Universität Wien
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070268 KU Course (2017S)

Management of Digital Research Data

3.00 ECTS (2.00 SWS), SPL 7 - Geschichte
Continuous assessment of course work

Prior completion of Method Workshop 070280 is strongly recommended for students who lack solid computer skills.

Students will need to bring a laptop computer for classroom use. If this presents a problem, please contact the course instructor in advance.

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

This class will begin punctually; please be on time!

  • Wednesday 22.03. 09:45 - 11:15 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Wednesday 29.03. 09:45 - 11:15 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Wednesday 05.04. 09:45 - 11:15 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Wednesday 26.04. 09:45 - 11:15 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Wednesday 03.05. 09:45 - 11:15 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Wednesday 10.05. 09:45 - 11:15 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Wednesday 17.05. 09:45 - 11:15 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Wednesday 24.05. 09:45 - 11:15 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Wednesday 31.05. 09:45 - 11:15 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Wednesday 07.06. 09:45 - 11:15 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Wednesday 14.06. 09:45 - 11:15 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Wednesday 21.06. 09:45 - 11:15 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7
  • Wednesday 28.06. 09:45 - 11:15 Hörsaal 30 Hauptgebäude, 1.Stock, Stiege 7

Information

Aims, contents and method of the course

The first stage of almost any digital humanities project is to collect and organize the data that will be studied; this might be texts, images, spreadsheets, or any other collection of information and resources. In this class we will focus on the management, organization, and modeling of the digital data we collect. The lessons will cover how to process and access flat-file formats such as Excel and CSV, how to build tabular data up into a relational database, alternative database solutions such as XML databases for projects that make heavy use of XML encodings such as that of the TEI, and data storage and modeling with the use of graph databases.

Assessment and permitted materials

Assessment will be on the basis of participation, homework assignments, and a practical test at the end of the semester.

Minimum requirements and assessment criteria

Examination topics

Reading list


Association in the course directory

MA Geschichte 14: Methodenkurs zum Schwerpunkt Digital Humanities (3 ECTS) |

Last modified: Mo 07.09.2020 15:30