Group items tagged

The aim of the Institutional Data Management Blueprint (IDMB) project is to create a practical and attainable institutional framework for managing research data that facilitates ambitious national and international e-research practice. The objective is to produce a framework for managing research data that encompasses a whole institution (exemplified by the University of Southampton) and based on an analysis of current data management requirements for a representative group of disciplines with a range of different data.

The Project has several broad aims: To specify in practical terms how effective data management may best be performed within the IdMRC's research projects and, by extension, similar projects undertaken elsewhere. ERIM will be looking primarily at the outputs of the KIM Project, alongside exemplar engineering studies in fields such as engineering metrology and constraint management. Both technical and social/legal issues will be considered. To explore the opportunities for and barriers to the re-use of engineering information, including the results of research conducted using highly sensitive industrial data and information. To explore the opprtunities and requirements for the re-use of research data sets. Of particular interest is the extent to which future re-users of the data will need to manipulate them. Metrics for determining the suitability of data for re-use will be investigated.

Incremental is funded through the JISC Managing Research Data programme, with the aim to support researchers at the Universities of Cambridge and Glasgow. Through our scoping work, we have found that many researchers are unclear about best practice in data management and unaware of where they could locate support and guidance. They wanted simple and engaging guidance and access to tailored support

The Supporting Data Management Infrastructure for the Humanities (Sudamih) project aims to address a coherent range of requirements for the more effective management of data (broadly defined) within the Humanities at an institutional level.

The project's overall aim was to contribute to new models, workflows and tools for academic data sharing within a complex and dynamic information environment which included increased emphasis on stewardship of institutional knowledge assets of all types; new technologies to enhance e-Research; new research council policies and mandates; and the growth of the Open Access / Open Data movement.

UKRDS is a joint project between RLUK (a consortium of research libraries in the UK and Ireland), and RUGIT (the Russell Group IT Directors Group).

The project's overall aim was to scope the requirements, including underlying infrastructure and interoperability, for digital repositories services to store, disseminate and preserve research data generated at Oxford.

The Embedding Institutional Data Curation Services in Research (EIDCSR) project arises from the range of activities carried out through an Oxford scoping study, a cross-agency collaborative effort to scope the requirements to manage and curate research data generated by Oxford researchers. A requirements gathering exercise took place with around 40 interviews with researchers across disciplines. Service units in Oxford were also consulted to identify their data management services and identify gaps in service provision. Moreover, the project contributed to the UK Research Data Service feasibility study and the JISC funded DISC-UK DataShare project.

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.

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

DataFlow will be hardening a prototype developed in the JISC-funded ADMIRAL project. ADMIRAL allowed researchers to upload and share very large (terabyte-sized) datasets on the cloud.