Pre-Session Survey: Data Connect 21 - Discussing data catalogues: needs, barriers, frustrations
Thank you for signing-up to attend our session within the Data Connect 21 festival of data week.  This pre-event survey is voluntary, but your responses will help us gather input summaries and other framing for the event and its write-up.  In any writeup material, we may link some of those responses to organisations, but not to any individuals.

ALL questions are optional.

Data catalogues are vital for organisations to understand what data they hold and helping users, inside and outside government, to access it. This event is an open discussion of the kinds of features we as data practitioners of various types would like to have in the data catalogues we use. The event is particularly aimed at people who actively interact with data catalogues of various kinds, who have a sense of the limitations of current systems and the capabilities we wish they had and sharing of any best-practices or principles.

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Your organisation's name
Your role with data
What do you currently use data cataloging for?
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What data cataloging technology have you used in the past ?
Roughly speaking, how would you define a ‘data catalogue’ in one sentence?
Are there any good examples of data catalogue work you’d recommend to others?
Are there any questions you'd like answering in the discussion?
If you are happy to be contacted for follow up before or after the session, please enter your name and e-mail address below.  This will only be used by the session organising team at Epimorphics Ltd for the purposes of: Contacting prior or after the event, to follow up on any questions you ask, and work or projects that you mention or to find out if you'd be willing to be involved in any follow up studies.  We will not share your personal details with anyone else without your permission. If you wish to withdraw your name/contact details at a later date please contact events@epimorphics.com
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If you have given your name and e-mail address, do you consent with your personal data being processed and used  as described above?
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