Title: Management of Scientific Data
Lecturers: Alsayed Algergawy
Birgitta König-Ries
Felicitas Löffler
Friederike Klan
Javad Chamanara
Kobkaew Opasjumruskit
Michael Owonibi
Roman Gerlach
Sirko Schindler
Sven Thiel
Pawandeep Kaur
Starts on: 2017-04-03
Ends on: 2017-07-07
Time and Location: Mon, 14:00 - 16:00 Tue, 16:00 - 18:00 SR 130, CZ
Website: Link


Data is becoming more and more crucial for scientific progress. Terms like data-intensive or even data-driven science and Big Data are evidence of that. However, this new breed of science will only be successful, if data is properly managed along its entire lifecycle. The course provides you with the necessary tools to do just that.

The course follows the data lifecycle and explores challenges, solutions and open problems of the individual steps, including:

• Overview of the data lifecycle: data collection, quality assurance, data storage and preservation, data analysis and visualization, data publication, data discovery, data reuse and hypothesis generation

• Cross-cutting topics covered include: Metadata standards and ontologies, scientific workflow management, persistent identifiers for data, data provenance and versioning.

The module will be taught in English.