Presentation by Sally Rumsey of the University of Oxford. It was presented at the LSHTM Research Data Services workshop on June 30th 2015, an event organised to mark the end of LSHTM's Wellcome Trust funded RDM project.
The University of Edinburgh has over 33,000 students and 9,000 staff across three colleges covering a broad range of research disciplines. 83% of the University's research is rated as world-leading or internationally excellent. The University has prioritized data science and launched Edinburgh Data Science in 2014. It provides core research data management infrastructure to support good research practices. This includes training, policies, online data management planning tools, storage infrastructure, and repositories for active data use and long-term archiving. Challenges include promoting cultural change and integrating multiple research data services as needs evolve rapidly.
Presentation by Stephen Grace of the University of East London. It was presented at the LSHTM Research Data Services workshop on June 30th 2015, an event organised to mark the end of LSHTM's Wellcome Trust funded RDM project.
Presentation by Gareth Knight of the London School of Hygiene & Tropical Medicine. It was presented at the LSHTM Research Data Services workshop on June 30th 2015, an event organised to mark the end of LSHTM's Wellcome Trust funded RDM project.
Presentation by Jeremy Barraud & Jess Crilly of University of the Arts London. It was presented at the LSHTM Research Data Services workshop on June 30th 2015, an event organised to mark the end of LSHTM's Wellcome Trust funded RDM project.
Presentation by Angus Whyte of the Digital Curation Centre. It was presented at the LSHTM Research Data Services workshop on June 30th 2015, an event organised to mark the end of LSHTM's Wellcome Trust funded RDM project. Updated version added on 14th August to clarify graph labels.
The document describes a "DIY" research data management training kit for librarians created by Stuart Macdonald. The kit was designed to train librarians to support their institution's research data management needs. It includes open educational materials that guide librarians through topics like data management planning, storage, and sharing. The training involves self-paced reading, reflective writing, and group exercises. The goal is to empower librarians to learn RDM skills and help researchers comply with their university's new RDM policy.
Research Data Management Training and SupportRobin Rice
1) The document discusses research data management training and support provided by the Data Library at the University of Edinburgh. It outlines Edinburgh's research data management policy and roadmap to implement the policy.
2) The Data Library provides general data management consultancy and support throughout the research process. It has developed online guidance, embeds training in postgraduate programs, and offers data management planning consultancy.
3) The Data Library created a "DIY Research Data Management Training Kit" to train liaison librarians on research data management topics through a blended learning approach involving online modules and facilitated in-person sessions.
What does Open Science, Open Scholarship look like?Robin Rice
The document discusses open science and open scholarship. It covers open access and data sharing, including publicly funded research being made publicly available. Code sharing and reproducible research are also discussed, specifically the three R's of sharing: reuse, replication, and reproducibility. The benefits of data sharing, code sharing, and citizen science are provided. Open science is defined as working transparently using social media to get early feedback from the community.
The University of Edinburgh has over 33,000 students and 9,000 staff across three colleges covering a broad range of research disciplines. 83% of the University's research is rated as world-leading or internationally excellent. The University has prioritized data science and launched Edinburgh Data Science in 2014. It provides core research data management infrastructure to support good research practices. This includes training, policies, online data management planning tools, storage infrastructure, and repositories for active data use and long-term archiving. Challenges include promoting cultural change and integrating multiple research data services as needs evolve rapidly.
Presentation by Stephen Grace of the University of East London. It was presented at the LSHTM Research Data Services workshop on June 30th 2015, an event organised to mark the end of LSHTM's Wellcome Trust funded RDM project.
Presentation by Gareth Knight of the London School of Hygiene & Tropical Medicine. It was presented at the LSHTM Research Data Services workshop on June 30th 2015, an event organised to mark the end of LSHTM's Wellcome Trust funded RDM project.
Presentation by Jeremy Barraud & Jess Crilly of University of the Arts London. It was presented at the LSHTM Research Data Services workshop on June 30th 2015, an event organised to mark the end of LSHTM's Wellcome Trust funded RDM project.
Presentation by Angus Whyte of the Digital Curation Centre. It was presented at the LSHTM Research Data Services workshop on June 30th 2015, an event organised to mark the end of LSHTM's Wellcome Trust funded RDM project. Updated version added on 14th August to clarify graph labels.
The document describes a "DIY" research data management training kit for librarians created by Stuart Macdonald. The kit was designed to train librarians to support their institution's research data management needs. It includes open educational materials that guide librarians through topics like data management planning, storage, and sharing. The training involves self-paced reading, reflective writing, and group exercises. The goal is to empower librarians to learn RDM skills and help researchers comply with their university's new RDM policy.
Research Data Management Training and SupportRobin Rice
1) The document discusses research data management training and support provided by the Data Library at the University of Edinburgh. It outlines Edinburgh's research data management policy and roadmap to implement the policy.
2) The Data Library provides general data management consultancy and support throughout the research process. It has developed online guidance, embeds training in postgraduate programs, and offers data management planning consultancy.
3) The Data Library created a "DIY Research Data Management Training Kit" to train liaison librarians on research data management topics through a blended learning approach involving online modules and facilitated in-person sessions.
What does Open Science, Open Scholarship look like?Robin Rice
The document discusses open science and open scholarship. It covers open access and data sharing, including publicly funded research being made publicly available. Code sharing and reproducible research are also discussed, specifically the three R's of sharing: reuse, replication, and reproducibility. The benefits of data sharing, code sharing, and citizen science are provided. Open science is defined as working transparently using social media to get early feedback from the community.
Presented by Robin Rice at the "IRs dealing with data" workshop at the Open Repositories 2013 Conference in Charlottetown, Prince Edward Island, Canada, on 8 July 2013.
In order to be reused, research data must be discoverable.
The EPSRC Research Data Expectations* requires research organisations to maintain a data catalogue to record metadata about research data generated by EPSRC-funded research projects.
Universities are increasingly making research data assets available through repositories or other data portals.
The requirement for a UK research data discovery service has grown as universities become more involved in RDM and capacity develops.
Introduction to SUNCAT
Background to the redevelopment of the service
Key enhancements of the new interface
Contributing to SUNCAT
How SUNCAT can help you and your users
Demo of the new service
Future plans
Feedback and questions
Presented by Zena Mulligan at the Interlend 2014 Conference, 23-24 June 2014, Carlton Highland Hotel,
Edinburgh.
Research Data Management Initiatives at the University of EdinburghRobin Rice
This paper will discuss the issues involved in exploring university obligations in the area of research data management, while conveying the current state of progress at one institution, Edinburgh. The issues are fairly static – from data ownership and rights to retention and sustainability – but the solutions are a moving target as the research environment and its technologies continue to change, subtly altering what is perceived as possible, feasible, and desirable. The planned University of Edinburgh approach to research data storage and management will be outlined.
This document summarizes a workshop on roles and skills for research data management (RDM). It provides examples of RDM support at the Universities of Edinburgh and Bangor. At Edinburgh, RDM involves central IT, libraries, repositories and other units. Support includes data infrastructure, stewardship, and general consultancy. Bangor is working to define roles and deliver collaborative RDM support. The document also describes the Research Data MANTRA training course and a training kit developed by EDINA for academic librarians on RDM topics.
The University of Sheffield and University of Nottingham Research Data Manage...Jisc
The University of Sheffield and University of Nottingham have undertaken several research data management activities and initiatives. Both universities received Jisc funding to advance their RDM capabilities between 2011-2013. They have established RDM steering groups, conducted user needs assessments, provided training to staff and researchers, and face ongoing challenges around ownership, engagement, sustainability and treating data as a research output.
This document discusses the role of librarians in supporting research data management (RDM). It outlines the University of East London's (UEL) approach to RDM, including developing an RDM policy and providing training to librarians and researchers. Librarians are well-positioned to help with RDM due to their expertise in managing information and commitment to long-term research. However, many librarians lack skills specific to RDM. To address this, UEL created an online training course called "supportDM" to teach librarians how to support researchers with data management plans, preservation, and sharing data. The document encourages other institutions to make use of existing RDM resources and train their own lib
The document discusses the experiences of running an institutional data repository at the University of Edinburgh. It provides context on the university and growing policies supporting research data management. It then describes the university's research data management program, which includes services for data management planning, active data infrastructure like a data repository called DataShare, and data stewardship. DataShare uses the DSpace platform and has seen growth in deposited items over the years. Challenges in running the repository include handling large files, facilitating uploads and downloads, assigning DOIs, and promoting a culture change around data sharing.
Developing Research Data Management Policy and ServicesRobin Rice
1) The document discusses developing a research data management policy and services at the University of Edinburgh. It covers developing an institutional RDM policy, defining roles and responsibilities of researchers and the institution, and supporting and training researchers in RDM.
2) It describes current RDM services at UoE including an online data library, RDM training embedded in postgraduate programs, and tailored support for data management plans.
3) The document presents UoE's RDM roadmap, which sets strategic aims and deliverables over 18 months in areas like infrastructure, archiving, and promoting awareness across departments.
Integrating figshare into our RDM workflow: University of SalfordDavid Clay
The document discusses integrating the data repository figshare into the University of Salford's research data management workflow. It outlines the drivers for improving research data management, including funder requirements. It then details the university's requirements gathering process, which involved auditing current practices, interviewing researchers, and identifying functional needs. Finally, it evaluates figshare as a solution, noting its abilities to enable publishing, discoverability, access control, and integration with other services.
Libraries are increasingly being called upon to extend
access to their online resources to users beyond their
core constituencies. Every institution has its own unique
arrangements, but they all raise similar questions for the
library: are these users included under our existing licences
or are separate ones needed? Will we have to pay more, and
if so, how much? Where can I go for advice? Learn about the
guidelines Jisc Collections has developed, and hear from
two librarians who have successfully implemented their own
solutions: Anna Franca on KCL’s work with an NHS Trust
and Ruth Dale on Nottingham’s overseas campuses.
Research Data and the Role of University LibrariesJohn P. Murtagh
This document discusses the role of university libraries in research data management. It notes that funders now require wider access to research data and universities are involved due to public pressure and obligations to research assets. Libraries are well-positioned to provide research data management support given their expertise in information management, training, and long-term preservation of knowledge. The document outlines a project at the University of East London where the library is providing training to students and staff on best practices for research data management and helping to embed these practices across disciplines.
RDM programme @ Edinburgh an institutional approachJisc
The University of Edinburgh has established a Research Data Management (RDM) programme to implement its RDM policy. The programme provides services and support for researchers at all stages of working with research data, including data management planning, active working file storage, data publication, long-term data archiving, and a data asset register. It is governed by committees and implemented in phases, with initial services already in place and more under development. Training, guidance and consultancy are also offered to help researchers comply with funder requirements and best practices for RDM.
Presented by Robin Rice at the "IRs dealing with data" workshop at the Open Repositories 2013 Conference in Charlottetown, Prince Edward Island, Canada, on 8 July 2013.
In order to be reused, research data must be discoverable.
The EPSRC Research Data Expectations* requires research organisations to maintain a data catalogue to record metadata about research data generated by EPSRC-funded research projects.
Universities are increasingly making research data assets available through repositories or other data portals.
The requirement for a UK research data discovery service has grown as universities become more involved in RDM and capacity develops.
Introduction to SUNCAT
Background to the redevelopment of the service
Key enhancements of the new interface
Contributing to SUNCAT
How SUNCAT can help you and your users
Demo of the new service
Future plans
Feedback and questions
Presented by Zena Mulligan at the Interlend 2014 Conference, 23-24 June 2014, Carlton Highland Hotel,
Edinburgh.
Research Data Management Initiatives at the University of EdinburghRobin Rice
This paper will discuss the issues involved in exploring university obligations in the area of research data management, while conveying the current state of progress at one institution, Edinburgh. The issues are fairly static – from data ownership and rights to retention and sustainability – but the solutions are a moving target as the research environment and its technologies continue to change, subtly altering what is perceived as possible, feasible, and desirable. The planned University of Edinburgh approach to research data storage and management will be outlined.
This document summarizes a workshop on roles and skills for research data management (RDM). It provides examples of RDM support at the Universities of Edinburgh and Bangor. At Edinburgh, RDM involves central IT, libraries, repositories and other units. Support includes data infrastructure, stewardship, and general consultancy. Bangor is working to define roles and deliver collaborative RDM support. The document also describes the Research Data MANTRA training course and a training kit developed by EDINA for academic librarians on RDM topics.
The University of Sheffield and University of Nottingham Research Data Manage...Jisc
The University of Sheffield and University of Nottingham have undertaken several research data management activities and initiatives. Both universities received Jisc funding to advance their RDM capabilities between 2011-2013. They have established RDM steering groups, conducted user needs assessments, provided training to staff and researchers, and face ongoing challenges around ownership, engagement, sustainability and treating data as a research output.
This document discusses the role of librarians in supporting research data management (RDM). It outlines the University of East London's (UEL) approach to RDM, including developing an RDM policy and providing training to librarians and researchers. Librarians are well-positioned to help with RDM due to their expertise in managing information and commitment to long-term research. However, many librarians lack skills specific to RDM. To address this, UEL created an online training course called "supportDM" to teach librarians how to support researchers with data management plans, preservation, and sharing data. The document encourages other institutions to make use of existing RDM resources and train their own lib
The document discusses the experiences of running an institutional data repository at the University of Edinburgh. It provides context on the university and growing policies supporting research data management. It then describes the university's research data management program, which includes services for data management planning, active data infrastructure like a data repository called DataShare, and data stewardship. DataShare uses the DSpace platform and has seen growth in deposited items over the years. Challenges in running the repository include handling large files, facilitating uploads and downloads, assigning DOIs, and promoting a culture change around data sharing.
Developing Research Data Management Policy and ServicesRobin Rice
1) The document discusses developing a research data management policy and services at the University of Edinburgh. It covers developing an institutional RDM policy, defining roles and responsibilities of researchers and the institution, and supporting and training researchers in RDM.
2) It describes current RDM services at UoE including an online data library, RDM training embedded in postgraduate programs, and tailored support for data management plans.
3) The document presents UoE's RDM roadmap, which sets strategic aims and deliverables over 18 months in areas like infrastructure, archiving, and promoting awareness across departments.
Integrating figshare into our RDM workflow: University of SalfordDavid Clay
The document discusses integrating the data repository figshare into the University of Salford's research data management workflow. It outlines the drivers for improving research data management, including funder requirements. It then details the university's requirements gathering process, which involved auditing current practices, interviewing researchers, and identifying functional needs. Finally, it evaluates figshare as a solution, noting its abilities to enable publishing, discoverability, access control, and integration with other services.
Libraries are increasingly being called upon to extend
access to their online resources to users beyond their
core constituencies. Every institution has its own unique
arrangements, but they all raise similar questions for the
library: are these users included under our existing licences
or are separate ones needed? Will we have to pay more, and
if so, how much? Where can I go for advice? Learn about the
guidelines Jisc Collections has developed, and hear from
two librarians who have successfully implemented their own
solutions: Anna Franca on KCL’s work with an NHS Trust
and Ruth Dale on Nottingham’s overseas campuses.
Research Data and the Role of University LibrariesJohn P. Murtagh
This document discusses the role of university libraries in research data management. It notes that funders now require wider access to research data and universities are involved due to public pressure and obligations to research assets. Libraries are well-positioned to provide research data management support given their expertise in information management, training, and long-term preservation of knowledge. The document outlines a project at the University of East London where the library is providing training to students and staff on best practices for research data management and helping to embed these practices across disciplines.
RDM programme @ Edinburgh an institutional approachJisc
The University of Edinburgh has established a Research Data Management (RDM) programme to implement its RDM policy. The programme provides services and support for researchers at all stages of working with research data, including data management planning, active working file storage, data publication, long-term data archiving, and a data asset register. It is governed by committees and implemented in phases, with initial services already in place and more under development. Training, guidance and consultancy are also offered to help researchers comply with funder requirements and best practices for RDM.
Building Research Data Management Services - Robin RiceIncisive_Events
This document discusses building research data management services from a data librarian's perspective. It defines research data management and outlines developing an institutional RDM policy involving library leadership. The document also discusses supporting researchers through training, guidance, and tools for data management planning and sharing. Potential additional library RDM services mentioned include data discovery, repositories, archiving, and applying metadata standards. Challenges for librarians expanding into this new area include finding time and developing new skills to support research data management.
Presentation by Sally Rumsey, The Bodleian Libraries, University of Oxford at Science and Engineering South (SES) Event - Helping Researchers Manage their Data - Friday 9th May 2014 held at Imperial College London
The document provides an overview of research data management (RDM) and the RDM services that Lancaster University plans to offer. It discusses that RDM involves maintaining and preserving digital research data throughout its lifecycle. It also notes that funder requirements and policies are driving universities to improve RDM practices to ensure long-term access and reuse of research data. Lancaster University plans to offer storage, advocate for RDM, provide training and support, help with data management plans, and collaborate with other universities and groups like N8 on RDM issues.
The document provides information about research data management (RDM) services and initiatives at the University of Edinburgh. It describes the EDINA National Data Centre and Data Library, which provide online resources and data management support. It outlines several JISC-funded RDM projects undertaken by the Data Library, including building the Edinburgh DataShare repository. It also summarizes the Research Data MANTRA training module and the university's RDM roadmap, which lays out a multi-phase plan to improve RDM support and services by 2015 in line with funder requirements.
Building research data management services at the University of Edinburgh: a ...Robin Rice
This document discusses building research data management services from a data librarian's perspective. It defines research data management and outlines developing an institutional RDM policy involving researchers, librarians, and IT staff. The author discusses the University of Edinburgh's library-led RDM policy as an example. The document also covers supporting researchers through training, guidance, and tools for data management planning and sharing. It proposes additional library RDM services like data repositories, archiving, and metadata standards expertise. Challenges for librarians expanding into this new domain are also addressed.
The document summarizes the activities of EDINA and the Data Library at the University of Edinburgh related to research data management. It describes EDINA as a national data center that provides online resources for education and research. The Data Library assists university researchers with discovering, accessing, using and managing research datasets. It also outlines several projects the Data Library is involved in to develop training, policies and services to support best practices in research data management according to funder requirements. This includes developing an institutional research data management roadmap to help the university meet funder expectations by 2015.
The document summarizes a pilot project at the University of Edinburgh to support the development of a UK Research Data Discovery Service. PhD interns engaged with researchers from various schools to describe and deposit research datasets in the university's systems to be harvested by the discovery service. Observations found mixed results across schools, with humanities researchers less comfortable sharing data due to copyright and reluctance to share interpretations. Other schools had established data repositories causing less interest in the university's system. Building research data management practices will require tailored approaches and more training over time.
This document summarizes a presentation on building data networks between authors, repositories, and journals. It discusses why researchers should work with data journals, the general criteria data journals require of repositories, and introduces the Journal of Open Research Software and initiatives like DataCite UK and BioSharing that aim to improve data sharing and reuse through standards and databases.
Building data networks: exploring trust and interoperability between authoris...Repository Fringe
Building data networks: exploring trust and interoperability between authoris, repositories and journals. Varsha Khodiyar , Scientific Data; Neil Chue Hong, Journal of Open Research Software; Rachael Kotarski, DataCite, Peter McQuilton, BioSharing; Reza Salek, Metabolights. At Repository Fringe 2015
This document discusses drivers and organizational responses to research data management (RDM) maturity from transatlantic perspectives. It describes external funder mandates in the US and UK that require open sharing of research publications and data. Universities have responded by developing RDM policies, tools, expertise, and education/outreach for researchers. Key RDM components discussed include policies, storage and repository tools, expertise and staffing models, and outreach/education activities. Connecting electronic lab notebooks to other RDM infrastructure is presented as an approach to better integrate researcher workflows with institutional RDM. The document concludes with an invitation to provide comments on RDM maturity through an online survey.
JISC DataPool by Dorothy Byatt, (University of Southampton). Presentation at Demystifying Research Data: don’t be scared be prepared: A joint JIBS/RLUK event, Tuesday 17th July, Brunei Gallery at SOAS (School of Oriental and African Studies), London.
The document provides an overview of the EDINA & Data Library service at the University of Edinburgh. It discusses that EDINA is a JISC-funded National Data Centre that provides online resources for education and research, while the Data Library assists university users in discovering, accessing, using and managing research datasets. The Data Library offers consultancy services and has developed projects like Edinburgh DataShare, an institutional repository of research datasets, and the Research Data MANTRA online course on research data management.
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This is a presentation given to final year doctoral students at the London School of Hygiene & Tropical Medicine. It covers issues pertaining to copyright and open access publishing that students need to consider before submitting their thesis, as well as information on research data management and the actual process of submission.
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Ketevan is a Research Fellow in the Department of Health Services Research and Policy at LSHTM. She currently works on SPOTLIGHT, a cross-European research project for sustainable prevention of obesity through integrated strategies, where she is managing a large-scale survey conducted in England to assess the perceptions of environmental obesogenicity in selected neighbourhoods. She also assessed the built environment in those neighbourhoods using remote imaging using Google Street View.
An overview of the i-Sense platform, developed by UCL to monitor the spread of infectious disease. Presented by Jens Geyti of University College London at LSHTM's 'Enhancing data capture in health research' RDM event on November 20th, 2015.
Case study on the FluSurvey platform, developed by the London School of Hygiene & Tropical Medicine. Presented by Dr Sebastian Funk at LSHTM's 'Enhancing data capture in health research' RDM event on November 20th, 2015.
Case study on the development of the MyHeart Counts app built using Apple’s ResearchKit platform and future plans for Android development. Presented by Dr Dario Salvi of University of Oxford at LSHTM's 'Enhancing data capture in health research' RDM event on November 20th, 2015.
Case study on the use of electronic data collection in a modular household survey as part of the IDEAS project. Presented by Keith Tomlin at LSHTM's 'Enhancing data capture in health research' RDM event on November 20th, 2015.
Case study on mobile-based experience sampling using the Q-Sense and EmotionSense platform. Presented by Dr. Neal Lathia of Cambridge University at LSHTM's 'Enhancing data capture in health research' RDM event on November 20th, 2015.
An introduction to the FAIR principles and a discussion of key issues that must be addressed to ensure data is findable, accessible, interoperable and re-usable. The session explored the role of the CDISC and DDI standards for addressing these issues.
Presented by Gareth Knight at the ADMIT Network conference, organised by the Association for Data Management in the Tropics, in Antwerp, Belgium on December 1st 2015.
The document outlines various data sharing resources available for researchers at LSHTM including a research data management service website, training modules, advice and support, a research data repository, data sharing guidance, and plans to launch an LSHTM Data Repository in Spring 2015. The resources are intended to help researchers with data management plans, documenting and organizing data, keeping data secure, curating and preserving data, sharing and reusing data, citing data, and making data available and accessible through the upcoming LSHTM Data Repository.
Presentation given by Gareth Knight to open the 'Data Sharing in Public Health' workshop at the London School of Hygiene & Tropical Medicine on November 12th 2014.
An overview of the LSHTM Research Data Management Policy, outlining the motivations for its introduction, obligations that need to be met and the support available
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Chris Bolin, Senior Intelligent Automation Architect Anika Systems
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Research data services at the University of Oxford
1. Research
data
services
at
the
University
of
Oxford
Sally
Rumsey
The
Bodleian
Libraries
University
of
Oxford
Mary
Harssch
www.flickr.com/photos/mharrsch/132558912/
CC
BY-‐NC-‐SA
2.0
This
work
is
licensed
under
a
CreaKve
Commons
Licence
AMribuKon-‐ShareAlike
4.0
2. 1. RDM
at
Oxford:
OrganizaKonal
structure
2. Tools
and
services
available
inc
ORCID
3. Challenges
along
the
way
4. Next
steps
Themes
Copyright
2010
Francis
Rumsey
3. • Oxford RDM Working Group
• Academically led
• RDM policy
• Collaborative services development to support researchers
• Research Services (grant writing, licensing legal issues)
• IT Services (active / live data)
• Bodleian Libraries (advice, training and archiving)
Research Data Oxford
4. RDM
Programme
Research
CommiMee
Research
InformaKon
Management
&
Technology
Sub-‐commiMee
Research
Data
Management
&
Open
Data
Working
Group
Research
Services
IT
Services
Bodleian
Libraries
5. Policy
on
the
Management
of
Research
Data
and
Records
1. Promote
good
data
management
2. Acknowledges
obligaKons
to
funders
3. Work
in
partnership
to
achieve
good
pracKce
4. Data
retenKon
5. Legal
and
ethical
obligaKons
6. Researchers
and
University
responsibiliKes
8. • Work in progress
• Quick win
• Customizing help text
Oxford DMP Online
9. Live data services:
ORDS
1. Online
Research
Database
Service
2. Tool
for
researchers
working
with
relaKonal
databases
3. secure
database
hosKng,
sharing,
and
ediKng
interfaces
for
collaboraKons
to
query
data
and
publish
research
4. hMp://ords.ox.ac.uk/
10. Institutional data archive: ORA-Data
1. An
extension
to
the
exisKng
publicaKons
repository
2. Managed
and
maintained
by
the
Bodleian
Libraries
3. Data
catalogue:
Records
for
datasets
located
elsewhere
4. DocumentaKon
and
metadata
describing
the
dataset
5. Long-‐term
archive
to
preserve
data
6. DOI
for
data
citaKon
(Datacite)
7. High
visibility
1. discoverable
2. Sharable
8. Detailed
help
on
LibGuide
13. • What data to retain
• Charging model
• Data and theses
• DOI – point of assignment
• Understanding DOIs
• EPSRC policy – refined advice
• Descriptive metadata “to understand the dataset”
• Active preservation
• Service sustainability
Major challenges
14. 1. RDO
website
1. ConKnual
updaKng
2. DMP
Online
1. Complete
customizaKon
2. List
benefits,
help
text
and
promoKon
3. ORDS
1. ConKnue
roll-‐out
and
service
development
2. Seamless
deposit
in
ORA-‐Data
and
other
data
archives
4. ORA-‐Data
1. Charging
model
2. Refine
and
extend
processes
and
procedures
(eg
DOI
process;
handling
large
files)
3. ConKnue
technical
improvement
including
review
and
infrastructure
4. Project
to
service
transiKon
5. Review
all
RDM
services
(quarterly/annually)
6. Dovetail
data
services
to
fit
with
OA
Service
Next steps