Introduction to Research Data Management 2.3.2022 (Aalto University)

00:00 Introduction
01:06 Outline of the presentation
01:34 What is research data?
02:37 What is research data management (RDM)?
03:12 Why is RDM important?
05:46 Open data requirements
07:24 The lifecycle of data
08:07 Planning your work: Data management plan (DMP)
10:27 Why should you write a DMP?
10:46 Questions a DMP should answer
11:52 Data management planning tools
13:19 Considering ethics and legal issues
13:48 Special data types: Personal data, sensitive data, confidential data
15:14 What to consider when working with personal, sensitive and confidential data
17:37 Guidance on ethics and legal issues
19:19 Organising and documenting your work: Will you understand your data in 5 years?
20:43 How to organise data
26:47 Storing and sharing data within your research group
29:48 Publishing your data in a repository or archive
31:05 Why should you publish your data?
32:29 Where can you publish data?
33:44 Examples of published datasets from Aalto University
34:00 Report your data in your institutional repository
35:24 Long-term archiving of especially valuable data
36:47 Further training and help in research data management

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Lecturer's background photograph: Tuomas Uusheimo.