Web Preservation, or Managing your Organisation’s Online Presence After the Organisation Ceases to Exist

Welcome presentation given by Marieke Guy and Brian Kelly, UKOLN at Institutional Web Management Workshop 2009, University of Essex, 28 - 30, July 2009

Workshop slides for IWMW 2009 workshop discussion on blog preservation for Higher Education institutions. Covers selection, collection, access, IPR.

Slides for a talk on "Open Educational Practices (OEP): What They Mean For Me and How I Use Them" given by Brian Kelly, Innovation Advocate at Cetis, University of Bolton for a webinar organised by Salford University from 09.30-10.30 on Thursday 5 December 2013. See http://ukwebfocus.wordpress.com/events/webinar-on-open-educational-practices/

Presentation given at the JISC PoWR workshop 3 (Embedding Web Preservation Strategies Within Your Institution), given in the Flexible Learning Space, centre for Excellence in Enquiry-Based Learning (CEEBL), University of Manchester on Friday 12th September 2008.

Slides for a workshop on Managing Your Research Profile given by Brian Kelly, UKOLN at the University of Edinburgh on 20 June 2013. See http://www.ukoln.ac.uk/web-focus/events/workshops/sgs-dtc-edinburgh-2013-06/

Slides for a talk on "Building and Sustaining a Community using the Social Web" given by Brian Kelly, UKOLN at a UCISA SSG Communications Group Conference on "Using Social Media to Communicate" held at Austin Court, Birmingham on 18 January 2012. See http://www.ukoln.ac.uk/web-focus/events/workshops/ucisa-ssg-2012/

The document discusses Brian Kelly developing his online professional learning network. It describes how the Hyperlinked Library MOOC helped Brian plan his network by providing assignments. Brian identified goals for his network, such as finding funding opportunities and staying interested in his work. He defined the scope of his network to include communities relevant to his new role. Brian listed key resources like Twitter, blogs and conferences. The document outlines Brian's plan to maintain his network by pruning irrelevant accounts and using tools to understand his connections. He created a visualization of his network using Coggle.

Slides for a talk on "Social Media: For Ourselves and For Our Customers" given by Brian Kelly, UKOLN at the UCISA Support Services Conference held in Crewe on 10-12 July 20-12. See http://www.ukoln.ac.uk/web-focus/events/conferences/ucisa-support-service-2012/

Slides from a talk on "Accessibility, Automation and Metadata" given at a WAI meeting held in Toronto in 1999. See http://www.ukoln.ac.uk/web-focus/accessibility/metadata/www8/

Slides for a talk on "Benefits of the Social Web: How Can It Help My Museum?" given by Brian Kelly, UKOLN at the AIM 2009 conference held in Ellesmere Port on 5 June 2009. See http://www.ukoln.ac.uk/cultural-heritage/events/aim-2009/

The document discusses implications of a report on higher education in a Web 2.0 world for IT service departments. It suggests that IT services embrace cloud computing and make use of social web tools. Departments should provide infrastructure while respecting user preferences and explore opportunities like new funding models. Risk management, resource investigation, and frameworks are recommended to guide strategic deployment of new technologies.

Slides for a talk on "What if Web 2.0 Really Does Change Everything?" given by Brian Kelly, UKOLN at the UCISA CISG 2009 conference on 18-20 November 2009. See http://www.ukoln.ac.uk/web-focus/events/conferences/ucisa-cisg-2009/

Slides for a talk on "Embedding & Sustaining University 2.0 " given be Brian Kelly, UKOLN at the University 2.0 conference in Santander on 8 September 2010. See http://www.ukoln.ac.uk/web-focus/events/conferences/uimp-2010/

Slides for talk on "Preservation of Web Resources: The JISC PoWR Project" given by Brian Kelly, UKOLN at the iPRES 2008 conference on 29 September 2008. See http://www.ukoln.ac.uk/web-focus/events/conferences/ipres-2008/

for ease of use on the day, this is a single presentation containing all the slides for UKOLN's blogs and social networking workshop on the 26th November 2007 in irmingham.

Slides for a talk on "Demystifying the Social Web" given by Brian Kelly, UKOLN at the Readeast's "R-e-@ding: reaching out to readers in a digital world" Conference held in Flitwick on 26 November 2009. See http://www.ukoln.ac.uk/cultural-heritage/events/readeast-2009/

Marieke Guy from UKOLN will help you find out how Web 2.0 applications are being used in libraries and information centres, and what actually works. Blogs, wikis, RSS? Podcasts, Slideshare, Flickr and del.icio.us? Social Networking, Social Bookmarking and Video Sharing are the buzz words.

This document provides a summary of a blog post from 2009 discussing technology trends and forecasting the future. It begins by describing the optimistic views of technologies at the time, like videoconferencing and Twitter. However, it notes critics who argue this is "technological determinism" that promises more than technologies deliver. The blog post then discusses an approach the author took - forecasting technologies backwards in time to give plausible reasons for their demise. For example, it suggests Twitter would not scale and become "clogged", seen as similar to email spam, and be replaced by meeting in real pubs with real friends. For videoconferencing, it speculates research may find people prefer face-to-face meetings and

This document provides an overview of a training on developing a winning attitude for customer service. The training comprises 9 modules that will be completed over 9 weeks. Trainees will learn techniques for active listening, using positive language, adapting communication styles, handling complaints, asking questions, educating customers, and controlling calls. The goal is for participants to discover how to provide exceptional customer service and develop the right winning attitudes.

The development of QSAR models is critically dependent on the quality of available data. As part of our efforts to develop public platforms to provide access to predictive models, we have attempted to discriminate the influence of the quality versus quantity of data available to develop and validate QSAR models. We have focused our efforts on the widely used EPISuite software that was initially developed over two decades ago and, specifically, on the PHYSPROP dataset used to train the EPISuite prediction models. This presentation will review our approaches to examining key datasets, the delivery of curated data and the development of machine-learning models for thirteen separate property endpoints of interest to environmental science. We will also review how these data will be made freely accessible to the community via a new “chemistry dashboard”. This abstract does not reflect U.S. EPA policy

This slides accompanied a talk I gave on January 27, 2016, at Startup Edmonton's "Lunchalytics" speaker series. The event was held in the Mercer Warehouse, 10359 104 Street Northwest, Edmonton, Alberta, Canada.

On Friday September 16th I was honored with the award for the North Carolina American Chemical Society Distinguished Speaker Award and got to review the past 20 years of my career. This was my short intro bio "Antony Williams is a Ph.D. NMR spectroscopist and cheminformatician who has worked in academia, government, a Fortune 500 company, and two start-ups. He is co-founder of the free online chemical database ChemSpider, originally started as a hobby project and ultimately acquired by the Royal Society of Chemistry (in the UK) and now used by over 50,000 users per day. He is now a computational chemist at the Environmental Protection Agency in the National Center for Computational Toxicology and is focused on developing web applications to support data dissemination and progress efforts in allowing for faster and cheaper approaches to identify potential toxicological effects of chemicals. He has published >180 papers, >25 book chapters and a number of books. He is known as the ChemConnector on social networks. "

Researchers at the EPA’s National Center for Computational Toxicology integrate advances in biology, chemistry, and computer science to examine the toxicity of chemicals and help prioritize chemicals for further research based on potential human health risks. The intention of this research program is to quickly evaluate thousands of chemicals for potential risk but with much reduced cost relative to historical approaches. This work involves computational and data driven approaches including high-throughput screening, modeling, text-mining and the integration of chemistry, exposure and biological data. We have developed a number of databases and applications that are delivering on the vision of developing a deeper understanding of chemicals and their effects on exposure and biological processes that are supporting a large community of scientists in their research efforts. This presentation will provide an overview of our work to bring together diverse large scale data from the chemical and biological domains, our approaches to integrate and disseminate these data, and the delivery of models supporting computational toxicology. This abstract does not reflect U.S. EPA policy.

This presentation was a webinar update to the Open PHACTS community regarding the release of the OPen PHACTS open source components of the Chemical Registration System and, more specifically, the Chemical validation and Standardization Platform. The need for a community set of rules was driven home with the Chemical validation and Standardization Platform potentially being an example platform for the rules.

The National Science Foundation (NSF) provides over $7 billion annually to fund basic research through competitive grants. The NSF requires all grant proposals to include a Data Management Plan that describes how research data will be managed and shared. In 2015, the NSF published a Public Access Plan outlining new, more extensive requirements for researchers to share both published works and original research data. These include depositing data in repositories and making it publicly available with appropriate metadata. Directorates may provide additional guidance for specific research communities. The plan aims to maximize access to and reuse of research funded by the NSF.

The document discusses how a library shares development and maintenance of technical and public services. It describes how the library maintains databases, ebooks, print books, and websites. Content developed on template guides can be mapped to FAQ posts on multiple platforms for discoverability. Newspaper boxes created on a template guide were copied and pasted into corresponding FAQ posts to dynamically map the content. Link assets were then mapped from the template guide to a newspapers guide to centrally manage all newspaper content from a single page.

This presentation highlights known challenges with the production of high quality chemical databases and outline recent efforts made to address these challenges. Specific examples will be provided illustrating these challenges within the U.S. Environmental Protection Agency (EPA) Computational Toxicology Program. This includes consolidating EPA’s ACToR and DSSTox databases, augmenting computed properties and list search features, and introducing quality metrics to assess confidence in chemical structure assignments across hundreds of thousands of chemical substance records. The past decade has seen enormous investments in the generation and release of data from studies of chemicals and their toxicological effects. There is, however, commonly little concern given to provenance and, more generally, to the quality of the data. The presentation will emphasize the importance of rigorous data review procedures, progress in web-based public access to accurate chemical data sets for use in predictive modeling, and the benefits that these efforts will deliver to toxicologists to embrace the “Big Data” era. This abstract does not necessarily represent the views of the U.S. Environmental Protection Agency.

We used smartphone app to prompt brief electronic surveys to assess a sample of mothers' eating behaviors and feelings randomly throughout their daily lives.

Strategic Management Society 2016 Conference Berlin, Germany Sunday, September 18 Session 253 - Cultural Perspectives on Strategic Management Track J Session Chair Joel Gehman, University of Alberta Krsto Pandza, University of Leeds Session Panelists Shahzad Ansari, University of Cambridge Rodolphe Durand, HEC-Paris Candace Jones, University of Edinburgh Business School Michael Lounsbury, University of Alberta Richard Whittington, University of Oxford This session aims to spark conversations between scholars at the intersection of strategic management and organization theory. In particular, we hope the event will generate awareness of, stimulate interest in, and set direction for research at the SM-OT interface. Especially, the panelists will address potential connections between perennial strategy topics such as resources, capabilities, innovation, competition, governance, nonmarket strategy and strategy process and practice and topics of central interest to organization theory such as institutional logics, organizational forms, legitimacy, creativity, framing and categories. Panellist will identify the most promising questions that could benefit from integrating strategy and organizational theory concepts as well as discussing possible challenges of such a theoretical bricolage.

The construction of QSAR models is critically dependent on the quality of available data. As part of our efforts to develop public platforms to provide access to predictive models, we have attempted to discriminate the influence of the quality versus quantity of data available to develop and validate QSAR models. We have focused our efforts on the widely used EPISuite software that was initially developed over two decades ago. Specific examples of quality issues for the EPISuite data include multiple records for the same chemical structure with different measured property values, inconsistency between the structure, chemical name and CAS registry number for single records, the inability to convert the SMILES strings into chemical structures, hypervalency in the chemical structures and the absence of stereochemistry for thousands of data records. Relative to the era of EPISuite development, modern cheminformatics tools allow for more advanced capabilities in terms of chemical structure representation and storage, as well as enabling automated data validation and standardization approaches to examine data quality. This presentation will review both our manual and automated approaches to examining key datasets related to the EPISuite training and test data. This includes approaches to validate between chemical structure representations (e.g. molfile and SMILES) and identifiers (chemical names and registry numbers), as well as approaches to standardize the data into QSAR-consumable formats for modeling. We have quantified and segregated the data into various quality categories to allow us to thoroughly investigate the resulting models that can be developed from these data slices and to examine to what extent efforts into the development of large high-quality datasets have the expected pay-off in terms of prediction performance. This abstract does not reflect U.S. EPA policy.

There is a growing need for rapid chemical screening and prioritization to inform regulatory decision-making on thousands of chemicals in the environment. We have previously used high-resolution mass spectrometry to examine household vacuum dust samples using liquid chromatography time-of-flight mass spectrometry (LC-TOF/MS). Using a combination of exact mass, isotope distribution, and isotope spacing, molecular features were matched with a list of chemical formulas from the EPA’s Distributed Structure-Searchable Toxicity (DSSTox) database. This has further developed our understanding of how openly available chemical databases, together with the appropriate searches, could be used for the purpose of compound identification. We report here on the utility of the EPA’s iCSS Chemistry Dashboard for the purpose of compound identification using searches against a database of over 720,000 chemicals. We also examine the benefits of QSAR prediction for the purpose of retention time prediction to allow for alignment of both chromatographic and mass spectral properties. This abstract does not reflect U.S. EPA policy.

The iCSS Chemistry Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and ExpoCast). The available data and searches provide a valuable path to structure identification using mass spectrometry as the source data. With an underlying database of over 720,000 chemicals, the dashboard has already been used to assist in identifying chemicals present in house dust. However, it can also be applied to many other purposes, e.g., the identification of agrochemicals in waste streams. This presentation will provide a review of the EPA’s platform and underlying algorithms used for the purpose of compound identification using high-resolution mass spectrometry data. We will also discuss progress towards a high-throughput non-targeted analysis platform for use by the mass spectrometry community. This abstract does not reflect U.S. EPA policy.

The iCSS CompTox Dashboard is a publicly accessible dashboard provided by the National Center for Computation Toxicology at the US-EPA. It serves a number of purposes, including providing a chemistry database underpinning many of our public-facing projects (e.g. ToxCast and ExpoCast). The available data and searches provide a valuable path to structure identification using mass spectrometry as the source data. With an underlying database of over 720,000 chemicals, the dashboard has already been used to assist in identifying chemicals present in house dust. However, it can also be applied to many other purposes, e.g., the identification of agrochemicals in waste streams. This presentation will provide a review of the EPA’s platform and underlying algorithms used for the purpose of compound identification using high-resolution mass spectrometry data. In order to examine its performance for structure identification, especially in terms of rank-ordering database hits, we have compared it with the ChemSpider database, a well-regarded public database that has become one of the community standards for structure identification. The study has shown that the CompTox Dashboard outperforms ChemSpider in terms of structure identification and ranking providing improved outcomes for mass spectrometry analysis of “known unknowns”.