Workshop program - Natasha Simons
Research Data Management workshop at the iSchools Data Science Winter Institute, 7-9 December 2017, University of Hong Kong
Measures of Dispersion and Variability: Range, QD, AD and SD
Ischools workshop - program
1. Managing Research Data Workshop
iSchools Winter Institute, Hong Kong
Thursday 7 December 2017
3 hours: 2.00-5.30pm (with 30 mins break from 3.30-4.00pm)
Presenter: Natasha Simons, Australian National Data Service
Student assistants:
Link to workshop materials: https://tinyurl.com/ybsmu8x4
Learning outcomes
At the end of this workshop, you will be able to:
● Understand relationships between data and research lifecycles and the connections
between them
● Articulate the theory and practice of Data Management Plans, including references to
new and emerging DMP tools and approaches
● Understand how data is discovered and what information helps potential users evaluate
which data may be useful
● Understand the role of metadata, controlled vocabularies and persistent identifiers in
data discovery
● Cite data in line with standards and principles
● Refer to practical examples, particularly those from Australia, in relation to the above
Required reading
ANDS Guide: Research Data Management in Practice
Resource: 23 (research data) Things
Blog post: DMRs, making DMPs relevant again
Webpage: Working with Data: Metadata
Video: Persistent Identifiers and Data Citation Explained
Webpage: Joint Declaration of Data Citation Principles
Recommended reading
Webpage: About the Australian National Data Service (ANDS)
Webpage: The ANDS, Nectar and RDS partnership
Journal article: Machine-actionable Data Management Plans
Journal article: A Data Citation Roadmap for Scholarly Data Repositories
Webinars: ANDS YouTube channel - choose ones that interest you from playlists such as
Research Data Librarians, Open Data Stories, Research Data Information Integration and
Persistent Identifiers.
2. Workshop program
Start
2.30 Introduction to ANDS, workshop outline, who’s who in the room
2.45 Data in the research lifecycle
● Short intro (5 mins)
● Hands-on: do Thing 3 - Data in the Research Lifecycle (work in pairs) - 10
mins
● Class discussion: How did you find Thing 3? (5 mins)
● Presentation: How do Australian institutions support the data lifecycle (10
mins)
3.15 Data Management Plans:
● Short intro (5 mins)
● Hands-on: do Thing 15 - Data Management Plans (work in pairs) (10 mins)
3.30 Afternoon tea break
4.00 Data Management Plans (con’t):
● Class discussion: How did you find Thing 15? (5 mins)
● Presentation: Australian DMP tools and approaches (10 mins)
4.15 Data discovery and metadata
● Intro presentation: How do people discover data? Includes video (10 mins)
● Hands-on: creating a metadata record with only a dataset (CSV file) to go on!
(in pairs or groups) (15 mins)
● Class discussion: How did you go with the exercise? Time to see the real
metadata records for these datasets. (5 mins)
● Presentation: Australian examples of data discovery portals. (15 mins)
5.00 Data citation and impact
● Intro - includes video (5 mins)
● Hands-on: do Thing 7 - Data citation for access and attribution (work in pairs)
- 10 mins
● Class discussion: How did you find Thing 7? (5 mins)
● Some useful data citation tools
5.20 Bringing it all together
● Review and reflection: One thing you have learnt? One thing you will do?
5.30 Close