International Workshop on Open Data and Applications (IWODA 2016)

Introduction

Open data refers to the freely available of data. People can use the opened data without restrictions. Similar to open source, open access, and some others, Open Data aims to foster the open and the use of data, especially government data. Governments usually own, generate, and collect data. The data can be and should be opened for public use. Open Data is not a brand new concept. However, the term “Open Data” itself is a new terminology. Government around the world have launched their open-data government initiatives and their open data portals to open their data.

This workshop focuses on the research issues about Open Data. The workshop aims to provide a forum for researchers and practitioners to exchange research results and share development experiences on Open Data.

We invite you to submit research idea, research findings, theoretical discussion, insights, frameworks, and cases concerning Open Data. The scope of this workshop is only limited by the imagination of Open Data researchers. Different research approaches including technical, conceptual, political, strategic, organizational, behavioral, economic, and social perspectives are all encouraged. Submissions should contribute to the movement of Open Data.

The International Workshop on Open Data and Applications of the Seventh ASE International Conference on Data Science covers, but not limited to the following research topics.

  • Topic 1: Open Election Data
  • Topic 2: Open Government Data
  • Topic 3: Applications of Open Data
  • Topic 4: Visualize of Open Data
  • Topic 5: Privacy and Law Issues for Open Data
  • Topic 6: Behaviour and Social Issues for Open Data
  • Topic 7: Open Data Development of all Countries
  • Topic 8: Open Data and Government Transparency
  • Topic 9: Open Government Movement
  • Topic 10: Other Issues about Open Data

Submission

Papers of the workshop will be sent to be included the main conference proceedings, which will be published by ACM ICPS (ISBN: 978-1-4503-4129-5) and indexed in ACM Digital Library (Indexed by EI-Compendex)

Full paper manuscripts must be in English with a maximum length of 6 pages.
Submissions must be entered into the Submission System (https://easychair.org/conferences/?conf=misnc2016).
Please select the track of IODW2016 when submitting your manuscript.

Please prepare your paper according to ACM Proceedings Template. You can find the https://www.acm.org/publications/article-templates/proceedings-template.html/

Publishing Opportunities in Journals

Authors of selected papers from the workshop will be invited to submit extended versions of their work to the following journals.

The submitted journal articles must have been substantially expanded and rewritten so that it is significantly different from the workshop papers included in the proceedings (included in ACM Digital Library, and indexed by EI-Compendex). The submitted journal articles must be sufficiently different to make it a separate article. As a guide, authors should provide more than 50% new material in the submitted journal articles. Authors can publish short version articles in the proceedings and submit full length or revised articles to the journals after the conference. The journals will make comparisons of the submitted journal article with the original conference/workshop paper.

Organizing Committee

Prof. Leon S. L. Wang, National University of Kaohsiung, slwang@nuk.edu.tw
Prof. Chih-Chien Wang, National Taipei University, wangson@mail.ntpu.edu.tw
Dr. Chien-Chang Chen, Tamkang University, ccchen34@mail.tku.edu.tw
Dr. Min-Yuh Day, Tamkang University, myday@mail.tku.edu.tw
Prof. Chia-hung Tsai, National Chien Chi University, tsaich@nccu.edu.tw
Prof. Hsin-Chang Yang, National University of Kaohsiung, yanghc@nuk.edu.tw
Dr. Cathy S. Lin, National University of Kaohsiung, cathy@nuk.edu.tw

Co-Sponsors

The International Workshop on Open Data and Applications is co-sponsored by the following co-sponsors:
Academy of Taiwan Information Systems Research
Open Data Alliance, Taiwan
Center of Open Data, National University of Kaohsiung, Taiwan
E-Business Research Center, National Taipei University, Taiwan

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