iRun: a situational, neo-assemblage perspective of information and records in running.

Running is a popular leisure activity, and there is great interest and use of data and information amongst its participants. Researching information about running has attracted scholarly attention in human-computer interaction (HCI) and digital sociology through self-tracking studies. There has also been limited attention in research on information behaviour upon embodied representations in short-term information use. Archival science has not considered long term running data practices despite some runners keeping information about their leisure pursuits for a long time. Both information behaviour and archival science have attempted to understand personal information and record creation contexts outside of running. This study provides a new lens to understand the interconnected complexity between people who run, technology and information environments. It uses the concept of the neo-assemblage to achieve this understanding. The research also gives a renewed understanding of the types of information runners collect and use, whether they value their running information, and to what extent runners are concerned about its long- term existence and third party involvement with their data. An innovative mobile method using a 360-degree action camera collected data whilst the researcher ran with four participants asking them questions. The four participants then participated in virtual interviews to understand how they used information created during their running. A virtual interview method collected data from four more participants about their information use in their running activities. The researcher applied situational analysis and a complementary neo-assemblage theory analysis to the collected data. Runners use both embodied information and information derived from devices when running. Both types of information are valuable to a runner’s short-term running goals. Most participants gave little thought to their represented information in the distant future. There is evidence that such information can have emotional meaning for some participants because it is central to their running identity. There was very little concern about how third parties held their personal information, such as running watch companies. Underscoring this is using the neo-assemblage theory lens to understand the interrelated complexity of the human, information and technology in these findings. The originality of this work is drawing together the study of information behaviour and archival science in a poststructural perspective using situational analysis and neo- assemblage theory. The result contributes a new perspective on the complex relationships between embodied and recorded forms of information, including records, people, and technology. This thesis makes an empirical contribution by documenting the creation and use of information during and after physical activity. This thesis contributes to data collection methods by considering the ethical implications and practicalities of recording data with a 360-degree camera. This data capture method led to a further contribution in using a virtual reality viewer as an immersive technology for data analysis

Could Collaborative Research between Two Major Libraries Help Consolidate Digital Preservation and Break the “Project Cycle”?

The successful preservation of digital assets requires maintenance, continuity of service, and proactive stewardship.1 An ongoing challenge for Bodleian Libraries (of Oxford University) and Cambridge University Library (CUL) has been taking outputs from time-bound digital preservation projects and turning them into ongoing uninterrupted services. This is not a challenge which is specific to Bodleian Libraries and CUL, but it has been recognized as a difficult transition for many organizations to make. The Digital Preservation at Oxford and Cambridge (DPOC) project (2016–2018) is a collaboration between Bodleian Libraries and CUL which is supported and funded by The Polonsky Foundation. Bodleian Libraries and CUL have historically strong ties, and have previously collaborated on digital preservation projects. Both organizations also have experience creating digital preservation resources, for which stewardship at the end of projects has been transferred over to staff within the libraries for maintenance. However, siloed preservation activities have so far not translated into institution-wide, ongoing programmatic digital preservation activities

System identification of an enclosure with leakages using a probabilistic approach

This paper presents a model-based method for the system identification of a rectangular enclosure with an unknown number of air leakages subjected to uniform external noise, according to the probabilistic approach. The method aims to identify the number and corresponding locations and sizes of air leakages utilizing a set of measured, interior, sound pressure data in the frequency domain. System identification of an enclosure with an unknown number of air leakages is not trivial. Different classes of acoustic models are required to simulate an enclosure with different numbers of leakages. By following the traditional system of identification techniques, the "optimal" class of models is selected by minimizing the discrepancy between the measured and modeled interior sound pressure. By doing this, the most complicated model class (that is, the one with the highest number of uncertain parameters) will always be selected. Therefore, the traditional system identification techniques found in the literature to date cannot be employed to solve this problem. Our proposed system identification methodology relies on the Bayesian information criterion (BIC) to identify accurately the number of leakages in an enclosure. Unlike all deterministic system identification approaches, the proposed methodology aims to calculate the posterior (updated) probability density function (PDF) of leakage locations and sizes. Therefore, the uncertainties introduced by measurement noise and modeling error can be explicitly addressed. The coefficient of variable (COV) of uncertain parameters, which can be easily calculated from the PDF, provides valuable information about the reliability of the identification results. © 2008 Elsevier Ltd. All rights reserved.H. F. Lam, C. T. Ng, Y. Y. Lee and H. Y. Sunhttp://www.elsevier.com/wps/find/journaldescription.cws_home/622899/description#descriptio

Dynamic response of Dam-Reservoir systems : review and a semi-analytical proposal

This paper presents a review of current techniques employed for dynamic analysis of concrete gravity dams under seismic action. Traditional procedures applied in design bureaus, such as the Pseudo-Static method, often neglect structural dynamic properties, as well as ground amplification effects. A practical alternative arises with the Pseudo-Dynamic method, which considers a simplified spectrum response in the fundamental mode. The authors propose a self-contained development and detailed examples of this latter method, including a comparison with finite element models using transient response of fluid-structure systems. It is verified that application of the traditional procedure should be done carefully and limited to extremely rigid dams. On the other hand, the proposed development is straightforward and in agreement with finite element results for general cases where dam flexibility plays an important role

The science of managing our digital stuff

The title, The Science of Managing Our Digital Stuff, suggests that the book should hold an appeal for members of the recordkeeping community. It indicates there is a scientific approach behind managing digital materials which could possibly help us gain a better understanding of how people manage their ‘stuff’. The book title also begged the question of whether archival science would be referenced. The applicability of this work to the readership of Archives and Manuscripts was a question that was borne in mind by the reviewer whilst reading The Science of Managing Our Digital Stuff

Digital Preservation Maturity, Resourcing, Policy and Strategy Survey (2018) - Selected Anonymised Raw Data

The Digital Preservation at Oxford and Cambridge (DPOC) project and the Digital Preservation Coalition (DPC) developed a survey aimed at gathering basic data about digital preservation activities in organisations. The survey was run from April to May 2018 and gathered information about digital preservation maturity levels, staffing resources, and the policy and strategy landscapes of institutions currently doing or considering digital preservation activities. This is the raw anonymised dataset associated with this survey. For further information on the DPOC project, see: http://www.dpoc.ac.uk/This research was generously supported by the Polonsky Foundation as part of the Digital Preservation at Oxford and Cambridge (DPOC) project - http://www.dpoc.ac.uk

Digital preservation training needs assessment toolkit: a collaborative development for skills auditing

This poster is about one of the deliverables of the Polonsky Foundation-funded Digital Preservation at Oxford and Cambridge Project (DPOC), which is to assess the digital preservation skills and training needs within each institution’s workforce. During the review process of existing digital preservation skills and competencies it was found that there was no auditing template to use or adapt; as a result, the DigCurV competencies were reviewed and adapted into a toolkit to enable each institution to measure digital preservation knowledge and skill sets. For the DPOC Project, the results from the completed elements of the toolkit would enable the Fellows to identify potential skill and knowledge gaps in order to develop in-house curricula. For the wider community, the toolkit is intended as a resource for developing digital curation and preservation training programmes

Digital preservation training needs assessment toolkit: a collaborative development for skills auditing

This poster is about one of the deliverables of the Polonsky Foundation- funded Digital Preservation at Oxford and Cambridge Project (DPOC), which is to assess the digital preservation skills and training needs within each institution’s workforce. During the review process of existing digital preservation skills and competencies it was found that there was no auditing template to use or adapt; as a result, the DigCurV competencies were reviewed and adapted into a toolkit to enable each institution to measure digital preservation knowledge and skill sets. For the DPOC Project, the results from the completed elements of the toolkit would enable the Fellows to identify poten- tial skill and knowledge gaps in order to develop in-house curricula. For the wider community, the toolkit is intended as a resource for developing digital curation and preservation training programmes

Skills for digital preservation

Introduction to the skills required for digital preservation for the PASIG 2017 Oxford Bootcamp Day on 11 September 2017

Digital Preservation at Oxford and Cambridge Social Media Dataset

The following dataset contains social media outputs from the Digital Preservation at Oxford and Cambridge (DPOC) project. The project ran from August 2016 to December 2018 with funding from The Polonsky Foundation. The public dataset contains blog posts and a web-archive of the project website (www.dpoc.ac.uk). It also contains Tweets using the project hashtag #dp0c. Further embargoed material can be accessed internally by Bodleian Libraries staff on request