PROJECT LEARNING: CREATING A BIG DATA PROCESSING TOOLKIT FOR USE IN DATE JOURNALISM

В статье рассматривается проблема адаптации образовательной программы подготовки ИТ-специалистов к решению сложных инженерных и, одновременно, творческих задач, связанных с развитием дата-журналистики. В качестве источника больших данных используются открытые государственные данные о системе здравоохранения. В статье отражены отдельные положения проектного обучения, сформированного на стандартах проектной и системно-инженерной деятельности, а также на принципах проведения хакатонов, где главным приоритетом является интеллектуальная составляющая работы команды и ее идеи. Приведены некоторые результаты использования проектного обучения при взаимодействии студентов - будущих ИТ-разработчиков с журналистами и исследователями данных. Предложенный подход и полученные на его основе результаты проектного обучения могут использоваться при создании методических рекомендаций для разработки совместных междисциплинарных образовательных программ, объединяющих сферу подготовки будущих ИТ-специалистов и дата-журналистов. The article discusses the problem of adapting the educational program of training IT specialists to solving complex engineering and, at the same time, creative problems associated with the development of data journalism. Open government data on the health care system is used as a source of big data. The article proposes the main provisions of the approach to project training, formed on the standards of project and system engineering activities, as well as on the principles of conducting hackathons, where the main priority is the intellectual component of the team's work and its ideas. Some results of the use of project-based learning in the interaction of students - future IT developers with journalists and data researchers are presented. The proposed approach and the results of project training obtained on its basis can be used to create guidelines for the development of joint interdisciplinary educational programs that combine the field of training future IT specialists and data journalists.

Data Journalist : One Data Indonesia (SDI) Weak of Data

ABSTRACT The government built Satu Data Indonesia (SDI) as part of implementing the principle of open government. Through SDI, all data from the government from in Indonesia including data from government agencies can be easily accessed by visiting the data.go.id website. This situation should be a good ecosystem to develop data journalism in Indonesia, because the government provides abundant data. This study aims to see the implementation of SDI from the perspective of data journalists. Data journalist is a profession that is directly related to SDI, they are tasked with managing data to be presented to the public in a simple and easy-to-understand manner for the general public. By interviewing data journalists from Katadata and Lokadata (two online media who declare themselves as data journalism), this qualitative research is expected to provide constructive input on the implementation of One Data Indonesia. In general, the existence of SDI is appreciated by data journalists. But data journalists from Katadata and Lokadata do not use SDI as part of their news-seeking activities. They see SDI has basic problems, the lack of data availability, data relevance problems, problems with easy data access, no data updates (updates) to data reliability. In addition, problems with data updating and data reliability, on the other hand, not all regions in Indonesia are connected to SDI. As a result, data journalists do not use Satu Data Indonesia as an instrument to make news. They prefer to dig up data through data mining on the internet and collect data gradually in their data bank for processing at a later date. Keywords: One Data Indonesia, Open Government, Online Media, Data Journalism