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Open Archives Initiative Object Reuse and Exchange (OAI-ORE) defines standards for the description and exchange of aggregations of Web resources. This document provides an introduction and lists the specifications and user guide documents that make up the OAI-ORE standards.

The Open Knowledge Definition (OKD) sets out principles to define the 'open' in open knowledge. The term knowledge is used broadly and it includes all forms of data, content such as music, films or books as well any other type of information. In the simplest form the definition can be summed up in the statement that "A piece of knowledge is open if you are free to use, reuse, and redistribute it". For details read the latest version of the full definition (with explanatory annotations). The history page includes a changelog and links to all previous versions.

Trends in programming language development and adoption point to Python as the high-level systems integration language of choice. Python leverages a vast developer-base external to the Neuroscience community, and promises leaps in simulation complexity and maintainability to any neural simulator which adopts it. As more and more simulators support Python, model development times can be drastically reduced by promoting code sharing and reuse across simulator communities. As a result, modellers can devote their software development time to innovating new simulation tools such as network topology databases, stimulus programming, analysis and visualisation tools, and simulation accounting, to name a few.

The Open Knowledge Definition (OKD) sets out principles to define the 'open' in open knowledge. The term knowledge is used broadly and it includes all forms of data, content such as music, films or books as well any other type of information. In the simplest form the definition can be summed up in the statement that "A piece of knowledge is open if you are free to use, reuse, and redistribute it". For details read the latest version of the full definition (with explanatory annotations). The history page includes a changelog and links to all previous versions.

X-Media addresses the issue of knowledge management in complex distributed environments. It will study, develop and implement large scale methodologies and techniques for knowledge management able to support sharing and reuse of knowledge that is distributed in different media (images, documents and data) and repositories (data bases, knowledge bases, document repositories, etc.). The project started in March 2006 and will last for 4 years. It has a budget topping Euro 13.6M, (9.9M from the EU). 15 partners are involved from UK, Germany, Italy, France, Slovenia, Greece and Norway.

XFML lets you exchange hierarchical faceted metadata. It also lets you indicate topics in different published XFML documents are equal, thus allowing you to reuse indexing efforts. XFML borrows many ideas from Topicmaps, a format you should check out if you like the ideas behind XFML but are frustrated with its limitations (see http://topicmaps.org).

myExperiment is a collaborative environment where scientists can safely publish their workflows, share them with groups and find the workflows of others. Workflows, other digital objects and collections - called Packs - can now be swapped, sorted and searched like photos and videos on the Web. And unlike Facebook or MySpace, myExperiment fully understands the needs of the researcher. myExperiment makes it really easy for the next generation of scientists to contribute to a pool of scientific workflows, build communities and form relationships. It enables scientists to share, reuse and repurpose workflows and reduce time-to-experiment, share expertise and avoid reinvention.

SearchMonkey reuses structured data to improve search result display with benefits to both search users, developers, and publishers of web content.

The primary success criteria for the next two days will be the publication of new vocabularies on the Web that increase the availability of Linked Data. That's the main goal, but there are many others. I am confident that this first VoCamp will be an opportunity to share issues, expertise, modeling techniques and design patterns. In doing so we will all become smarter. There is an opportunity to scope requirements in the wider Semantic Web field that impact upon the availability and reuse of vocabularies. Collectively we can identify missing pieces of the technical infrastructure required by the Web of Data, and begin to build a social infrastructure that helps us collectively ease the vocabulary bottleneck.

Data portability is the ability for people to reuse their data across interoperable applications. The DataPortability Project works to advance this vision by identifying, contextualizing and promoting efforts in the space.