481 research outputs found

    Men In Mines

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    PRESERV: Preservation Services for OAI-Compliant Repositories

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    The OAI-PMH has become the de-facto standard for exposing metadata. In the PRESERV project we have explored new models for enabling thedigital preservation of and long-term access to content in Institutional Repositories (IRs). We envision digital preservation being achieved through simple preservation services working with standards-based, interoperable repository software. As support for the OAI-PMH matures so repositories are providing more robust mechanisms to access their content through OAI, e.g. community standards for using Dublin Core, support for METS or DIDL. Based on this, we have developed an exemplar File Format Profiling tool in the Registry of Open Access Repositories (ROAR), utilizing OAI and PRONOM DROID. PRONOM-ROAR is a first step to preserving digital content through simplifying content file format management for IR Managers by providing file format profiles and alerts

    Evidence of Hypertext in the Scholarly Archive

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    Quantitative studies of archive use by researcher

    Preservation for Institutional Repositories: practical and invisible

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    With good prospects for growth in institutional repository (IR) contents, in the UK, due to the proposed RCUK policy on mandating deposit of papers on funded work, and internationally due to the Berlin 3 recommendation, it is timely to investigate preservation solutions for IRs. The paper takes a broad view of preservation issues for IRs - based on practice, experience and visions for the future - from the perspective of Preserv, a JISC-funded project. It considers preservation in the context of IRs. Based on the OAIS preservation model, an architecture is proposed to support distributed preservation services for IRs. Work performed so far involves adapting the IR user deposit interface in a pilot version of EPrints software for building IRs, and determining accurate file format information using Pronom software. The paper looks ahead briefly at the role of preservation service providers, working for the IR, within this architecture. The strategy is to take practical steps that are, as far as possible, invisible to all but those concerned with the preservation process for IRs

    Digitometric Services for Open Archives Environments

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    We describe “digitometric” services and tools that add value to open-access eprint archives using the Open Archives Initiative (OAI) Protocol for Metadata Harvesting. Celestial is an OAI cache and gateway tool. Citebase Search enhances OAI-harvested metadata with linked references harvested from the full-text to provide a web service for citation navigation and research impact analysis. Digitometrics builds on data harvested using OAI to provide advanced visualisation and hypertext navigation for the research community. Together these services provide a modular, distributed architecture for building a “semantic web” for the research literature

    PRONOM-ROAR: Adding Format Profiles to a Repository Registry to Inform Preservation Services

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    To date many institutional repository (IR) software suppliers have pushed the IR as a digital preservation solution. We argue that the digital preservation of objects in IRs may better be achieved through the use of light-weight, add-on services. We present such a service – PRONOM-ROAR – that generates file format profiles for IRs. This demonstrates the potential of using third- party services to provide preservation expertise to IR managers by making use of existing machine interfaces to IRs

    A complete preservation workflow in EPrints (+ Plato) - 10 Minute Summary

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    Through the work done by the Preserv1, Preserv2 and KeepIt digital preservation projects, preservation tools have been integrated tightly with the repository workflow. In this presentation we recap on the previous PASIG presentations and being it right up to date with the completion of the workflow which has been possible due to a close collaboration with the EU PLANETS project. Specifically we look at the power of the PLATO tool for preservation planning before outlining how EPrints can consume to resultant plan and automatically perform any operations detailed in the plan. Finally we look at how EPrints also stores all provenance information relating the plan with any actions and resultant files and how this conforms to the Open Provenance Model (OPM) specification

    Repositories for Institutional Open Access: Mandated Deposit Policies

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    Only 15% of articles are currently being made Open Access (OA) through spontaneous self-archiving efforts by their authors. They average 25%-250% more citations in all 12 disciplines tested so far. Ninety-four percent of journals endorse immediate OA self-archiving. There is no evidence that self-archiving induces subscription cancellations. The “OA advantage” consists of: Early Advantage (early self-archiving produces both earlier and more citations), Usage Advantage (more downloads for OA articles, correlated with later citations), Competitive Advantage (relative citation advantage of OA over non-OA articles: disappears at 100% OA), Quality Advantage (OA advantage is higher, the higher the quality of the article) and Quality Bias (authors selectively self-archiving their higher quality articles – a non-causal component: disappears at 100% OA). We are currently comparing the OA advantage for mandated and spontaneous (self-selected) self-archiving. Deposit rates in Institutional Repositories (IRs) remain at 15% if unmandated, but climb toward 100% OA if mandated, confirming surveys that predicted 95% compliance. In the UK, 4 of the 8 research funding councils and the Wellcome Trust mandate self-archiving and it is being considered by the European Commission and the US federal FRPAA. There is no reason for universities to wait for the passage of the legislation. Five universities and two research institutions (including CERN) have already mandated it, with documented success. An Immediate-Deposit/Optional-Access Mandate covers all cases and moots all legal issues: metadata are immediately visible webwide and, where needed, access to the postprint can be set as Closed Access instead of OA throughout any embargo period. Software to support this approach (that allows the author to email individual copies of non-Open Access papers to individual requesters) has been created for both EPrints and DSpace repository platforms

    Validation of an ICD code for accurately identifying emergency department patients who suffer an out-of-hospital cardiac arrest.

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    AIM: International classification of disease (ICD-9) code 427.5 (cardiac arrest) is utilized to identify cohorts of patients who suffer out-of-hospital cardiac arrest (OHCA), though the use of ICD codes for this purpose has never been formally validated. We sought to validate the utility of ICD-9 code 427.5 by identifying patients admitted from the emergency department (ED) after OHCA. METHODS: Adult visits to a single ED between January 2007 and July 2012 were retrospectively examined and a keyword search of the electronic medical record (EMR) was used to identify patients. Cardiac arrest was confirmed; and ICD-9 information and location of return of spontaneous circulation (ROSC) were collected. Separately, the EMR was searched for patients who received ICD-9 code 427.5. The kappa coefficient (κ) was calculated, as was the sensitivity and specificity of the code for identifying OHCA. RESULTS: The keyword search identified 1717 patients, of which 385 suffered OHCA and 333 were assigned the code 427.5. The agreement between ICD-9 code and cardiac arrest was excellent (κ = 0.895). The ICD-9 code 427.5 was both specific (99.4%) and sensitive (86.5%). Of the 52 cardiac arrests that were not identified by ICD-9 code, 33% had ROSC before arrival to the ED. When searching independently on ICD-9 code, 347 patients with ICD-9 code 427.5 were found, of which 320 were true arrests. This yielded a positive predictive value of 92% for ICD-9 code 427.5 in predicting OHCA. CONCLUSIONS: ICD-9 code 427.5 is sensitive and specific for identifying ED patients who suffer OHCA with a positive predictive value of 92%
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