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Data Collection Workshop for Social Sciences and Humanities
Are you going to start working with digital data or are you already in the process? If you would like to learn more about how to collect digital data, store it properly and not least what we can and cannot do with data, then here is the workshop to help you get started!
SDU Library and SDU RIO, together with researchers from the Faculty of Humanities, have organized a workshop that focuses on data collection, rules and opportunities, data storage and organization. Part of the workshop will be hands-on exercises, where you will learn easy ways to collect digital data and how to prepare it for data analysis.
So, team up with your colleague and come to the data collection workshop at the library on 31/10-24 at 10-14!
The workshop is open for all researchers at SDU, and is approved for 1 ECTS point by the PhD Schools at Social Sciences and Humanities. In order to get the ects point there is a short after-workshop-assignment and some preparations (see under further details below). If you are a phd student, please state it in the registration form.
Language: The workshop will be in English, if there are non-Danish speaking participants. Otherwise we will have it in Danish.
- Date:
- 31/10/2024
- Time:
- 10:00 - 14:00
- Location:
- Bibliotekets undervisningslokale, Campusvej Odense
- Campus:
- Odense
- Audience:
- Ansatte Øvrige Ph.d.
- Categories:
- Forskningsværktøj
Requirements for ECTS points (PhD Students):
Preparations (reading material):
Gualandi, B., Pareschi, L. and Peroni, S. (2023), "What do we mean by “data”? A proposed classification of data types in the arts and humanities", Journal of Documentation, Vol. 79 No. 7, pp. 51-71. https://doi.org/10.1108/JD-07-2022-0146
Marcus Hansen and Daniel Hershcovich. 2022. A Dataset of Sustainable Diet Arguments on Twitter. In Proceedings of the Second Workshop on NLP for Positive Impact (NLP4PI), pages 40–58, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics. https://aclanthology.org/2022.nlp4pi-1.5
Further readings:
Jemielniak, Dariusz, 'Methods of Researching Online Communities', Thick Big Data: Doing Digital Social Sciences (Oxford, 2020; online edn, Oxford Academic, 21 May 2020), https://doi-org.proxy1-bib.sdu.dk/10.1093/oso/9780198839705.003.0003
Evt: kap 2 i Drotner, Kirsten og Mosberg Iversen, Sara: Digitale metoder: at skabe, analysere og dele data, 2017: Datagenerering med API fra sociale netværksplatforme af Vitus Vestergaard
Evaluation:
Take home exercise: Write a synopsis of approximately one A4 page where you describe how you may use topics from the course in your research project(s).
Contents and preliminary program:
The aim is to open the discussion on how we do research on digital data “the right way” – pitfalls, legal issues, data protection, ethical issues to be considered etc.
Contents:
Data Collection in the Research Process: when to do what?
Ethics and legal stuff (SDU RIO)
Addressing ethical considerations specific to digital data, including issues related to privacy, consent, and data security.
Discussion of the responsible use of data, especially when working with sensitive information.
What are the legal rules to be considered?
Digital Data Collection Methods:
Introduction to various digital data collection methods such as social media analysis, web scraping, and text mining and insights into the strengths and challenges of each method. This will be the main part with hands-on excercises.
How should the data be organized to be useful?
Digital Data Management, Data Security and Privacy in Digital Research:
The importance of securing digital data and protecting participant privacy.
Secure data storage, and the responsible handling of digital information.
What kinds of storage is recommended or required by SDU?
