"The task-centric revolution. Weaving information into workflows." Systems should be centered around tasks, not applications. This talk will present ideas and techniques towards the design of task-centric systems.
Slides | Research data literacy and the libraryColleen DeLory
Slides from the Dec. 8, 2016 Library Connect webinar "Research data literacy and the library" with Sarah Wright, Christian Lauersen and Anita de Waard. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=226043
Slides | Targeting the librarian’s role in research servicesLibrary_Connect
Slides from the Nov. 8, 2016 Library Connect webinar "Targeting the librarian’s role in research services" with Nina Exner, Amanda Horsman and Mark Reed. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=223121
A brief and simplified introduction to the ACRL Frameworks & Standards for Information Literacy to improve student learning in Higher Education classrooms.
TOWARDS A MULTI-FEATURE ENABLED APPROACH FOR OPTIMIZED EXPERT SEEKINGcsandit
With the enormous growth of data, retrieving information from the Web became more desirable
and even more challenging because of the Big Data issues (e.g. noise, corruption, bad
quality…etc.). Expert seeking, defined as returning a ranked list of expert researchers given a
topic, has been a real concern in the last 15 years. This kind of task comes in handy when
building scientific committees, requiring to identify the scholars’ experience to assign them the
most suitable roles in addition to other factors as well. Due to the fact the Web is drowning with
plenty of data, this opens up the opportunity to collect different kinds of expertise evidence. In
this paper, we propose an expert seeking approach with specifying the most desirable features
(i.e. criteria on which researcher’s evaluation is done) along with their estimation techniques.
We utilized some machine learning techniques in our system and we aim at verifying the
effectiveness of incorporating influential features that go beyond publications
This presentation was provided by Heidi Nance of The Ivy Plus Libraries Confederation, during Session Six of the NISO event "Assessment Practices and Metrics for the 21st Century," held on December 6, 2019.
Reputation Management for Early Career ResearchersMicah Altman
In the rapidly changing world of research and scholarly communications, researchers are faced with a fast growing range of options to publicly disseminate, review, and discuss research—options which will affect their long-term reputation. Early career scholars must be especially thoughtful in choosing how much effort to invest in dissemination and communication, and what strategies to use.
Dr. Micah Altman briefly reviews a number of bibliometric and scientometric studies of quantitative research impact, a sampling of influential qualitative writings advising this area, and an environmental scan of emerging researcher profile systems. Based on this review, and on professional experience on dozens of review panels, Dr. Altman suggests some steps early career researchers may consider when disseminating their research and participating in public reviews and discussion.
Slides | Research data literacy and the libraryColleen DeLory
Slides from the Dec. 8, 2016 Library Connect webinar "Research data literacy and the library" with Sarah Wright, Christian Lauersen and Anita de Waard. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=226043
Slides | Targeting the librarian’s role in research servicesLibrary_Connect
Slides from the Nov. 8, 2016 Library Connect webinar "Targeting the librarian’s role in research services" with Nina Exner, Amanda Horsman and Mark Reed. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=223121
A brief and simplified introduction to the ACRL Frameworks & Standards for Information Literacy to improve student learning in Higher Education classrooms.
TOWARDS A MULTI-FEATURE ENABLED APPROACH FOR OPTIMIZED EXPERT SEEKINGcsandit
With the enormous growth of data, retrieving information from the Web became more desirable
and even more challenging because of the Big Data issues (e.g. noise, corruption, bad
quality…etc.). Expert seeking, defined as returning a ranked list of expert researchers given a
topic, has been a real concern in the last 15 years. This kind of task comes in handy when
building scientific committees, requiring to identify the scholars’ experience to assign them the
most suitable roles in addition to other factors as well. Due to the fact the Web is drowning with
plenty of data, this opens up the opportunity to collect different kinds of expertise evidence. In
this paper, we propose an expert seeking approach with specifying the most desirable features
(i.e. criteria on which researcher’s evaluation is done) along with their estimation techniques.
We utilized some machine learning techniques in our system and we aim at verifying the
effectiveness of incorporating influential features that go beyond publications
This presentation was provided by Heidi Nance of The Ivy Plus Libraries Confederation, during Session Six of the NISO event "Assessment Practices and Metrics for the 21st Century," held on December 6, 2019.
Reputation Management for Early Career ResearchersMicah Altman
In the rapidly changing world of research and scholarly communications, researchers are faced with a fast growing range of options to publicly disseminate, review, and discuss research—options which will affect their long-term reputation. Early career scholars must be especially thoughtful in choosing how much effort to invest in dissemination and communication, and what strategies to use.
Dr. Micah Altman briefly reviews a number of bibliometric and scientometric studies of quantitative research impact, a sampling of influential qualitative writings advising this area, and an environmental scan of emerging researcher profile systems. Based on this review, and on professional experience on dozens of review panels, Dr. Altman suggests some steps early career researchers may consider when disseminating their research and participating in public reviews and discussion.
Summaries of Workshops held at IJCAI 2016 at New York in JulyBiplav Srivastava
IJCAI is the premier AI conference. The workshops represent some of the cutting-edge topics related to AI theory and practice. See details at: http://ijcai-16.org/index.php/welcome/view/accepted_workshops
Mapping a path to the empowered searcherSheila Webber
I have uploaded this older paper about using mindmapping whilst teaching searching, as the ideas are still current, and the article is difficult to get hold of. This was presented at the Online 2002 meeting, and has been published formally as:
Webber, S. (2002) “Mapping a path to the empowered searcher.” In: Graham, C. (Ed) Online Information
2002: Proceedings: 3-5 December 2002. Oxford: Learned Information Europe. 177-181.
This copy was produced from the author’s original file.
This presentation was provided by Elliot Felix of Brightspot, during the NISO training series "Assessment Practices and Metrics for the 21st Century (Session One)," held on October 25, 2019.
With big data research all the rage, how are librarians being asked to engage with data? As big data research takes off across Business, Science, and the Humanities, librarians need to understand big data and the issues around its storage and curation. How can it be made accessible? What tools and resources are required to use and analyze big data? In this webinar, panelists Caroline Muglia and Jill Parchuck share how big data is being used on their campuses and how they, as librarians, are supporting the sourcing and storage of this data.
Understanding ICPSR - An Orientation and Tours of ICPSR Data Services and Edu...ICPSR
This is ICPSR's core workshop deck designed to introduce, remind, and refresh your knowledge of ICPSR. It contains four "tours" or sub-presentations describing ICPSR's general reason for being, it's social and behavioral research data complete with search strategies, its training, educational, and instructional resources, and its data management and curation services, data repository options, and support resources (content and budget estimates) for those writing grant proposals.
Instructional Data Sets from Q-step Launch Event (Univ of Exeter) 3-20-2014ICPSR
Presentation about using social science data in the classroom and creating (and finding) resources with which to do it. Addresses both substantive courses and research methods/statistics courses.
Agencies such as the NSF and NIH require data management plans as part of research proposals and the Office of Science and Technology Policy (OSTP) is requiring federal agencies to develop plans to increase public access to results of federally funded scientific research. These slides explore sustainable data sharing models, including models for sharing restricted-use data. Demos of these models and tips for accessing public data access services are provided as well as resources for creating data management plans for grant applications.
Leveraging Flat Files from the Canvas LMS Data Portal at K-StateShalin Hai-Jew
A lot of data are created in an LMS instance, and much of this can be analyzed for insight. In 2016, Instructure, the makers of Canvas, made their LMS data available to their customers through a data portal (updated monthly). This portal enables access to a number of flat files related to that particular instance. This presentation showcases how this big data was analyzed on a regular laptop with basic office software, to summarize Kansas State University’s use of the LMS. Methods for analysis include the following: basic descriptive statistics, survival analysis, computational linguistic analysis, and others.
The results are reported out with both numbers and data visualizations, including classic pie charts, line graphs, bar charts, mixed-charts, word clouds, and others. The findings provide some insights about how to approach the data, how to use a data dictionary, and other methods for extracting the data for awareness and practical decision-making. This work also is suggestive of next steps for more advanced analysis (using the flat files in a SQL database).
More information about this may be accessed at http://scalar.usc.edu/works/c2c-digital-magazine-spring--summer-2017/wrangling-big-data-in-a-small-tech-ecosystem.
There are many online and in-person courses available for librarians to learn about research data management, data analysis, and visualization, but after you have taken a course, how do you go about applying what you have learned? While it is possible to just start offering classes and consultations, your service will have a better chance of becoming relevant if you consider stakeholders and review your institutional environment. This lecture will give you some ideas to get started with data services at your institution.
Meeting Federal Research Requirements for Data Management Plans, Public Acces...ICPSR
These slides cover evolving federal research requirements for sharing scientific data. Provided are updates on federal agency responses to the 2013 OSTP memo, guidance on data management plans, resources for data management and curation training for staff/researchers, and tips for evaluating public data-sharing services. ICPSR's public data-sharing service, openICPSR, is also presented. Recording of this presentation is here: https://www.youtube.com/watch?v=2_erMkASSv4&feature=youtu.be
Summaries of Workshops held at IJCAI 2016 at New York in JulyBiplav Srivastava
IJCAI is the premier AI conference. The workshops represent some of the cutting-edge topics related to AI theory and practice. See details at: http://ijcai-16.org/index.php/welcome/view/accepted_workshops
Mapping a path to the empowered searcherSheila Webber
I have uploaded this older paper about using mindmapping whilst teaching searching, as the ideas are still current, and the article is difficult to get hold of. This was presented at the Online 2002 meeting, and has been published formally as:
Webber, S. (2002) “Mapping a path to the empowered searcher.” In: Graham, C. (Ed) Online Information
2002: Proceedings: 3-5 December 2002. Oxford: Learned Information Europe. 177-181.
This copy was produced from the author’s original file.
This presentation was provided by Elliot Felix of Brightspot, during the NISO training series "Assessment Practices and Metrics for the 21st Century (Session One)," held on October 25, 2019.
With big data research all the rage, how are librarians being asked to engage with data? As big data research takes off across Business, Science, and the Humanities, librarians need to understand big data and the issues around its storage and curation. How can it be made accessible? What tools and resources are required to use and analyze big data? In this webinar, panelists Caroline Muglia and Jill Parchuck share how big data is being used on their campuses and how they, as librarians, are supporting the sourcing and storage of this data.
Understanding ICPSR - An Orientation and Tours of ICPSR Data Services and Edu...ICPSR
This is ICPSR's core workshop deck designed to introduce, remind, and refresh your knowledge of ICPSR. It contains four "tours" or sub-presentations describing ICPSR's general reason for being, it's social and behavioral research data complete with search strategies, its training, educational, and instructional resources, and its data management and curation services, data repository options, and support resources (content and budget estimates) for those writing grant proposals.
Instructional Data Sets from Q-step Launch Event (Univ of Exeter) 3-20-2014ICPSR
Presentation about using social science data in the classroom and creating (and finding) resources with which to do it. Addresses both substantive courses and research methods/statistics courses.
Agencies such as the NSF and NIH require data management plans as part of research proposals and the Office of Science and Technology Policy (OSTP) is requiring federal agencies to develop plans to increase public access to results of federally funded scientific research. These slides explore sustainable data sharing models, including models for sharing restricted-use data. Demos of these models and tips for accessing public data access services are provided as well as resources for creating data management plans for grant applications.
Leveraging Flat Files from the Canvas LMS Data Portal at K-StateShalin Hai-Jew
A lot of data are created in an LMS instance, and much of this can be analyzed for insight. In 2016, Instructure, the makers of Canvas, made their LMS data available to their customers through a data portal (updated monthly). This portal enables access to a number of flat files related to that particular instance. This presentation showcases how this big data was analyzed on a regular laptop with basic office software, to summarize Kansas State University’s use of the LMS. Methods for analysis include the following: basic descriptive statistics, survival analysis, computational linguistic analysis, and others.
The results are reported out with both numbers and data visualizations, including classic pie charts, line graphs, bar charts, mixed-charts, word clouds, and others. The findings provide some insights about how to approach the data, how to use a data dictionary, and other methods for extracting the data for awareness and practical decision-making. This work also is suggestive of next steps for more advanced analysis (using the flat files in a SQL database).
More information about this may be accessed at http://scalar.usc.edu/works/c2c-digital-magazine-spring--summer-2017/wrangling-big-data-in-a-small-tech-ecosystem.
There are many online and in-person courses available for librarians to learn about research data management, data analysis, and visualization, but after you have taken a course, how do you go about applying what you have learned? While it is possible to just start offering classes and consultations, your service will have a better chance of becoming relevant if you consider stakeholders and review your institutional environment. This lecture will give you some ideas to get started with data services at your institution.
Meeting Federal Research Requirements for Data Management Plans, Public Acces...ICPSR
These slides cover evolving federal research requirements for sharing scientific data. Provided are updates on federal agency responses to the 2013 OSTP memo, guidance on data management plans, resources for data management and curation training for staff/researchers, and tips for evaluating public data-sharing services. ICPSR's public data-sharing service, openICPSR, is also presented. Recording of this presentation is here: https://www.youtube.com/watch?v=2_erMkASSv4&feature=youtu.be
Misinformation is rampant on Twitter. As a grad school project, I've proposed to create a Twitter literacy instructional presentation. What do you think? I'd love some feedback.
Select pages from a 62-page, follow up market research study Mountain Stream Group conducted to determine a.) the size of the control valve market as it relates to positioning and proportional control, b.) who the players are, and c.) what the opportunities and challenges a new company might find.
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
Study: The Future of VR, AR and Self-Driving CarsLinkedIn
We asked LinkedIn members worldwide about their levels of interest in the latest wave of technology: whether they’re using wearables, and whether they intend to buy self-driving cars and VR headsets as they become available. We asked them too about their attitudes to technology and to the growing role of Artificial Intelligence (AI) in the devices that they use. The answers were fascinating – and in many cases, surprising.
This SlideShare explores the full results of this study, including detailed market-by-market breakdowns of intention levels for each technology – and how attitudes change with age, location and seniority level. If you’re marketing a tech brand – or planning to use VR and wearables to reach a professional audience – then these are insights you won’t want to miss.
Taking evidence-based professional learning conversations online: Implicatio...mddhani
Presented in one of the parallel sessions during the 15th International Conference on Education 2010 at Universiti Brunei Darussalam.
Presenter/courtesy of Michael Moroney, Lecturer, Universiti Brunei Darussalam.
Presented in one of the parallel sessions during the 15th International Conference on Education 2010 at Universiti Brunei Darussalam.
Presenter/courtesy of Michael Moroney, Lecturer, Universiti Brunei Darussalam.
Bridging the missing middle for al_tversionfinal_14_08_2014debbieholley1
Presentation to ALT-C 2014
Taking innovation from concept through to scalable delivery is complex, contested and under-theorised process. This report aims to capture the current major themes underpinning scaling, and apply these to the context of the Learning Layers project. An external review of our early ‘Design Research framework for scaling’ has highlighted that the approach is too linear and may rely too heavily on the diffusion of innovation paradigm originally proposed by Everett Rogers in the 1960s, which is less appropriate for scaling innovations in our project. Rather, we start out from design-based research principles where co-design with the users is producing both theories and practical educational interventions as outcomes of the process. This is a robust and appropriate approach suitable for addressing complex problems in educational practice for which no clear guidelines or solutions are available. We suggest that it is therefore also appropriate for multi-faceted and complex research projects such as Learning Layers.
Presented to begin a conversation starter program at The Innovative Library Conference (TILC) 2015. Program abstract: Join your colleagues for a Conversation Starter and explore ways to apply the proposed ACRL Framework for Information Literacy for Higher Education in course support. The proposed framework moves away from prescriptive, task-specific itemization towards a conceptual approach anchored by 6 threshold concepts: Authority Is Constructed and Contextual, Information Creation as a Process, Information Has Value, Research as Inquiry, Scholarship as Conversation, and Searching as Strategic Exploration. A key element of the framework is its emphasis on implementing assignments and instructional techniques that use these threshold concepts to promote students' critical self-reflection and self-directed exploration and engagement with the information ecosystem. This session will include small and large group discussion.
Action research is a philosophy and methodology of research generally applied in the social sciences. It seeks trasformative change through the simultaneous process of taking action and doing research which are linked together by critical reflection
Overview of C-SAP open educational resources projectCSAPOER
This presentation showcases, discusses and reflects upon the work of the C-SAP "Open Educational Resources" project. Our project, "Evaluating the Practice of Opening up Resources for Learning and Teaching in the Social Sciences", was part of a pilot programme (funded by the HEA and JISC), which sought to explore issues around the sharing of educational material from a disciplinary perspective. Whilst exploring, with our academic project partners, the principles and issues around releasing educational material (institutional, contractual, administrative), we have also sought to develop some insights into the processes of sharing practice, and look forward to discussing the findings in this forum.
Collaborative Learning of Organisational KnolwedgeWaqas Tariq
This paper presents recent research into methods used in Australian Indigenous Knowledge sharing and looks at how these can support the creation of suitable collaborative envi- ronments for timely organisational learning. The protocols and practices as used today and in the past by Indigenous communities are presented and discussed in relation to their relevance to a personalised system of knowledge sharing in modern organisational cultures. This research focuses on user models, knowledge acquisition and integration of data for constructivist learning in a networked repository of or- ganisational knowledge. The data collected in the repository is searched to provide collections of up-to-date and relevant material for training in a work environment. The aim is to improve knowledge collection and sharing in a team envi- ronment. This knowledge can then be collated into a story or workflow that represents the present knowledge in the organisation.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Unit 8 - Information and Communication Technology (Paper I).pdf
Professor Dagobert Soergel's talk (2009 CISTA Award Recipient): Task-centric revolution
1. The task-centric revolution. Weaving information into workflows Dagobert Soergel College of Information Studies ASIST 2008
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5. Ontology S. Search History / PIM Task-oriented processing History-aware personal information store. Planning Ontology Support Functional Integration Collaboration Search Sense-making Processing History / PIM Ontology S. Sense-making Sense-making Processing Search Collaborator User in focus Collaborator
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7. The digital library of the future: A look at the DELOS vision DELOS Network of Excellence in Digital Libraries Now the DELOS association Funded by the EU, >50 DL research groups as members
42. Sample Think-aloud Protocol with Coding Protocol (Energy Security Task) Loops Processes Conceptual Changes Cognitive Mechanisms Okay that was actually a very useful search. So let’s still take this query and look at Algeria, ‘cause obviously Algeria and Nigeria are very close… Loop 4 Focused Search for data Comparison I understand some of the keywords in the article but I don’t understand what the article… Sense-making Failure Key item extraction Okay this has to do with Algeria, southern Algeria. The minister of energy… OPEC meeting… so I am going to see what their connections are with OPEC. Building structures Key item extraction … with all the violence in Nigeria, I was expecting to find the same types of political outrage in Algeria… Instantiating structures Comparison and analogy and I’m not seeing any notice of that at all. Updating of knowledge Re-structuring
43. Example Concepts and Relationships Concepts/Entity Relationships in new information Relationship in existing knowledge Nigeria ( entity ) Political violence ( concept ) Nigeria <hasSituation> Political violence Algeria Algeria <is very close to> Nigeria Algeria <hasSituation> Political violence ? Political stability Algeria <hasSituation> Political stability Nigeria <hasSituation> Political violence The minister of energy OPEC meeting Nigeria <hasRelationshipTo> OPEC ? …
49. An Iterative Sense-making Model Data gap Structure gap Search: exploratory / focused Outcomes Updated knowledge Structure loop Data loop Identification of Gaps Searching for data Instantiating structure Accretion: Instantiated structure Tuning: Adapted structure Re-structuring: New structure Searching for structure Building structure Existing Knowledge Structures and their instantiations with data The iterations proceed from exploratory to focused search and sense-making. Task / Problem Decision / Solution / Task completion
77. Data Analysis – Coding Scheme A Processes (from the model) Search Sense-making Exploratory search Exploratory search for data Exploratory search for structure Focused search Focused search for data Focused search for structure Gap identification Data gap Structural gap Building structures Using automatically extracted results Extracting relationships manually Instantiating structures Updating knowledge B Conceptual Changes (from the model) Sense-making success Sense-making failure Accretion Unable to fit data into structure Tuning Re-structuring Unable to build new structure
78. Data Analysis – Coding Scheme C Cognitive Mechanisms (from the model) Inductive mechanisms Deductive mechanisms Other Key item extraction Comparison Similarity Differentiation Schema induction Generalization Definition Specification Explanation-based Elimination Inference Analogy and metaphor Classification Socratic dialogues Semantic fit D Emerging Codes Added During Analysis Reasons starting a new loop Resolution of conflicts New lead Disregard conflicting evidence Sense-making success Compromise Sense-making failure Accept new evidence Search failure Confusion
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