A standard format for block designs and their properties ======================================================= (A proposal and an invitation for public debate) At DesignTheory.org we are developing a web-based Design Theory Resource Server for combinatorial and statistical design theory. These resources will include an online database of designs, an Encyclopaedia of Design Theory, and software packages for the generation and analysis of designs. We hope to address the needs of both researchers and practitioners of design theory. One critical element is our XML format to represent designs and their properties in a standard platform-independent manner. This will allow for the straightforward exchange of designs and their properties between various computer systems, including databases and web servers, and combinatorial, group theoretical and statistical packages. The XML format will also be used for outside submissions to our design database and to store designs in perpetuity. Our initial development is in the area of block designs, and we invite you to read and comment on our proposal for the External Representation of Block Designs, available online at: http://designtheory.org/ Please send your comments (and follow-ups) exclusively to: developers at designtheory.org This is a mailing list to which you are welcome, although not required, to join. Alternatively, you can follow the discussions through the public archives of the list. For further details, please visit: http://designtheory.org/mailing.html We will finalize the XML format for block designs after sufficient public debate, after which we shall release GAP [1], R [2], and Python [3] software for block designs. We are committed to the open source model and all products of our development will be released to the public free of charge. We shall also start developing a database of block designs, and look forward to your contributions (in the XML format) to this database. Please feel free to forward this announcement to anyone you think may be interested. References: [1] GAP - Groups, Algorithms and Programming http://www.gap-system.org/ [2] The R Project for Statistical Computing http://www.r-project.org/ [3] The Python programming language http://www.python.org/