MY560 Reproducible Pipelines for Social Scientific Research in R presented by Dr Daniel De Kadt
Date:
09/05/2024
Organised by:
London School of Economics and Political Science
Presenter:
Dr Daniel De Kadt
Level:
Advanced (specialised prior knowledge)
Contact:
Crystal Chia
methodology.research@lse.ac.uk
Map:
View in Google Maps (WC2B 4RR)
Venue:
COL 1.06
Data Science Institute
Columbia House
69 Aldwych
London
Description:
Reproducible Pipelines for Social Scientific Research in R presented by Dr Daniel De Kadt
Reproducibility is a key pillar modern social scientific research. It is both good scientific practice to use analytical pipelines that can be easily assessed and run both by oneself and by others, and increasingly necessary for publication in leading social scientific journals.
In this workshop we offer an opinionated introduction to reproducible pipelines – from raw data through results and documents – for social scientific research, focused on the R statistical computing language.
The workshop will be a mix of delivered material focused on theoretical principles of reproducibility and their application in R, and practical coding practice and exercises. We will include perspectives on folder structure, data storage, package control, scripting and modularisation, document creation, and version control, among other topics. While the workshop will be largely introductory, we will also suggest more advanced tools for reproducible pipelines.
Session Details
10:00 - 15:00 BST (Lunch break at 12:00 - 13:00) on 9th May
This is a hybrid event; participants can join in person at COL 1.06, Data Science Institute, Columbia House or online via Zoom. (Zoom link will be distributed closer to the time)
Cost:
Free
Website and registration:
Region:
Greater London
Keywords:
Frameworks for Research and Research Designs, Quantitative Data Handling and Data Analysis, Mixed Methods Data Handling and Data Analysis, ICT and Software, Research Skills, Communication and Dissemination, methodology, quantitative methods, methods training, social research
Related publications and presentations:
Frameworks for Research and Research Designs
Quantitative Data Handling and Data Analysis
Mixed Methods Data Handling and Data Analysis
ICT and Software
Research Skills, Communication and Dissemination