have identified the main journals and conferences that publish papers on these topics. The results show that the documents are published in journals of different knowledge areas, Computer Science and Engineering and Public Administration that analyse the issue of open data. Other knowledge areas are focused on open innovation such as Business, Management and Accounting or on the practical applications that have the use of open data to perform open innovation, as is the case of applications or examples of its use in knowledge areas related to Health Sciences, Engineering or the knowledge area of Museology. Secondly, the paper identifies the authors that have published in these issues. It is observed that there is still little productivity per author (maximum three articles), which confirms that this line of research is in its initial stages. The authors are related to knowledge areas as Computer Science, Information Technology and Economics. If we consider their affiliation, the authors of research institutions of Japanese, Korean or Taiwanese universities stand out. There is also a presence of European researchers (Spanish, Finnish and Swedish) among the top authors. To answer the second research question, knowledge areas are analysed. The main conclusion is the multidisciplinary character of this topic. The most outstanding knowledge areas are Information Technology and Computer Science. Also, from other areas such as Public Administration, Business and Management, and Medicine, papers are being carried out focused on aspects more related to management issues and the application of open data to open innovation. Regarding the third research question, it is observed that although it is an emerging topic, most of the papers (65.5%) are empirical. This result highlights the need to carry out more theoretical studies that help lay the foundations and the theoretical bases to jointly study these two issues. Moreover, most of the empirical papers are qualitative (61%), which is consistent with the state of development of the research line. The most used technique is the case study. This methodology helps to understand, solve or improve a professional world procedure [84] and is appropriate when the phenomenon investigated is exploratory and descriptive and when primary information is available. As the literature is not conclusive, it is necessary to carry out an in-depth and qualitative analysis on the topic. In this sense, it is observed that 50% of the articles analysed use primary information sources and there are some that combine primary and secondary.