The SCSC publishes a range of documents:
The club publishes its newsletter Safety Systems three times a year in February, June and October. The newsletter is distributed to paid-up members and can be made available in electronic form for inclusion on corporate members' intranet sites.
The proceedings of the annual symposium, held each February since 1993, are published in book form. Since 2013 copies can be purchased from Amazon.
The club publishes the Safety-critical Systems eJournal (ISSN 2754-1118) containing high-quality, peer-reviewed articles on the subject of systems safety.
If you are interested in being an author or a reviewer please see the Call for Papers.
All publications are available to download free by current SCSC members (please log in first), recent books are available as 'print on demand' from Amazon at reasonable cost.
This is the fifth minor update since version 3.0 and paragraph numbering within the body of the document remains aligned with that major release. Thus users of any 3.x release of the Guidance document will find migration to this edition takes little effort.
Thie newly identified risks of 'Black Swan Data' and 'Dragon King Data' are now included along with 2 new data properties, further work on data migration, tools and other updates in response to user feedback.
New accidents related to data safety have also been added.
Data, as distinct from software and hardware, has been a contributing factor in many accidents and incidents. The impact of data-related issues continues to grow as we rely moer and more on data-driven systems.
The inclusion of data as a potential cause of harm is a crucial part of a thorough safety assessment. Explicitly considering data in this way also provides additional business and societal benefist including reduced harm, reduced commercial liabilities and improved business efficiencies.
The book has been developed by the SCSC Data Safety Initiative Working group (DSIWG), a cross-sector groups set up to address the challenges of data safety. It provides guidance on how data should be managed in a safety-related context.