Lesson plan 15: Research data management – overview and best practices
FAIR elements: All
Primary audience(s):
This lesson is intended to deliver a concise overview of the research data management (RDM) principles and practices for master's degree students or professional audiences of vocational education and training.
Learning outcomes:
Understanding the RDM process and main use cases
Understanding Open Research and Open Data (definition, standards, Open Data use and reuse, open government data, European policies and initiatives)
Understanding FAIR principles in research data management, maturity model and compliance
Working with sensitive, personal or private data (General Data Protection Regulation [GDPR] and its requirements, ethics approval process and form)
Understand what a data management plan is, its purpose and benefits for a project or organisation
Know tools, guides, templates to support RDM, metadata management, DMP creation
Apply the acquired knowledge in practice, namely be able to create a DMP, create and publish data and metadata
Understand the key roles in RDM: Data Steward, Chief Data Officer, Data Protection Officer and other employees of the institution who can support the creation of DMP
Delivery format:
This lesson can be delivered in the form of a tutorial, webinar or self-paced self-study course
Required time: 2 lecture sessions (1.5 hrs each) and 1 practice session (approx 1.5 hrs)
Prerequisites:
Basic knowledge of computer software and applications
Understanding of organisational and/or research process and data used or produced
Lesson topics (Summary of tasks/actions):
A. Use cases for research data management and stewardship
Preserving the scientific record
B. Data management elements (organisational and individual)
Goals and motivation for managing your data
Data formats, metadata, related standards
Creating documentation and metadata, metadata for discovery
Using data portals and metadata registries
Tracking data usage, data provenance, linked data
Handling sensitive data
Backing up data, backup tools and services
C. Responsible data use (citations, copyright, data restrictions)
Data privacy and GDPR compliance
D. FAIR principles in research data management, supporting tools, maturity model and compliance
E. Data management plan (DMP)
F. Data stewardship and organisational data management
Responsibilities and competences
DMP management and data quality assurance
G. Open Research and Open Data (definition, standards, Open Data use and reuse, open government data)
Research data and open access
Repository and self-archiving services
Research Data Alliance (RDA) products and recommendations: persistent identifiers (PIDs), data types, data type registries, etc.
ORCID identifier for data and authors
Stakeholders and roles: engineer, librarian, researcher
Open Data services: ORCID.org, Altmetric Doughnut, Zenodo
Practice:
Hands-on practice including the following topics:
Data management plan design, templates and tools
Metadata and tools, metadata registries
Selection of licences for Open Data and contents, e.g. Creative Commons and Open Database
Materials/Equipment
Collection of DMP templates
Example of metadata for research data and publications
Collection of links to RDM tools, metadata registries
References
General Data Protection Regulation – https://eur-lex.europa.eu/eli/reg/2016/679/oj
Licence selector – https://ufal.github.io/public-license-selector/
DMP Online – https://dmponline.dcc.ac.uk/
DMP Templates – https://guides.lib.umich.edu/c.php?g=283277&p=2138498
Towards FAIR principles for research software – https://doi.org/10.3233/DS-190026
FAIR Cookbook, developed by Life Sciences academics and pharmas, 2021 – https://w3id.org/faircookbook
FAIRsharing for (meta)data standards and interlinked repositories
Take-home tasks
Organisational data management plan creation (using the provided template and/or online tools)
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