As a part of the Open Data and Data Literacy Project, the Open Data and Data Journalism Association, which was founded in December 2015 by a group of seven people, held the First National Open Data Conference on September 25, 2016 in Antalya Porto Bello hotel. This was final day of a of 3-day camp and 10-week online training, which was attended by 50 participants, five speakers, and seven different coordinators.
The Conference opened with Merve Kartal, Vice chairman of the board who gave an introductory presentation, including the association's animated video followed by a discussion of future plans of the association.
Following the presentation, the chairman of the board Pınar Dağ shared feedback from the first Turkish Data Literacy 10-week MOOC which focused on open data and literacy training, which was held between 10th June to 10th September 2016.
After the opening of the conference, the first speaker was Vehbi Aytekin Sanalan, who made a presentation on text mining, described as achieving potentially useful information and patterns from not very clear, or previously unknown and implicit data. Sanalan gave the examples of his practice, mentioning of the importance of text mining, the relationship with the increase of data, the technical aspects of the business areas (BI), academic research, intelligence and media.
Sanalan summarised his presentation: "The amount of information obtained in the world is increasing in an incredible way. Published artifacts and social media users entries have moved the amount of information in to the range of Exabyte. This increase raises the speed with each passing day. How can individuals benefit from this dizzying increase in knowledge? How can we analyze the large amount of data, especially mainly the data that appears as hypertext, and how can we decided how to interpret this data to make life easier?
Text mining technology can provide various answers to this question. In its simplest definition, text mining is achieving potentially useful information and patterns from not very clear, previously unknown and implicit data. Also known as text analysis, text mining uses two principal techniques as basic natural language processing (NLP) and text analytics. In this framework, it makes possible to draw conclusions and analysis of the text data with a large amount of work with theme analysis, cluster analysis, the emotional analysis of the text, and so on. Since the first time of emergence of text mining, these methods have been used in many fields of business, academic research, intelligence and media."
In its simplest definition, text mining is achieving potentially useful information and patterns from not very clear, previously unknown and implicit data. Also known as text analysis, text mining uses two principal techniques as basic natural language processing (NLP) and text analytics. In this framework, it makes possible to draw conclusions and analysis of the text data with a large amount of work with theme analysis, cluster analysis, the emotional analysis of the text etc... Since the first time of emergence of text mining, it is used in many fields of business, academic research, intelligence and media.
The conference continued with İnan Utku Türkmen who shared strategic planning and data-driven decision-making processes in data science applications using the College Community Project example. He included the growth phase of the project development plan, sharing context and background of the project, and the communities' project data.
One focus of the presentation was the importance of data science, in line with the new strategic plan perspective and the vision of becoming a university city of TED University, through the one of the first project examples, Science and Smart Cities Community College. Focus was also given to some important issues such as data statistics of discrimination science, open data sources and access in Turkey, creating customizable data line, data visualization samples and overall data science applications.
Mutlu Binark continued the conference, and shared information about "The data ethics policy of the Social Science Research in Turkey: data collection on social media ". Regarding the summary of his research, Binark said "The research on social media in recent social science research in Turkey, especially the production of content in the user interface of these media, is collected in various applications. The data is mapped in various ways, it is analyzed by qualitative and quantitative methods. The Association of Internet Researchers has focused its research on ethics in social media, and there are various studies and recommendations of the Ethics Committee in the Nordic countries. In recent years, developing applications and data reporting cases that have been seen in Turkey have been made thanks to especially clear data and linked data from the Internet. "
In all of this research, here are some of the ethical issues that are emerging on collection of data on the use of it: from the scope of work "DATA SOCIAL SCIENCES RESEARCH ETHICS POLICY IN TURKEY : DATA COLLECTION ON SOCIAL MEDIA ENVIRONMENT".
The data ethics policy in social science research in Turkey will be discussed, in regard to collecting data from social media applications. Within the framework of the thematic, the problems will be analyzed by gathering works of NGOs, and the relevant institutional representatives and experts. Later, by organising a workshop in Ankara with these institutions and individuals, suggestions will be collected for problems and possible policy development. Finally, the current situation, problems and suggestions will be considered in detail, by performing in-depth interviews with experts on the subject. In light of the findings obtained after this third stage, different policies and recommendations will be discussed regarding use of data for social science research on social media."
The Fourth guest of the Open Data Conference was Lejla Sadiku, an Open Data expert from the United Nations Development Program who shared examples from Eastern Europe and Central Asia concentrating on Open Data Relationship Between Government and Citizens.
Sadiku focused on two issues faced in getting results with available data. She spoke about strengthening access and full access in regard to global trends, discussing some causes of specific problems, and in this case what can be done. Then, she explained how regional changes occurred in open data. Sadiku pointed out countries using the existing models and encoding, for example: open data policies, access to information legislation or a part of a more comprehensive e-government agenda like Uzbekistan. She also added about 13 countries who participated in the International Open Data Conference (IODC), now running for the past three years.
Continuing of the conference, we heard from Evreka, who are an Intelligent Waste Collection Solutions Company. Umutcan Duman, CEO and founder of the smart city project applications shared ideas about providing financial profit on the value of the processed data. He then talked about the intelligent waste collection and process solutions, and how the software was developed as Evreka Core. He told us about Evreka's stakeholder in the Intelligent waste collection process.
He asked these questions to create discussion; "Is Disaggregated data open data? Is the person who collects the data the owner of that data ?, Should I make my data clear, and why? According to you, which data is there in the city? (Collected, can be collected, can be created, etc.).
10 of the Optional Final Projects Were Shared
As a result of the Mooc ,10 of the 16 participants who produced optional final projects presented these to the group. Education, censorship, unemployment, technology and economic issues were the focus, and support was given to these participants in the data camp held between September 22 to 24.
The Participants had the chance to use the tools that they have learned during e-learning in their projects. Projects can be reviewed by clicking on the links in the presentation.
New Project of Open Data and Data Journalism Association "National Open Data Index 2017 was Shared"
At the close of the First National Open Data Conference, Pınar Dağ shared the National Open Data Index 2017 which is planned for implementation in 2017. It was indicated that they have developed it by contributing since 2013, and Dağ informed the group that the first meeting was held with the Open Knowledge Foundation on September 20. The second meeting will be held on October 15, and in November, installation will be held in the index's Turkish section. The content of the index will start to be translated in December and in the month of January 2017, by identifying the Metropolitan Municipality's 81 provinces and creating a support network of the association members, technical support education will be provided to the responsibilities of the province. In this Project, the target is that as of December each year, and reports will be produced which include a comparison of the Open Data index in some provinces in Turkey.
The purpose of the Project: "Local transparency, to raise awareness in municipalities, create competition between municipalities to improve themselves, to place the concept of open data and draw attention to generated economic awareness, ensure the use of the index as an activist tool, to be an original source, and able to report, etc..."
You can get detailed information about the project from the presentation.
The Conference ended by sharing the association's communication channels. Board members of the Association said that participants can take part in all kinds of projects developed and produced as a member of the association.