Jisc Research Data Discovery Service ProjectJisc RDM
This document summarizes the UK Research Data Discovery Service (UKRDDS) project run by Jisc from 2013-2016. The project had two phases: an initial pilot to evaluate options for a research data registry and a second phase to build a test service based on the CKAN platform. The project engaged universities and data centers to pilot the service and provide feedback. It focused on developing a core metadata schema and getting stakeholder input to define requirements and priorities through an advisory group structure. The timeline outlines milestones like prototyping the service, implementing pilots, and developing plans to transition the service to ongoing operations.
Jisc Research Data Shared Service - Spring UpdateJisc RDM
This document provides an overview and update on Jisc's Research Data Shared Service. It discusses the vision, goals, and key requirements of creating a shared research data infrastructure. It also provides details on the supplier framework, consultant support, pilot engagements, and strategic view of the service. The service aims to make research data management easier for researchers and help institutions meet requirements in a cost-effective, interoperable manner.
The document outlines Research Data Spring, a program that supports partnerships to improve the research data lifecycle. It aims to find new tools and solutions for researchers' data management and use. The program has funded several phases of projects, with Phase II including 11 projects and Phase III focusing on 7 continued projects. Upcoming work includes developing the projects into robust solutions and services and showcasing results in autumn 2016.
The document outlines the mission and aims of establishing a business case and costing process for research data management (RDM) in a more efficient and effective manner. It discusses commissioning work from Research Consulting to deliver a high-level business case for RDM and from Cambridge Econometrics to analyze methods to quantify the economic benefits of RDM. The next steps include publishing the commissioned reports and resources in May 2016 to provide RDM costing schemas, budgets, templates, and awareness materials.
Measuring the costs and benefits of RDM to supporta a business caseJisc RDM
Graham Hay of Cambridge Econometrics on measuring the costs and benefits of RDM to support a business case for the Research Data Network event in May 2016, Cardiff University.
Business case and cost modelling for an end-to-end RDM serviceJisc RDM
Presentation by Frances Madden and Dave Cobb on the Royal Holloway business case and cost modelling for RDM. Cardiff, May 2016, research data network event.
Jisc Research Data Discovery Service ProjectJisc RDM
This document summarizes the UK Research Data Discovery Service (UKRDDS) project run by Jisc from 2013-2016. The project had two phases: an initial pilot to evaluate options for a research data registry and a second phase to build a test service based on the CKAN platform. The project engaged universities and data centers to pilot the service and provide feedback. It focused on developing a core metadata schema and getting stakeholder input to define requirements and priorities through an advisory group structure. The timeline outlines milestones like prototyping the service, implementing pilots, and developing plans to transition the service to ongoing operations.
Jisc Research Data Shared Service - Spring UpdateJisc RDM
This document provides an overview and update on Jisc's Research Data Shared Service. It discusses the vision, goals, and key requirements of creating a shared research data infrastructure. It also provides details on the supplier framework, consultant support, pilot engagements, and strategic view of the service. The service aims to make research data management easier for researchers and help institutions meet requirements in a cost-effective, interoperable manner.
The document outlines Research Data Spring, a program that supports partnerships to improve the research data lifecycle. It aims to find new tools and solutions for researchers' data management and use. The program has funded several phases of projects, with Phase II including 11 projects and Phase III focusing on 7 continued projects. Upcoming work includes developing the projects into robust solutions and services and showcasing results in autumn 2016.
The document outlines the mission and aims of establishing a business case and costing process for research data management (RDM) in a more efficient and effective manner. It discusses commissioning work from Research Consulting to deliver a high-level business case for RDM and from Cambridge Econometrics to analyze methods to quantify the economic benefits of RDM. The next steps include publishing the commissioned reports and resources in May 2016 to provide RDM costing schemas, budgets, templates, and awareness materials.
Measuring the costs and benefits of RDM to supporta a business caseJisc RDM
Graham Hay of Cambridge Econometrics on measuring the costs and benefits of RDM to support a business case for the Research Data Network event in May 2016, Cardiff University.
Business case and cost modelling for an end-to-end RDM serviceJisc RDM
Presentation by Frances Madden and Dave Cobb on the Royal Holloway business case and cost modelling for RDM. Cardiff, May 2016, research data network event.
The document summarizes a workshop on interoperability between grant funding systems. Key points discussed include:
- Desire to reduce duplication by allowing data to be shared between research organization and funding council systems.
- Initial outcomes from the workshop on possible ways to share data on costs, people, students, spending, and outcomes.
- Barriers to interoperability include the diversity of research organization systems and incomplete adoption of standards.
- The new grants system will take an agile approach, gradually introducing functionality based on user research and testing.
Les Hawkins discusses the development of the CONSER Standard Record (CSR) for cataloging serials. He addresses the challenges of introducing change, building trust, and clear communication. The CSR provides essential elements for users while streamlining training. It was developed cooperatively, tested at several institutions, and informed by user perspectives. While initial agreement took time, outreach, documentation, and online learning have increased adoption of the CSR over the past year.
AMASED: Access methods for analysing sensitive dataJisc
The document summarizes the goals and progress of the AMASED project, which aims to develop methods for analyzing sensitive research data using the DataSHIELD software. Key goals include developing text analysis packages for the British Library dataset, implementing a pilot with F1000 Research, and scoping a user interface. Recent progress includes successful text analysis of unrestricted library data and further defining challenges of integrating data cleaning tools. Next steps include establishing an advisory group, developing proofs of concept for analyzing library and research paper data, and scoping a user interface. Funding of £59,406 is requested from Jisc and the University of Bristol to complete these goals.
An Overview of Data Citation Principles Synthesis ActivityMicah Altman
The document discusses an ongoing effort to synthesize recommendations for data citation principles from various groups. It notes there is agreement on key principles like the need for citation, use of persistent identifiers, and support for access and verification. The synthesis group has identified consistent principles across recommendations and seeks to formulate a draft synthesis highlighting principles, examples, and references. The group plans to disseminate and promote adoption of an agreed upon declaration of principles.
This document describes Spotlight Data, a company that uses text mining, machine learning, and data visualization to help with research data management. It introduces key members of Spotlight Data's team and describes some of their current projects, including work with the UK government and Durham University applying text mining and machine learning to large datasets. It also provides an overview of Spotlight Data's Nanowire system for ingesting, processing, and analyzing both structured and unstructured data at scale using a microservices architecture.
1. Metrics are being developed to track downloads and reuse of research data to understand impact and reassure researchers. A new service called IRUS for Data will provide metrics for data repositories across different platforms.
2. There is debate around what data citations mean and how they should be used and understood. Projects are working to develop best practices and encourage responsible use of citation metrics for data.
3. Ensuring research data sharing is recognized in existing systems like journal policies is challenging due to lack of standards. Initiatives are working with publishers and repositories to develop guidance and implement principles for data citation.
Northumbria University is working to implement a robust research data management (RDM) solution. It has engaged in several activities to assess current RDM practices and infrastructure needs, including interviews with grant holders, a survey of researchers, and workshops with the Digital Curation Centre. Through these workshops, the university used the RISE model to evaluate its capabilities for data ingest, access, preservation, and more across several potential repository platforms. This helped provide evidence to secure budget and staffing to pilot and roll out a new RDM system starting in 2018. The university aims to go to procurement in September 2017 after finalizing business requirements and an options appraisal.
SCONUL Summer Conference 2018 - Paul Feldmansconul
The document outlines Jisc's strategic priorities for 2020 related to learning and teaching which include better student outcomes through personalized learning, improved planning and management of technology enhanced learning, and the delivery of high-quality and cost-effective blended learning. It also discusses using learning analytics and other data to create more efficient campuses and improve teaching, curricula, retention and attainment. The priorities are aimed at responding to changes in the external landscape and expanding provision through new digital models.
DMAOnline - data management administration onlineJisc
The document summarizes the progress and next steps of the DMAOnline project. In phase 1, they refined use cases and developed a prototype dashboard with real university data. For phase 2, they plan to: deliver a version 2 prototype with live data ingestion and improved visualization; scale the backend to manage multi-institutional data; and have live university data and at least 3 early adopters using the system. Funding of £36,198 is requested to support developer and manager time as well as project meetings with early adopters.
This document summarizes a webinar for the Research Data Discovery Service Phase 3 project. The webinar agenda included project updates, a review of the latest system status including harvesting and requirements, a discussion of metadata, an overview of next steps for Phase 3, and time for questions. Participants were encouraged to provide feedback and help test the beta version of the system as it is further developed into a production research data discovery service.
Gold, silver, bronze - research data networkJisc RDM
This document discusses the development of a scalable data model to meet researcher metadata requirements. It describes conceptual and practical processes used, including aligning with standards and popular data models. An example shows over 1500 lines of metadata XML for one data package. A research data shared service is proposed to provide bronze, silver, or gold ratings for metadata completeness. Focus groups with researchers are evaluating metadata fields and use cases to test the infrastructure. Exercises are used to gather information about researchers' metadata production and needs at different research lifecycle stages.
HESA data, describing research activity and #REF2021Jisc RDM
Research Data Network
Dan Cook, Head of Data Policy & Development at HESA;
An update on the work Hesa is doing in relation to research data, especially in the context of the forthcoming REF.
This document summarizes Helen Henderson's presentation on institutional identifiers. It discusses existing standards like ONIX, COUNTER, and ISSN, as well as new standards being developed like KBART, Project TRANSFER, and CORE. It outlines several scenarios where institutional identifiers could be used, such as in the electronic resources supply chain, eLearning, research funding, and author registries. It describes the stakeholders involved in each scenario and key issues to address. Finally, it provides the timeline and work plan for the NISO working group developing a new institutional identifier standard.
**Researcher engagement resources: a demonstration**
*Rosie Higman, University of Cambridge/Manchester, Hardy Schwamm, Lancaster University*
Research Data Network
This document discusses supporting data sharing through publisher policies and services. It summarizes that over 40 research funders globally require data archiving as a condition for grants. While funder policies motivate researchers to share data, complying with these policies is challenging for over half of researchers. The document then discusses Springer Nature's efforts to standardize and harmonize research data policies across journals, provide related support services to help with compliance, and lessons learned from their implementation progress.
Rachel Bruce, deputy chief innovation officer at Jisc talking about the feedback from the research data shared service pilots on DMP. Research Data Network, York
This document outlines the agenda for a 45 minute UBC JumpStart workshop on using library resources. The workshop will cover searching for books and journals in the library catalog, connecting to full-text articles from off-campus, understanding subject guides, finding liaison librarians, reviewing the science and engineering library website, eBooks, accessing articles not owned by UBC, and reviewing library accounts. It provides instructions on accessing the UBC Library website and searching for books in the library catalog.
This document provides an overview of various social software tools relevant to forestry professionals, including blogs, RSS feeds, podcasts, wikis, instant messaging, and social networks. It defines each tool, provides examples of their use in forestry, and discusses how professionals can implement them. The goal is to introduce these Web 2.0 technologies and foster more interaction within the forestry community.
The document summarizes a workshop on interoperability between grant funding systems. Key points discussed include:
- Desire to reduce duplication by allowing data to be shared between research organization and funding council systems.
- Initial outcomes from the workshop on possible ways to share data on costs, people, students, spending, and outcomes.
- Barriers to interoperability include the diversity of research organization systems and incomplete adoption of standards.
- The new grants system will take an agile approach, gradually introducing functionality based on user research and testing.
Les Hawkins discusses the development of the CONSER Standard Record (CSR) for cataloging serials. He addresses the challenges of introducing change, building trust, and clear communication. The CSR provides essential elements for users while streamlining training. It was developed cooperatively, tested at several institutions, and informed by user perspectives. While initial agreement took time, outreach, documentation, and online learning have increased adoption of the CSR over the past year.
AMASED: Access methods for analysing sensitive dataJisc
The document summarizes the goals and progress of the AMASED project, which aims to develop methods for analyzing sensitive research data using the DataSHIELD software. Key goals include developing text analysis packages for the British Library dataset, implementing a pilot with F1000 Research, and scoping a user interface. Recent progress includes successful text analysis of unrestricted library data and further defining challenges of integrating data cleaning tools. Next steps include establishing an advisory group, developing proofs of concept for analyzing library and research paper data, and scoping a user interface. Funding of £59,406 is requested from Jisc and the University of Bristol to complete these goals.
An Overview of Data Citation Principles Synthesis ActivityMicah Altman
The document discusses an ongoing effort to synthesize recommendations for data citation principles from various groups. It notes there is agreement on key principles like the need for citation, use of persistent identifiers, and support for access and verification. The synthesis group has identified consistent principles across recommendations and seeks to formulate a draft synthesis highlighting principles, examples, and references. The group plans to disseminate and promote adoption of an agreed upon declaration of principles.
This document describes Spotlight Data, a company that uses text mining, machine learning, and data visualization to help with research data management. It introduces key members of Spotlight Data's team and describes some of their current projects, including work with the UK government and Durham University applying text mining and machine learning to large datasets. It also provides an overview of Spotlight Data's Nanowire system for ingesting, processing, and analyzing both structured and unstructured data at scale using a microservices architecture.
1. Metrics are being developed to track downloads and reuse of research data to understand impact and reassure researchers. A new service called IRUS for Data will provide metrics for data repositories across different platforms.
2. There is debate around what data citations mean and how they should be used and understood. Projects are working to develop best practices and encourage responsible use of citation metrics for data.
3. Ensuring research data sharing is recognized in existing systems like journal policies is challenging due to lack of standards. Initiatives are working with publishers and repositories to develop guidance and implement principles for data citation.
Northumbria University is working to implement a robust research data management (RDM) solution. It has engaged in several activities to assess current RDM practices and infrastructure needs, including interviews with grant holders, a survey of researchers, and workshops with the Digital Curation Centre. Through these workshops, the university used the RISE model to evaluate its capabilities for data ingest, access, preservation, and more across several potential repository platforms. This helped provide evidence to secure budget and staffing to pilot and roll out a new RDM system starting in 2018. The university aims to go to procurement in September 2017 after finalizing business requirements and an options appraisal.
SCONUL Summer Conference 2018 - Paul Feldmansconul
The document outlines Jisc's strategic priorities for 2020 related to learning and teaching which include better student outcomes through personalized learning, improved planning and management of technology enhanced learning, and the delivery of high-quality and cost-effective blended learning. It also discusses using learning analytics and other data to create more efficient campuses and improve teaching, curricula, retention and attainment. The priorities are aimed at responding to changes in the external landscape and expanding provision through new digital models.
DMAOnline - data management administration onlineJisc
The document summarizes the progress and next steps of the DMAOnline project. In phase 1, they refined use cases and developed a prototype dashboard with real university data. For phase 2, they plan to: deliver a version 2 prototype with live data ingestion and improved visualization; scale the backend to manage multi-institutional data; and have live university data and at least 3 early adopters using the system. Funding of £36,198 is requested to support developer and manager time as well as project meetings with early adopters.
This document summarizes a webinar for the Research Data Discovery Service Phase 3 project. The webinar agenda included project updates, a review of the latest system status including harvesting and requirements, a discussion of metadata, an overview of next steps for Phase 3, and time for questions. Participants were encouraged to provide feedback and help test the beta version of the system as it is further developed into a production research data discovery service.
Gold, silver, bronze - research data networkJisc RDM
This document discusses the development of a scalable data model to meet researcher metadata requirements. It describes conceptual and practical processes used, including aligning with standards and popular data models. An example shows over 1500 lines of metadata XML for one data package. A research data shared service is proposed to provide bronze, silver, or gold ratings for metadata completeness. Focus groups with researchers are evaluating metadata fields and use cases to test the infrastructure. Exercises are used to gather information about researchers' metadata production and needs at different research lifecycle stages.
HESA data, describing research activity and #REF2021Jisc RDM
Research Data Network
Dan Cook, Head of Data Policy & Development at HESA;
An update on the work Hesa is doing in relation to research data, especially in the context of the forthcoming REF.
This document summarizes Helen Henderson's presentation on institutional identifiers. It discusses existing standards like ONIX, COUNTER, and ISSN, as well as new standards being developed like KBART, Project TRANSFER, and CORE. It outlines several scenarios where institutional identifiers could be used, such as in the electronic resources supply chain, eLearning, research funding, and author registries. It describes the stakeholders involved in each scenario and key issues to address. Finally, it provides the timeline and work plan for the NISO working group developing a new institutional identifier standard.
**Researcher engagement resources: a demonstration**
*Rosie Higman, University of Cambridge/Manchester, Hardy Schwamm, Lancaster University*
Research Data Network
This document discusses supporting data sharing through publisher policies and services. It summarizes that over 40 research funders globally require data archiving as a condition for grants. While funder policies motivate researchers to share data, complying with these policies is challenging for over half of researchers. The document then discusses Springer Nature's efforts to standardize and harmonize research data policies across journals, provide related support services to help with compliance, and lessons learned from their implementation progress.
Rachel Bruce, deputy chief innovation officer at Jisc talking about the feedback from the research data shared service pilots on DMP. Research Data Network, York
This document outlines the agenda for a 45 minute UBC JumpStart workshop on using library resources. The workshop will cover searching for books and journals in the library catalog, connecting to full-text articles from off-campus, understanding subject guides, finding liaison librarians, reviewing the science and engineering library website, eBooks, accessing articles not owned by UBC, and reviewing library accounts. It provides instructions on accessing the UBC Library website and searching for books in the library catalog.
This document provides an overview of various social software tools relevant to forestry professionals, including blogs, RSS feeds, podcasts, wikis, instant messaging, and social networks. It defines each tool, provides examples of their use in forestry, and discusses how professionals can implement them. The goal is to introduce these Web 2.0 technologies and foster more interaction within the forestry community.
Web 2.0 in Health: a Practical Overviewubcphysioblog
This is a presentation for the British Columbia Ministry of Health by Eugene Barsky, Librarian from the University of British Columbia. Presented on October 31, 2007
Science and Engineering Resources @ your Libraryubcphysioblog
This document provides an overview and instruction on using various resources for science and engineering research at the University of British Columbia (UBC) Library. It discusses subject guides for different disciplines, databases like Compendex and ProQuest Dissertations, and how to optimize searches on Google and Google Scholar. The 60 minute presentation covers navigating these resources, conducting sample searches, and getting help from UBC librarians.
Portable Science - Podcasting As An Outreach Tool For A Large Academic Scienc...ubcphysioblog
This document discusses the University of British Columbia Science and Engineering Library's use of podcasting as an outreach tool. It began by recording and archiving lectures from the Physics and Astronomy department. The library handles all aspects of creating, hosting, and maintaining the podcasts. While podcasting requires resources, it has the potential to increase student and community engagement while showcasing the library and university's resources. Going forward, the library aims to expand podcasting to additional departments and explore using video recording.
Research Science and Engineering Informationubcphysioblog
The document provides an overview of how to search for books, journals, articles and other research materials using the UBC Library website and resources. It discusses searching the library catalogue for books and journals, using subject guides to find relevant databases and resources for a topic, connecting remotely to access full-text articles, and services for obtaining items not owned by UBC Library like interlibrary loans. It also mentions account services and introduces the Compendex database as a key resource for engineering research.
Rachel Bruce UK research and data management where are we nowJisc
The document discusses the state of research data management in UK universities. It finds that while areas like data cataloguing and access/storage systems are progressing, governance of data access/reuse and digital preservation/planning are lagging. Barriers to progress include low researcher priority, funding availability, and lack of staff/infrastructure. Gaps include defining responsibilities, standards, costs, and tools. Coordination and sharing resources across institutions is needed to help universities advance research data management.
From logic model to data model: real and perceived barriers to research asses...ORCID, Inc
The document discusses barriers to research assessment and describes how a web-based data collection and analysis system called iTRAQR helped address those barriers for the Physical Sciences-Oncology Centers (PS-OC) program. It summarizes how iTRAQR allowed automated collection of publication, collaboration, and other data; linking of individuals' contributions over time; and generation of charts and graphs to analyze outputs and outcomes at individual, center, and network levels. The document concludes that evaluation is improved by early design, engagement with participants, and consideration of follow-up actions informed by the evaluation.
The document provides an overview of the Research Capability Programme (RCP) which aims to enable use of NHS data for research purposes. It discusses the RCP's enabling phase where governance structures and stakeholder engagement were established. The implementation phase will develop infrastructure to provide research support services including access to data sources, cohort management, and anonymization/coding of data. Key challenges include ensuring opportunities are maximized, improving data linkage and quality, and navigating complex information governance issues.
Stuart Macdonald served a 6-month secondment as CISER Data Services Librarian (Oct. 2013 – April 2014). Here he records his co-ordination of the CISER Data Archive application through self-assessment for Data Seal of Approval accreditation. Presented at IASSIST 2015, Minneapolis MN, USA, 3 June 2015.
Practical Research Data Management: tools and approaches, pre- and post-awardMartin Donnelly
This document provides an overview of a presentation on practical research data management. It discusses the importance of research data management, who is involved in the process, and the benefits it provides, such as increased efficiency and accessibility of data. It emphasizes that data management planning is a shared activity that should involve researchers, support staff, and other stakeholders. Effective data management planning helps ensure data is organized, documented, preserved, and shared appropriately. The presentation also provides examples of what a data management plan may include and why creating one is important for collaborative research projects.
This document provides an overview of a webinar on digital curation and research data management for universities. The webinar covers an introduction to digital curation, the benefits and drivers for research data management, current initiatives in UK universities, and the role of libraries in supporting research data management. Libraries are increasingly involved in developing institutional policies, providing training, and advising researchers on writing data management plans and sharing data. The webinar highlights training opportunities for librarians to develop skills in research data management and digital curation.
The document summarizes the development of an evaluation framework and data collection system for the Physical Sciences-Oncology Centers (PS-OC) program. It describes how the program initially collected data manually but transitioned to an automated system called iTRAQR that allows for structured data entry and visualization of outputs like publications, collaborations, and personnel. The system helps analyze activities at the individual, center, and network levels. Lessons learned include starting with a logic model, having a flexible approach, and recognizing that evaluation depends on available data. Overall, the document outlines how the PS-OC program developed its evaluation strategy and an in-house system to systematically track outputs and outcomes over time.
Survey of research data management practices up2010heila1
The document summarizes the findings of a survey conducted by the University of Pretoria Library Services department from October 2009 to March 2010. The survey interviewed 52 researchers and students to evaluate current research data management practices. It found that while support for research activities is good, data management practices are ad hoc and informal. Top needs identified were a central data repository and increased storage options. The report recommends establishing a research data manager position and exploring partnerships with national data initiatives.
Paper was presented at European Survey Research Association 2013, in the session Research Data Management for Re-use: Bringing Researchers and Archivists closer.
Data Harmonization for a Molecularly Driven Health SystemWarren Kibbe
Seminar for Dr. Min Zhang's Purdue Bioinformatics Seminar Series. Touched on learning health systems, the Gen3 Data Commons, the NCI Genomic Data Commons, Data Harmonization, FAIR, and open science.
Jisc is a UK organization that supports digital technology use in education and research. There is growing pressure on universities to better manage research data due to funder policies requiring data sharing. Jisc is working with universities to build research data management capacity through infrastructure projects, training programs, and developing best practices. Barriers to progress include low researcher priority for data management and lack of funding and resources.
Research Data, or: How I Learned to Stop Worrying and Love the PolicyTorsten Reimer
1) The document summarizes the development of Imperial College London's research data management policy. It involved investigating current practices through surveys and interviews, piloting small projects, and taking a flexible approach focused on practical solutions rather than strict compliance.
2) A key finding was that researchers want secure but accessible storage and sharing of research data. The policy implemented flexible infrastructure using existing tools like Box, GitHub, Zenodo and Symplectic to meet researchers' needs.
3) The approach was to make practical progress initially while continuing to learn and adapt the solutions, rather than waiting for perfect solutions or strict funder compliance.
The document summarizes NIH's approach to data science and the ADDS mission. It discusses establishing a data ecosystem through community, policy, and infrastructure. The goals are to foster sustainability, efficiency, collaboration, reproducibility, and accessibility. NIH plans to seed the ecosystem through existing resources and funding. Example initiatives include establishing a data commons, standards, and training programs to develop a diverse data science workforce. The overall aim is to support a "digital enterprise" that enhances biomedical research and health outcomes.
Dr. Tito Castillo discusses challenges with data discovery and sharing at University College London Hospitals (UCLH) due to their multiple proprietary clinical systems with undocumented data and data warehouses. To address this, UCLH is taking a standards-based approach using models like DDI and SDMX to document metadata and map their processes. The goal is to enable better data access, sharing, and reuse to support research programmes and new models of care while respecting governance and privacy.
This document provides an overview of the resources and services available at the UBC library for science and engineering students. It discusses how to search the library catalog for books and journals, find subject guides for specific topics, connect to full-text articles off campus, locate relevant ebooks and interlibrary loans, and contact subject librarians for assistance. The library offers databases, ebooks, and other resources for science and engineering research that can be accessed from the library website or by speaking with a subject librarian.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness, happiness and focus.
The document provides an overview of a workshop on how to effectively use PubMed. It introduces PubMed and its capabilities, describes how to perform simple and advanced searches, and demonstrates how to use Medical Subject Headings (MeSH) terms to narrow searches. It also discusses limits, sorting results, related articles, saving articles to a clipboard, and registering for a myNCBI account to receive alerts and save articles. The goal is to help users understand PubMed and use its powerful search techniques.
Staying up-to-date with your practice – current awareness for health professi...ubcphysioblog
The document discusses the importance of health professionals staying up-to-date with new research and evidence in their field. It reviews two free tools, PubMed's myNCBI and Google Alerts, that can help users receive alerts about new relevant publications and information. The tools allow users to save searches, receive email updates on new results, and stay current on specific topics, journals, or general news related to their practice or interests. Setting up alerts with these services provides an easy way for professionals to continuously learn and incorporate the latest evidence into patient care.
Implementing Web 2.0 tools into health library practice and outreachubcphysioblog
The document discusses implementing various Web 2.0 tools like blogs, RSS feeds, podcasting, instant messaging, and wikis in health library outreach and practice. It provides examples of how the UBC Physio Outreach librarian uses these tools to serve over 1,700 physiotherapists in British Columbia, including maintaining an info blog, creating podcasts of workshops and presentations, and setting up a wiki for sharing health information among librarians. The goals are to engage users and provide diverse information through pushed content and interactive platforms.
Using Social Software in Health Librariesubcphysioblog
1. The document discusses the use of social software tools like blogs, wikis, podcasts, and RSS feeds in health libraries.
2. It provides definitions and examples of different social media tools and their potential benefits for knowledge sharing and communication among health professionals.
3. The workshop engaged participants in hands-on activities using tools like blogs, wikis, and podcasts to experience their interactive features and discuss their future applications in health libraries.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
The Building Blocks of QuestDB, a Time Series Database
Sla poster rdm_draft_20140529_v04
1. Visual and interactive discovery of research data management needs in a large
multi-disciplinary research centre
Kristof Kessler, Eugene Barsky and Lindsay Nettlefold
SLA Conference, June 2014
eugene.barsky@ubc.ca
How can we enhance the efficacy of discovering and addressing research data management needs?
Template of Visual and Interactive Approach
Overview
Who: The Centre for Hip Health and Mobility (CHHM),
University of British Columbia (UBC) Library and UBC IT.
What: Instrument to assess data management needs
for a large research centre with multi-disciplinary
research projects.
Why: Researchers need to understand their data and
funders in Canada (TC3+) will start requiring data
management plans soon.
How: Worked with 25 researchers and 11 projects for
this pilot to understand data needs across projects.
*For example: Data Curation Profiles, DAF, CARDIO
Group data streams with similar characteristics:
•Medical imaging
•Questionnaires and physical measures
•Accelerometer, GPS, and other processed data
•Qualitative data, audio files, and video files
•Data consolidation and statistical analysis
Visualization of project data life cycles facilitates
standards and processes across multiple projects
Data Collection
Instruments
Processing
Steps
Outcomes
Methods
Scope
• Understand data needs across CHHM research
projects
• Consulted 25 researchers and 11 projects
• Involved other stakeholders: UBC IT, Library, Ethics
and Privacy
• Want to leverage findings for other UBC research
groups.
Existing Needs Assessment Tools:
• None of available tools* worked in given context
• For example, Purdue’s questionnaire takes 10-15 hrs
per project! However, they provide a comprehensive
set of questions to consider in data assessment
Objective
Assess data management needs and facilitate
data management planning within a multi-
disciplinary research environment.
Our New Approach
Data Curation Profiling Pilots
Need for Visual and Interactive Approach
(see figures 1 & 2)
Three Types of Objects Required to Capture
Data Flow