Provincial Perspectives on Research Impacts: Eddy Nason, Renata Osika, Krista...CASRAI
When we say “Research Impact” many things come to mind and the reasons for why we are concerned with it vary. The underlying concepts are complex and often require expert knowledge, and there is also no one single interpretation or answer. Stakeholders are diverse and so are the means of communication. Therefore across Canada, we continue to seek more consistent and harmonized ways of telling the “Impact Story.” The panel will reflect on harmonization efforts across provinces.
Research Data Management in Canada: Chuck Humphrey, Kathleen Shearer, Jeff MoonCASRAI
Billions of dollars are invested each year in research, an investment that generates vast and diverse amounts of research data. If properly managed, these data have virtually limitless potential to be re-used in innovative ways. Sound research data management (RDM) practices, with due respect for confidentiality and intellectual property, accelerate scientific progress by allowing researchers to access and re-use others' data for their own scientific purposes, thereby adding value to those data and speeding up the rate of new discoveries. It also leads to efficiencies by preventing duplication in data creation, and enables greater transparency and verification of research findings. The federal government has recently published Canada's Action Plan on Open Government 2014-16, which contains a section on Open Science that includes deliverables on open access to publications and data resulting from federally funded scientific activities. It also calls for the development and adoption of policies, guidelines and tools to support effective stewardship of scientific data. In addition, the Tri-Councils have made public a draft Statement of Principles for Digital Data Management. Simultaneously, there are significant efforts to develop services and infrastructure that support RDM in Canada. This session will discuss the evolving context and landscape of research data management and present an update on the status of Portage, an initiative of the Canadian Association of Research Libraries (CARL) to create a library-based research data management network in Canada. The session will also present a demonstration of one of the first major outputs of Portage: a national, bilingual, online tool for creating data management plans that is available to all researchers in Canada.
Community Capability Model Framework Checklist Tool - Demo & ReviewManjulaPatel
Presented by Manjula Patel (UKOLN, University of Bath) on 14th January 2013, Community Capability Framework for Data-Intensive Research - Applying the Model, CCMDIR Workshop, International Digital Curation Conference 2013, Amsterdam
This is the lecture slide deck for learning module five of OILS 513, Digital Information Management. The lecture topic is on the field of Knowledge Management
A Current Research Information System, usually known as a “CRIS”, is a system designed to help with the information management of research activity at an institution. The systems provide a common approach to organising data such that they can be used for many purposes, including support for evaluation of research, support for research assessment, compliance management and to assist in the promotion and access to the outcomes of research. CRIS also aim to provide a ‘one stop shop’ of information used for staff CVs and other researcher profiles.
This webinar will provide a brief and general overview of a CRIS and describe how such a system is being used at the University of Edinburgh.
Relationship Building and Advocacy Across the CampusUCD Library
Presentation given by Julia Barrett, Research Services Manager at University College Dublin Library, to the ANLTC Seminar: Supporting the Activities of Your Research Community - Issues and Initiatives, held on December 3, 2014 at the Royal Irish Academy, Dublin, Ireland.
Open Data Initiatives – Empowering Students to Make More Informed Choices? - ...Terminalfour
Are the developments in the HEFCE and JISC XCRI XML standards finally giving students the information they need to compare one university against the other? By standardising the output of content about courses, results and post graduation success in the job market, are students better positioned to evaluate the right University for them. This presentation will answer this question and discuss how universities can utilize Web Content Management to deliver on the demands of these standards and maximise student engagement.
XSEDE is a major research infrastructure with collaborations worldwide supporting thousands of researchers across a wide range of domains. XSEDE has taken an integrative and holistic approach to supporting researchers in the use of the varying resources and services available via XSEDE. This presentation will briefly review XSEDE and its vision and provide a discussion of the efforts within XSEDE targeted at supporting research communities.
Birgit Plietzsch “RDM within research computing support” SALCTG June 2013SALCTG
An overview of Research Data Management: the research process from developing ideas to preservation of data; funder perspectives, the impact on the wider service, Data Asset Frameworks, preservation and access, and cost implications.
Open data in ubi systems research data management plan (part 4)Heli Väätäjä
This slideset motivates to creating a data management plan and gives initial advice. Slides are from the seminar on Open Data in Ubiquitous Systems Research aimed for doctoral students in HCI and CS.
Provincial Perspectives on Research Impacts: Eddy Nason, Renata Osika, Krista...CASRAI
When we say “Research Impact” many things come to mind and the reasons for why we are concerned with it vary. The underlying concepts are complex and often require expert knowledge, and there is also no one single interpretation or answer. Stakeholders are diverse and so are the means of communication. Therefore across Canada, we continue to seek more consistent and harmonized ways of telling the “Impact Story.” The panel will reflect on harmonization efforts across provinces.
Research Data Management in Canada: Chuck Humphrey, Kathleen Shearer, Jeff MoonCASRAI
Billions of dollars are invested each year in research, an investment that generates vast and diverse amounts of research data. If properly managed, these data have virtually limitless potential to be re-used in innovative ways. Sound research data management (RDM) practices, with due respect for confidentiality and intellectual property, accelerate scientific progress by allowing researchers to access and re-use others' data for their own scientific purposes, thereby adding value to those data and speeding up the rate of new discoveries. It also leads to efficiencies by preventing duplication in data creation, and enables greater transparency and verification of research findings. The federal government has recently published Canada's Action Plan on Open Government 2014-16, which contains a section on Open Science that includes deliverables on open access to publications and data resulting from federally funded scientific activities. It also calls for the development and adoption of policies, guidelines and tools to support effective stewardship of scientific data. In addition, the Tri-Councils have made public a draft Statement of Principles for Digital Data Management. Simultaneously, there are significant efforts to develop services and infrastructure that support RDM in Canada. This session will discuss the evolving context and landscape of research data management and present an update on the status of Portage, an initiative of the Canadian Association of Research Libraries (CARL) to create a library-based research data management network in Canada. The session will also present a demonstration of one of the first major outputs of Portage: a national, bilingual, online tool for creating data management plans that is available to all researchers in Canada.
Community Capability Model Framework Checklist Tool - Demo & ReviewManjulaPatel
Presented by Manjula Patel (UKOLN, University of Bath) on 14th January 2013, Community Capability Framework for Data-Intensive Research - Applying the Model, CCMDIR Workshop, International Digital Curation Conference 2013, Amsterdam
This is the lecture slide deck for learning module five of OILS 513, Digital Information Management. The lecture topic is on the field of Knowledge Management
A Current Research Information System, usually known as a “CRIS”, is a system designed to help with the information management of research activity at an institution. The systems provide a common approach to organising data such that they can be used for many purposes, including support for evaluation of research, support for research assessment, compliance management and to assist in the promotion and access to the outcomes of research. CRIS also aim to provide a ‘one stop shop’ of information used for staff CVs and other researcher profiles.
This webinar will provide a brief and general overview of a CRIS and describe how such a system is being used at the University of Edinburgh.
Relationship Building and Advocacy Across the CampusUCD Library
Presentation given by Julia Barrett, Research Services Manager at University College Dublin Library, to the ANLTC Seminar: Supporting the Activities of Your Research Community - Issues and Initiatives, held on December 3, 2014 at the Royal Irish Academy, Dublin, Ireland.
Open Data Initiatives – Empowering Students to Make More Informed Choices? - ...Terminalfour
Are the developments in the HEFCE and JISC XCRI XML standards finally giving students the information they need to compare one university against the other? By standardising the output of content about courses, results and post graduation success in the job market, are students better positioned to evaluate the right University for them. This presentation will answer this question and discuss how universities can utilize Web Content Management to deliver on the demands of these standards and maximise student engagement.
XSEDE is a major research infrastructure with collaborations worldwide supporting thousands of researchers across a wide range of domains. XSEDE has taken an integrative and holistic approach to supporting researchers in the use of the varying resources and services available via XSEDE. This presentation will briefly review XSEDE and its vision and provide a discussion of the efforts within XSEDE targeted at supporting research communities.
Birgit Plietzsch “RDM within research computing support” SALCTG June 2013SALCTG
An overview of Research Data Management: the research process from developing ideas to preservation of data; funder perspectives, the impact on the wider service, Data Asset Frameworks, preservation and access, and cost implications.
Open data in ubi systems research data management plan (part 4)Heli Väätäjä
This slideset motivates to creating a data management plan and gives initial advice. Slides are from the seminar on Open Data in Ubiquitous Systems Research aimed for doctoral students in HCI and CS.
Research information management: making sense of it allDigital Science
"Research information management: making sense of it all" - Julia Hawks, VP North America, Symplectic
Slides from Shaking It Up: Challenges and Solutions in Scholarly Information Management, San Francisco, April 22, 2015
Exploration of large and complex data estates to gain an accurate understanding of the data structures and data quality.
Presentation given by Ontology Systems and BSkyB at SemTechBiz - The Semantic Technology & Business Conference on October 2nd 2013
Optimising benefits from Canadian Research - Jim WoodgettCASRAI
Janet Halliwell, Chair CASRAI; Co-Chair Admin Burden Canada collective; Chair CSPC
Dominique Bérubé, Vice-President Research Programs, SSHRC
Jim Woodgett, Director of Research, Lunenfeld-Tanenbaum Research Institute
Optimising benefits from Canadian Research - Janet HalliwellCASRAI
Janet Halliwell, Chair CASRAI; Co-Chair Admin Burden Canada collective; Chair CSPC
Dominique Bérubé, Vice-President Research Programs, SSHRC
Jim Woodgett, Director of Research, Lunenfeld-Tanenbaum Research Institute
Admin Burden in Canada (ABC) Introductory Panel Discussion (CA, UK and US ove...CASRAI
Admin Burden in Canada (ABC) Introductory Panel Discussion (CA, UK and US overview)
David Robinson
Executive Vice Provost & Professor
Oregon Health & Science University (US)
ABC Project 1 - Piloting Auto-upload of Standardized Funding Award Results - ...CASRAI
ABC Project 1 - Piloting Auto-upload of Standardized Funding Award Results
Judith L. Chadwick
Assistant Vice-President, Research Services
University of Toronto
Bob Dirstein
Dirstein Consulting Inc.
w/University of Toronto
ABC Project 2 - Launching an ORCID Consortia in Canada - Clare Appavoo & Geof...CASRAI
Launching an ORCID Consortia in Canada
Clare Appavoo
Executive Director
Canadian Research Knowledge Network (CRKN)
Geoffrey Harder
Associate University Librarian
University of Alberta
Mark Leggott
Executive Director
Research Data Canada (RDC)
Introduction to the Federal Demonstration Partnership (FDP) of the US - David...CASRAI
Introduction to the Federal Demonstration Partnership (FDP) of the US
David Robinson
Executive Vice Provost & Professor
Oregon Health & Science University (US)
Tutorial: the new Portage Research Data Management Planning Tool - Chuck Hump...CASRAI
Tutorial: the new Portage Research Data Management Planning Tool
Chuck Humphrey
Director, Portage Network
University of Alberta
Dylanne Dearborn
Physics Library
University of Toronto Libraries
How Do I Know Thee? Let Me Count the Ways: Panel 2: Jeffrey Alexander & Patri...CASRAI
All R&D organizations classify their research activities, either implicitly (e.g., by laboratory or department) or explicitly (e.g., by creating taxonomies to define and map research disciplines and domains). However the lack of clear standards for doing so impedes the sharing and aggregation of data on R&D activities. In this panel the speakers will provide an overview of the organizational needs driving the development of a classification of R&D activities, use cases for such a classification, and the potential advantages of international coordination across such classifications.
Classifying R&D: Why and How Organizations Develop Taxonomies for Research Fi...CASRAI
All R&D organizations classify their research activities, either implicitly (e.g., by laboratory or department) or explicitly (e.g., by creating taxonomies to define and map research disciplines and domains). However the lack of clear standards for doing so impedes the sharing and aggregation of data on R&D activities. In this workshop, Jeff Alexander and Patrick Lambe will provide an overview of the organizational needs driving the development of a classification of R&D activities, use cases for such a classification, and the potential advantages of international coordination across such classifications. The workshop, based heavily on a study they conducted for the National Center for Science & Engineering Statistics at the U.S. National Science Foundation, will review alternate approaches to both developing R&D classifications, and streamlining the process of classifying research programs and projects. Topics to be covered include examples of international R&D classifications and their development (such as the Australia-New Zealand Standard Research Classification), design principles for R&D classifications, and new automated and semi-automated classification techniques using semantic analysis and machine learning.
How Do I Know Thee? Let Me Count the Ways: Sarah Moreault, Monica Valsangkar-...CASRAI
Classification of research plays an integral role in the functioning of research funding organizations. As such it is important to have a classification system for efficient research data collection, use, analysis and reporting. Hear about lessons learned as well as key limitations and challenges for the implementation of a standard approach to classification through the analyses of different international standards currently in use with respect to their governance, development, implementation and maintenance
Over the past 10 years, research systems have evolved from systems that focused on how to structure and record information on research, to systems capable of allowing significant insights to be derived based upon years of high quality information. In 2015, the maturity of the information now collected within many Current Research Information Systems, and the insights that this can provide is of equal or greater value than the insights that could be gleaned from established externally provided research metrics platforms alone. The ability to intersect these external and internal worlds provides new levels of strategic insight not previously available. With the addition of platforms that track altmetrics, and their ability to connect university publications data with a constant flow of real time attention level metrics, an image of a dynamic network of systems emerges, connected together by ever turning ‘cogs’ pushing and translating information. Add to this, the success of ORCID as pervasive researcher identifier infrastructure, and CASRAI as the emerging social contract for information exchange, and it becomes possible to extend this network back from the systems that track and record research information, through to the platforms through which research knowledge is created. The ‘Mechanics’ of this network of systems is more than just getting the ‘plumbing’ right. As research information moves through the network, its audience and purpose changes, the requirements for contextual metadata can also change. This presentation will explore the lived experience of Research Data Mechanics at Digital Science though illustrating how connections between Figshare, Altmetric, Symplectic Elements, and Dimensions can both enhance research system capability and reduce the burden on researchers, and research administration.
Lightning Reports on 2015 CASRAI Standards Work: Data Management PlanCASRAI
Get an overview of all CASRAI standards projects from the past year delivered by the project leads. Includes Project CRediT, Peer Review Citations, Snowball Metrics, Data Management Plans, Open Access Reporting and Organizational ID standards.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
1. CV submissions: Cost-Effective Data Flows
for Institutions and Funders
INTELLECTUAL PROPERTY & SCIENCE BUSINESS
DR. THORSTEN HOELLRIGL,
HEAD OF TECHNOLOGY, CRIS
2. Vision
• Cost-effective communication of CV data
• Bridging different portals and initiatives
• Reducing effort for:
– Gaining domain knowledge
– Data input
– Research information management
– Support
3. Advantages for Researchers
• Collect once, use many times
• Seamless process for submitting to different
funders
– No worries about information required by the respective
funder
– No worries about the concrete format required by the
respective funder
– No worries about the different systems/websites
• No use for researcher to leave local system
• Significant decrease in time and effort
4. Advantages for Funders
• Improved data quality
• Reduction in support effort
• Reduction in educating users
• Reduced technical issues
– less traffic
– no performance issues near deadlines
• Benefit from best practices from other initiatives
• CV portal can focus on additional services
5. Building blocks for a seamless
cross-institutional workflow
• Systems to collect and exchange required
information
– Research Institution
– Funder / Publisher
– Third parties (e.g. content providers)
• Dictionaries for understanding the information
• Technical format and protocols for communication
• Bottom line:
– Technology is ready
– Many, many, many initiatives going on, but…
– Use cases are fragmented / not yet strong enough
6.
7.
8. CASRAI CV
• Common, extensible model and format for
expressing CV in different systems
• Portable, exchangeable CV variants (Student CV,
Abridged CV, Non-Academic CV)
+ Flexibility
+ Business-case driven
+ Focused
+ National variations