(11th) 12th - 16th July 2022

Data management and processing in archaeology

Archaeology is a discipline that produces more and more data in many forms, whether from fieldwork or research. By its nature, archaeology works on incomplete and contriving data, but the development of digital tools now make it possible to consider applying our questions to larger quantities of variables and information, particularly through LOD.
The MOSAICdata Summer School aims to bring together PhD candidates and researchers to discuss the management of this data and the tools available to process it. Therefore, it will be a matter of developing existing techniques for collecting archaeological data, curating them, aligning them, and implementing them. Finally, it will also be an opportunity to discuss good practices when using digital data.

Organisers

Loup Bernard, Oliver Nakoinz, Lizzie Scholtus, Franziska Engelbogen

Contact

mosaicdata@tutanota.com

About MOSAICdata

International Research School

Data management and processing in archaeology Archaeology is a discipline that produces more and more data in many forms, whether from fieldwork or research. By its nature, archaeology works on incomplete and contriving data, but the development of digital tools now make it possible to consider applying our questions to larger quantities of variables and information, particularly through LOD. The MOSAICdata Summer School aims to bring together PhD candidates and researchers to discuss the management of this data and the tools available to process it. [Read More]

Application

Application form to MOSAICdata

Applications are open to researchers and young researchers (doctoral and post-doctoral), as well as to all archaeology professionals. Although an interest in data processing and analysis is expected from participants, a thorough knowledge of the methodology or software is not required.

To apply to this summerschool please fill in this application form and send it to : mosaicdata@tutanota.com

Download the application form

Please send this form before February 28th

Blocks

Presentations

Block 0: Introduction to R

Part 1

Part 2

Part 3

exercice correction

Block 1: Regular Expressions

O. Marlet presentation

R. Witz presentation

Exercices

gitlab link

Block 2: Conceptual Database Modelling

O. Nakoinz presentation

Block 3: Handling and manipulating spatial data

G. Günther presentation 1

G. Günther presentation 2

Block 4: Quantitative and reproducible analysis

L. Bernard presentation

L. Scholtus presentation

Exercices L: Scholtus

Information

Accomodation

Night of 10 July The participants arriving on the 10 July will be accomodated in the CIARUS youth hostel: CIARUS 7 Rue Finkmatt 67000 Strasbourg CIARUS website To go there from the train station you can take the bus 10 outside of the station direction “Brant Université”. Go out on the third stop “Place de Pierre”. From the airport, you can take a train that will bring you to the train station and then take the bus. [Read More]

Information

Price

Lunch and accommodation in a youth hostel will be provided free of charge for the participants. Participants will have to pay for their own travel cost.

Information

Venue

Maison Interuniversitaire des Sciences de l’Homme - Alsace

The summerschool will be held at the Maison Interuniversitaire des Sciences de l’Homme -Alsace (MISHA) in Strasbourg :

5 Allée du Général Rouvillois
67083 Strasbourg
France

misha website

Program of MOSAICdata

International Research School

This summerschool will last six days during which several data management and processing methods, in different fields, will be illustrated and implemented using the Rstudio software.

Program

Tutorials

How to ... ?

As most of our participants are unfamiliar to R, we collected some helpfull tutorials. Prior starting to explore R, installing R is mandatory. Additionally, R Studio needs to be installed as we will work with R Studio during the course. R: The R Project for Statistical Computing R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. [Read More]