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ERIC Number: ED571609
Record Type: Non-Journal
Publication Date: 2016-Dec
Pages: 8
Abstractor: As Provided
Reference Count: 5
ISBN: N/A
ISSN: N/A
Leveraging Data Analysis for Domain Experts: An Embeddable Framework for Basic Data Science Tasks
Lohrer, Johannes-Y.; Kaltenthaler, Daniel; Kröger, Peer
International Association for Development of the Information Society, Paper presented at the International Conferences on Internet Technologies & Society (ITS), Education Technologies (ICEduTECH), and Sustainability, Technology and Education (STE) (Melbourne, Australia, Dec 6-8, 2016)
In this paper, we describe a framework for data analysis that can be embedded into a base application. Since it is important to analyze the data directly inside the application where the data is entered, a tool that allows the scientists to easily work with their data, supports and motivates the execution of further analysis of their data, which would lead to new and interesting findings is desirable. If the analysis process is too complicated, tedious or not apparent, this could restrict scientists, especially in non-IT-related disciplines, from analyzing the data in depth. To enable this solution we first describe the requirements for an analysis tool and explain the steps we took to meet those requirements. Then we describe the steps that are necessary to integrate the analysis into a base application. We also explain how the analysis framework can be extended with new specific components that allow the users to add exactly the features they need for their analysis. [For full proceedings, see ED571459.]
International Association for the Development of the Information Society. e-mail: secretariat@iadis.org; Web site: http://www.iadisportal.org
Publication Type: Speeches/Meeting Papers; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A