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ARCISS organises events for its members and these provide excellent opportunities for learning and networking. These events are
often open to non-ARCISS members when it is considered that the workshop or conference would benefit from a broader range of expertise and experience. However, ARCISS members can attend
at a preferential registration rate as part of their membership benefits.
ARCISS Workshop on Data Security and Confidentiality
Purpose of the workshop
The aim of this workshop is to give participants a grounding in the interrelated issues of data security, data protection, confidentiality and disclosure risk. The workshop is based around the notion of the safe researcher. At the end of the workshop participants should have an understanding of:
1. What it means to be a safe researcher.
2. The key legislation and guidelines and standards covering this area.
3. How to operate an appropriate data security regime when accessing data for research purposes.
4. How statistical disclosure risk issues affect what can and cannot be done with administrative data.
The workshop will be facilitated by Mark Elliot. Mark is world leading researcher in the area of data confidentiality has extensive portfolio of grants and publications in the area and is consulted by statistical agencies across the globe.
Date: 19th January, 2012, 9:30am-3:30pm
Venue: National Institute of Economic and Social Research, 2 Dean Trench Street, Smith Square, London, SW1P 3HE
Outline of the Workshop
| 09:30 |
Arrival, registration, coffee. |
| 10:00 |
Welcome Introduction to the day. |
| 10:10: Session 1 |
Responsibilities of a safe researcher.
In this module considers what it means to be a safe researcher, which can be viewed as a set of actuated legal and ethical responsibilities. We will give an introduction to the legal aspects of using data. However, the primary goal here is not that participants become fully conversant with the every minute detail of data law but are able to think about how a safe researcher would operate, what practices they would engage in, what they are responsible for and who they are responsible for and to. |
| 11:00 |
Break |
| 11:15: Session 2 |
Creating safe settings and data security.
In this session we will discuss good practice guidelines for data security and how they might be implemented in their own institution. General principles will be described and then in class exercises participants will be asked to discuss how particular scenarios might be handled. The module will cover: Data held at the researcher’s institution: Physical security Hardware security Software security Access control Data held in secure labs: Protocols for handling of output Conduct and practice in the labs |
| 12:30 |
Lunch |
| 01:20: Session 3 |
Understanding Disclosure Risk and avoiding Disclosive Outputs.
In this session participants will be given an introduction to the complex notion of statistical disclosure risk. In a class exercise they put themselves in the mind of a “data intruder” imagining how they would break into a dataset (or output) to disclose information about individuals. There will then be consideration of how the concept of disclosure risk pertains to both the inputs and the outputs of any data analysis. |
| 02:20: Session 4 |
Action learning set. Bring your own case study.
In this final session participants will work in groups to discuss data access arrangements in their research centres. What are the problems? What are the barriers? Are these surmountable? What are the risks? How might we best address the concerns of data holders to enable us to have access to the data we need to do our work? |
| 3:30 |
Close |
Booking Form
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