Research in the disciplines represented in the Faculty of Arts increasingly involves collecting large bodies of data which are stored in digital formats. Researchers therefore need expertise in managing such data in accordance with best practice and with the requirements of the university and of funding bodies. This training module will cover basic topics in data management including:
- what is required of researchers by the university and other bodies;
- how data management practices intersect with other aspects of research such as obtaining ethics clearance and publication possibilities;
- current best practice in handling various types of data and metadata;
- resources and assistance available to researchers, both within the university and beyond it;
- preparing a data management plan at the outset of a research project.
The module consists of five x two hour sessions and participants must attend all of them to complete the training. They will take place on the Clayton campus from the 25th of November to the 29th of November, 10:00am-12:00pm.
Instructions for those attending
(Please note these instructions are for those who have already registered for the training module. All available places for these sessions have been filled.)
The training will take place from 10:00AM – 12:00PM each day between Monday November 25 and Friday November 29. The venue will be Building 11 (Menzies) Room E365 except for Wednesday November 27, when the session will be in Building 60 Room G11.
To prepare for the first session:
- Please read the Monash University policy on Research Data Management: HDR Candidates Procedures.
- Download the Monash University Research Data Planning Checklist (Higher Degree by Research Student), familiarize yourself with its contents and think about how you would respond to the items on the checklist.
- Think about the following question and be prepared to contribute to a discussion on the topic in the opening session:
You will (we hope) complete your PhD in 3-3.5 years. Can you imagine any technological developments which will or may occur over that period which will impact on decisions you make about research data now? (Feel free to speculate wildly!)
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