10,073 research outputs found
Managing Research Data in Big Science
The project which led to this report was funded by JISC in 2010--2011 as part of its 'Managing Research Data' programme, to examine the way in which Big Science data is managed, and produce any recommendations which may be appropriate. Big science data is different: it comes in large volumes, and it is shared and exploited in ways which may differ from other disciplines. This project has explored these differences using as a case-study Gravitational Wave data generated by the LSC, and has produced recommendations intended to be useful variously to JISC, the funding council (STFC) and the LSC community. In Sect. 1 we define what we mean by 'big science', describe the overall data culture there, laying stress on how it necessarily or contingently differs from other disciplines. In Sect. 2 we discuss the benefits of a formal data-preservation strategy, and the cases for open data and for well-preserved data that follow from that. This leads to our recommendations that, in essence, funders should adopt rather light-touch prescriptions regarding data preservation planning: normal data management practice, in the areas under study, corresponds to notably good practice in most other areas, so that the only change we suggest is to make this planning more formal, which makes it more easily auditable, and more amenable to constructive criticism. In Sect. 3 we briefly discuss the LIGO data management plan, and pull together whatever information is available on the estimation of digital preservation costs. The report is informed, throughout, by the OAIS reference model for an open archive
Managing Research Data: Gravitational Waves
The project which led to this report was funded by JISC in 2010ā2011 as part of its
āManaging Research Dataā programme, to examine the way in which Big Science data
is managed, and produce any recommendations which may be appropriate.
Big science data is different: it comes in large volumes, and it is shared and
exploited in ways which may differ from other disciplines. This project has explored
these differences using as a case-study Gravitational Wave data generated by the LSC,
and has produced recommendations intended to be useful variously to JISC, the funding
council (STFC) and the LSC community.
In Sect. 1 we deļ¬ne what we mean by ābig scienceā, describe the overall data
culture there, laying stress on how it necessarily or contingently differs from other
disciplines.
In Sect. 2 we discuss the beneļ¬ts of a formal data-preservation strategy, and the
cases for open data and for well-preserved data that follow from that. This leads to our
recommendations that, in essence, funders should adopt rather light-touch prescriptions
regarding data preservation planning: normal data management practice, in the areas
under study, corresponds to notably good practice in most other areas, so that the only
change we suggest is to make this planning more formal, which makes it more easily
auditable, and more amenable to constructive criticism.
In Sect. 3 we brieļ¬y discuss the LIGO data management plan, and pull together
whatever information is available on the estimation of digital preservation costs.
The report is informed, throughout, by the OAIS reference model for an open
archive. Some of the reportās ļ¬ndings and conclusions were summarised in [1].
See the document history on page 37
Collaborative technologies for the financial services industry
2004-2005 > Academic research: not refereed > Publication in policy or professional journalAccepted ManuscriptPublishe
Technical alignment
This essay discusses the importance of the areas of
infrastructure and testing to help digital preservation services
demonstrate reliability, transparency, and accountability. It
encourages practitioners to build a strong culture in which
transparency and collaborations between technical frameworks
are valued highly. It also argues for devising and applying
agreed-upon metrics that will enable the systematic analysis of
preservation infrastructure. The essay begins by defining
technical infrastructure and testing in the digital preservation
context, provides case studies that exemplify both progress and
challenges for technical alignment in both areas, and concludes
with suggestions for achieving greater degrees of technical
alignment going forward
University of Glasgow - Case study in funding research data management
This case study was written by Mary Donaldson as part of the Funder Requirements for Research Data project. This project was funded by JISC as part of the wider Research Data Management Business Case and Costings (RDM-BCC) project.
The case study examines how the University of Glasgow supports RDM, how their service sustainability is achieved, and how other RDM activities are paid for
Designing for Cross-Device Interactions
Driven by technological advancements, we now own and operate an ever-growing number of digital devices, leading to an increased amount of digital data we produce, use, and maintain. However, while there is a substantial increase in computing power and availability of devices and data, many tasks we conduct with our devices are not well connected across multiple devices. We conduct our tasks sequentially instead of in parallel, while collaborative work across multiple devices is cumbersome to set up or simply not possible. To address these limitations, this thesis is concerned with cross-device computing. In particular it aims to conceptualise, prototype, and study interactions in cross-device computing. This thesis contributes to the field of Human-Computer Interaction (HCI)āand more specifically to the area of cross-device computingāin three ways: first, this work conceptualises previous work through a taxonomy of cross-device computing resulting in an in-depth understanding of the field, that identifies underexplored research areas, enabling the transfer of key insights into the design of interaction techniques. Second, three case studies were conducted that show how cross-device interactions can support curation work as well as augment usersā existing devices for individual and collaborative work. These case studies incorporate novel interaction techniques for supporting cross-device work. Third, through studying cross-device interactions and group collaboration, this thesis provides insights into how researchers can understand and evaluate multi- and cross-device interactions for individual and collaborative work. We provide a visualization and querying tool that facilitates interaction analysis of spatial measures and video recordings to facilitate such evaluations of cross-device work. Overall, the work in this thesis advances the field of cross-device computing with its taxonomy guiding research directions, novel interaction techniques and case studies demonstrating cross-device interactions for curation, and insights into and tools for effective evaluation of cross-device systems
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