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Classification & Ontology is the third biennial conference in a series of UDC Seminars organized by the UDC Consortium and hosted by The National Library of the Netherlands. Ontology-like representations of classifications are recognized as potentially important facilitators in creating a web of linked data (the Semantic Web).The objective of this conference is to promote collaboration and exchange of expertise between different fields dealing with knowledge classifications: bibliographic, web and AI.

CARDIO enables you to: 1. collaboratively assess data management requirements, activity, and capacity at your institution 2. build consensus between data creators, information managers and service providers 3. identify practical goals for improvement in data management provision and support; 4. identify operational inefficiencies and opportunities for cost saving; 5. make a compelling case to senior managers for investment in data management support

The Information Retrieval area has a strong and long tradition dating back to the 1960s in producing and processing scientific data resulting from the experimental evaluation of search algorithms and search systems. This attitude towards evaluation has led to fast and continuous progress in the evolution of information retrieval systems and search engines. However, in order to make these data test collections understandable and usable they must be endowed with some auxiliary information, i.e., provenance, quality, context, etc. Therefore, there is a need for metadata models able to describe the main characteristics of evaluation data. In addition, in order to make distributed data collections accessible, sharable, and interoperable, there is a need for advanced data infrastructures. In contrast, the information retrieval area has barely explored and exploited the possibilities for managing, storing, and effectively accessing the scientific data produced during the evaluation studies by making use of the methods typical of the database and knowledge management areas. Over the years, the information retrieval area has produced a vast set of large test collections which have become the main benchmark tools of the area and ensure reproducible and comparable experiments. However, these same collections have not been organised into coherent and integrated infrastructures which make them accessible, searchable, citable, exploitable, and re-usable to all possibly interested researchers, developers, and user communities. It is thus time for these three communities - information retrieval, databases, and knowledge management - to join efforts, meet, and cooperate to address the problem of envisaging and designing useful infrastructures able to coherently manage pertinent data collections and sources of information, and so take concrete steps towards developing them. Indeed, the information retrieval experts need to recognise this need, while the database and knowledge

Repository Fringe 2011 aims to showcase a range of innovative repository and related developments to coincide with the 'preview week' (yes, that does mean cheaper tickets) for the Edinburgh Festival Fringe. Designed for developers and coders, repository managers and practitioners, the programme always has an 'unconference' feel, and will feature contributions from a wide range of repository actors.

Reliable identification of researchers in the digital domain is becoming vitally important in contemporary science. The international IRISC2011 workshop, organized by GEN2PHEN, CSC and FIMM, will bring together key stakeholders and experts and help foster collaboration, coordination and awareness concerning identity in scientific research and communication

The tenth e-Science All Hands Meeting (AHM) will be held from 26th-29th September 2011, in the historic city of York, United Kingdom. The main themes will be shared infrastructures, using the cloud in research, end-user engagement, applications (e-science, e-social science, research in the arts and humanities). The conference will feature keynote presentations, workshop sessions, poster presentations and demonstrations. A series of tutorials for delegates will be held on Monday 26th September 2011, the first day of the conference. Papers will be peer reviewed and published in a special issue journal (to be confirmed). There will be a small exhibition area and opportunities for networking. The conference is expected to attract over 200 international delegates from industry and the academic community.

"Change we are leading" is the theme of CLOUD 2011. Cloud Computing has become a scalable services consumption and delivery platform in the field of Services Computing. The technical foundations of Cloud Computing include Service-Oriented Architecture (SOA) and Virtualizations of hardware and software. The goal of Cloud Computing is to share resources among the cloud service consumers, cloud partners, and cloud vendors in the cloud value chain. The resource sharing at various levels results in various cloud offerings such as infrastructure cloud (e.g. hardware, IT infrastructure management), software cloud (e.g. SaaS focusing on middleware as a service, or traditional CRM as a service), application cloud (e.g. Application as a Service, UML modeling tools as a service, social network as a service), and business cloud (e.g. business process as a service).

Digital curation manages, maintains, preserves, and adds value to digital information throughout its lifecycle, reducing threats to long-term value, mitigating the risk of digital obsolescence and enhancing usefulness for research and scholarship. IDCC brings together those who create information, those who curate and manage it, those who use it and those who research and teach about curation processes.

This Web page provides an overview of the outputs of projects in JISC's Managing Research Data programme. It includes links to project websites, how to guides, data management planning tools and guidance, case studies, reports, and training materials.

The third edition (published in May 2011) of the UK Data Archive's guide to best practice for researchers. Topics covered include: why and how to share data; data management planning; documenting, formatting, and storing data; ethics and consent; and copyright.

Good practice in data management is one of the core areas of research integrity, or the responsible conduct of research. This site provides further insight to some of the stages involved in research data management, and the facilities and services available to help, both within the University and from external providers.

The HFS (Hierarchical File Server) is an Oxford University centrally funded service providing data backup and long-term archive services to senior members, postgraduates and staff.

The Data Asset Framework (formerly the Data Audit Framework) provides organisations with the means to identify, locate, describe and assess how they are managing their research data assets. DAF combines a set of methods with an online tool to enable data auditors to gather this information. DAF will help ensure that research data produced in UK Higher Education Institutions is preserved and remains accessible in the long term.

Funding bodies increasingly require their grant-holders to produce and maintain Data Management Plans (DMPs), both at the bid-preparation stage and after funding has been secured. DMP Online has been developed by the Digital Curation Centre to enable you to build and edit DMPs according to the requirements stipulated by the major UK funders. The tool also contains helpful guidance and links for researchers and other data professionals.

This paper is designed to encourage, inform and ultimately summarise the discussions around the appropriate strategic and technical descriptions of the Australian National Data Service; to fill in the outline in the Platforms for Collaboration investment plan.

This Report explores the roles, rights, responsibilities and relationships of institutions, data centres and other key stakeholders who work with data. It concentrates primarily on the UK scene with some reference to other relevant experience and opinion, and is framed as "a snapshot" of a relatively fast-moving field. It is strategically positioned to provide a bridge between the high-level RIN Framework of Principles and Guidelines for the stewardship of research data, and practitioner-focussed technical development work

Research data are an increasingly important and expensive output of the scholarly research process, across all disciplines. They are an essential part of the evidence necessary to evaluate research results, and to reconstruct the events and processes leading to them. Their value increases as they are aggregated into collections and as they become more available for re-use to address new and challenging research questions. But we shall realise the value of data only if we move beyond research policies, practices and support systems developed in a different era. We need new approaches to managing and providing access to research data. The framework is structured around five broad principles which provide a guide to the development of policy and practice for a range of key players: universities, research institutions, libraries and other information providers, publishers, and research funders as well as researchers themselves. In seeking to develop the framework further, all parties need to work collaboratively and to ensure that it is sensitive to the needs of researchers and the different contexts in which they work. All parties must also take account of relevant technical and policy-making developments in the UK and overseas.

The Halogen project is part funded by JISC in the Research Data Management theme to implement a cross disciplinary research database to support the Roots of the British collaboration at the University of Leicester.