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060084 UE Basics of data management in archaeology (2019W)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
- Anmeldung von So 01.09.2019 12:00 bis Mo 30.09.2019 23:59
- Abmeldung bis Mo 30.09.2019 23:59
Details
max. 20 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Vorbesprechung: Do, 31.10.2019, 12 - 13 Uhr, SR 13
LV-Termine:SR 13:08.11. (14:00-17:00), 15.11. (14:00-16:00), 22.11. (14:00-16:00), 29.11. (14:00-17:00)GIS-Labor:
06.12. (14:00-15:30), 13.12. (14:00-15:30),
10.01. (14:00-15:30), 17.01. (14:00-15:30), 24.01. (13:00-16:00, Presentations), 31.01. (14:00-15:30)
Donnerstag
31.10.
12:00 - 13:00
Seminarraum 13 Franz-Klein-Gasse 1 4.OG
Freitag
08.11.
14:00 - 16:00
Seminarraum 13 Franz-Klein-Gasse 1 4.OG
Freitag
15.11.
14:00 - 16:00
Seminarraum 13 Franz-Klein-Gasse 1 4.OG
Freitag
22.11.
14:00 - 16:00
Seminarraum 13 Franz-Klein-Gasse 1 4.OG
Freitag
29.11.
14:00 - 16:00
Seminarraum 13 Franz-Klein-Gasse 1 4.OG
Freitag
06.12.
14:00 - 15:30
Seminarraum 13 Franz-Klein-Gasse 1 4.OG
Freitag
13.12.
14:00 - 15:30
Seminarraum 13 Franz-Klein-Gasse 1 4.OG
Freitag
10.01.
14:00 - 15:30
Seminarraum 13 Franz-Klein-Gasse 1 4.OG
Freitag
24.01.
13:00 - 16:00
Seminarraum 13 Franz-Klein-Gasse 1 4.OG
Freitag
31.01.
14:00 - 15:30
Seminarraum 13 Franz-Klein-Gasse 1 4.OG
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Mindestanforderungen und Beurteilungsmaßstab
Attendance & active participation in classroom group activities 40%
Independent homework/reading assignments 30%
Final project and presentation 30%
Independent homework/reading assignments 30%
Final project and presentation 30%
Prüfungsstoff
Literatur
Will be presented on moodle
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mo 07.09.2020 15:20
The first part introduces the different data types and management systems usually applied in archaeology. The students will learn how to properly store archaeological data with special attention given to tabular data, controlled vocabularies and guidance on how to omit data redundancy. It discusses applications with different questions and addresses the needs of different data types, e.g. for quantitative analyses and spatial operations.
Afterwards, the issue of necessary metadata to document this process for ensuring data reusability will be addressed. Because archaeologists often have to work with existing data that might not comply with best practice and do, therefore, not allow for functional data retrieval, this introduction will also cover practical advice on how to work with and clean such data.
In the next stage, students will create a relational database. First, they will learn how to design a data model suitable for the specific nature of archaeological data and how such a model affects the process of data retrieval. Second, they will learn how to compose simple queries to gain information from the designed database. In a further step, the special data type and model necessities for spatial data are explained and presented using examples.
In the last part of this lecture series, ontologies will be introduced. Using the example of the CIDOC Conceptual Reference Model for cultural heritage, it will be shown how an ontology differs from a database, what are its advantages, limits and technical possibilities.
Besides a variety of different theoretical concepts, this course will provide students with a basic but practical knowledge of working with OpenRefine, Microsoft Excel and Access and simple geospatial file types to be imported into a Geographic Information System.