In the 1980s, studying the effect of neutron irradiation and temper embrittlement on structural materials for the fusion and fission programmes was a major challenge. In this context the development of small specimen test techniques began, allowing the characterization of structural materials for nuclear applications with small amounts of material. The small punch technique is of one these small specimen test approaches. It is widely used for the development and monitoring of structural materials, however there is currently no comprehensive international standard for small punch testing. An EN standard on small punch testing is currently being developed under the auspices of ECISS/TC101/WG1. Besides describing the apparatus, procedures, and specimens, it will include recommendations for the estimation of tensile, fracture and creep properties from small punch testing as well as machine readable formats for representing and transferring test data. This paper describes the current status of the standard and highlights some of the changes with regard to the current CWA 15672 (2007).

The industrial and research sectors make significant investments in developing and producing engineering materials. These materials are manufactured and qualified in accordance with a body of testing and product standards that have evolved over many decades to meet ever more demanding requirements. Yet the very significant volume of data that result from these activities remains largely unavailable. While efforts to establish a digital infrastructure for engineering materials data can be traced back more than three decades, widespread adoption of machine-readable formats to enable the routine transfer of engineering materials data has yet to be realized. Given the reliance on electronic systems in all aspects of engineering materials development, manufacture, and qualification, it is an anomaly that simply preserving and transferring engineering materials data remains an issue. This anomaly is accentuated by the fact that in recent years other business domains have benefited from the integration of web technologies into established business models. To address these shortcomings a digital infrastructure is needed that allows and encourages the seamless transfer of engineering materials data between different systems. It is in this context that renewed efforts to develop standard formats for engineering materials data are taking place in the frame of CEN Workshops. While building on prior activities at ASTM and ISO, this work leverages existing product and testing standards with a view to engaging the engineering materials community. With preliminary technical specifications having already been demonstrated to streamline the data transfer process, attention is turning to the long-standing challenge of promoting a culture of data sharing. Whereas previously the motivations for researchers and industrial organizations to share data were lacking, the initial impacts of the DataCite framework for data citation on the utilization of the European Commission materials database hosted at http://odin.jrc.eu.europa.eu are suggestive of a sea-change in data sharing and reuse. This paper describes the status of the work to develop data formats for engineering materials in the frame of CEN Workshops and reports on the added value of data citation beyond simply ensuring that data creators are properly accredited for their work. The outcome of work to enable the European Commission materials database to support standards compliant data formats and data citation has been that barriers to systems integration have been considerably reduced and, irrespective of the level of confidentiality, organizations in both the industrial and research sectors now routinely enable their data sets for citation. Together with recent innovations in digital publishing, a renewed interest in the development of standards for engineering materials data offers new prospects for discovery, exchange, and reuse of engineering materials data. Taken along with other data centric initiatives, such as physics-based and multi-scale modelling, open data, and linked data, it can reasonably be argued that standard data formats and data publishing herald a transition towards a digital infrastructure for engineering materials data.JRC.G.I.4-Nuclear Reactor Safety and Emergency Preparednes

Raw data from small punch tensile/fracture tests at two displacement rates in the temperature range from -196 °C to room temperature on Grade 91 ferritic/martensitic steel are presented. A number of specimens were analyzed after testing by means of X-ray computed tomography (CT). Based on the CT volume data detailed 3D surface maps of the specimens were established. All data are open access and available from Online Data Information Network (ODIN)https://odin.jrc.ec.europa.eu. The data presented in the current work has been analyzed in the research article "On the determination of the ductile to brittle transition temperature from small punch tests on Grade 91 ferritic-martensitic steel" (M. Bruchhausen, S. Holmström, J.-M. Lapetite, S. Ripplinger, 2015) [1].

Trends in the sciences are indicative of data management becoming established as a feature of the mainstream research process. In this context, the European Commission introduced an Open Research Data pilot at the start of the Horizon 2020 research programme. This initiative followed the success of the Open Access pilot implemented in the prior (FP7) research programme, which thereafter became an integral component of Horizon 2020. While the Open Access phenomenon can reasonably be argued to be one of many instances of web technologies disrupting established business models (namely publication practices and workflows established over several centuries in the case of Open Access), initiatives designed to promote research data management have no established foundation on which to build. For Open Data to become a reality and, more importantly, to contribute to the scientific process, data management best practices and workflows are required. Furthermore, with the scientific community having operated to good effect in the absence of data management, there is a need to demonstrate the merits of data management. This circumstance is complicated by the lack of the necessary ICT infrastructures, especially interoperability standards, required to facilitate the seamless transfer, aggregation and analysis of research data. Any activity aiming to promote Open Data thus needs to overcome a number of cultural and technological challenges. It is in this context that this paper examines the data management activities and outcomes of a number of projects participating in the Horizon 2020 Open Research Data pilot. The result has been to identify a number of commonly encountered benefits and issues; to assess the utilisation of data management plans; and through the close examination of specific cases, to gain insights into obstacles to data management and potential solutions. Although primarily anecdotal and difficult to quantify, the experiences reported in this paper tend to favour developing data management best practices rather than doggedly pursue the Open Data mantra. While Open Data may prove valuable in certain circumstances, there is good reason to claim that managed access to scientific data of high inherent intellectual and financial value will prove more effective in driving knowledge discovery and innovation.

An overview of emerging technologies for storing and transferring engineering materials data.JRC.F.4-Innovative Technologies for Nuclear Reactor Safet