The MESUR project is a scientific study of science itself using real-time indicators derived from large-scale usage data. It has collected over 1 billion usage events from major publishers and aims to map scientific activity, survey novel impact metrics, and develop network models of science. Initial funding was provided by the Andrew W. Mellon Foundation from 2006-2008, with ongoing funding from the NSF through 2012 to continue data collection and research at Indiana University.
Analytics Collaboration Session at Sakai 2011Steven Lonn
Academic Analytics is a hot topic in Higher Education. Institutions are seeking to use analytics to understand student success and academic performance, maximize retention. Increasingly, regulatory and accreditation bodies require this information to help measure effectiveness. This block session will report on a number of analytics initiatives within the Sakai Community, and higher education generally. Opportunities will be provided to interact with individual presenters, and to synthesise information available across the session.
A Global Commons for Scientific Data: Molecules and Wikidatapetermurrayrust
Methods for extracting facts from the scientific literature, and linking them to Wikidata IDs. Wikidata is introduced by an architectural example and bioscience. Then we explore how data can be extracted from text and from images
Learning Analytics: More Than Data-Driven DecisionsSteven Lonn
An overview of learning analytics as well as recent examples from higher education and current projects underway at the University of Michigan.
From The Horizon Report, 2011:
"Learning analytics promises to harness the power of advances in data mining, interpretation, and modeling to improve understandings of teaching and learning, and to tailor education to individual students more effectively. Still in its early stages, learning analytics responds to calls for accountability on campuses across the country, and leverages the vast amount of data produced by students in day-to-day academic activities. While learning analytics has already been used in admissions and fund-raising efforts on several campuses, “academic analytics” is just beginning to take shape."
Analytics Collaboration Session at Sakai 2011Steven Lonn
Academic Analytics is a hot topic in Higher Education. Institutions are seeking to use analytics to understand student success and academic performance, maximize retention. Increasingly, regulatory and accreditation bodies require this information to help measure effectiveness. This block session will report on a number of analytics initiatives within the Sakai Community, and higher education generally. Opportunities will be provided to interact with individual presenters, and to synthesise information available across the session.
A Global Commons for Scientific Data: Molecules and Wikidatapetermurrayrust
Methods for extracting facts from the scientific literature, and linking them to Wikidata IDs. Wikidata is introduced by an architectural example and bioscience. Then we explore how data can be extracted from text and from images
Learning Analytics: More Than Data-Driven DecisionsSteven Lonn
An overview of learning analytics as well as recent examples from higher education and current projects underway at the University of Michigan.
From The Horizon Report, 2011:
"Learning analytics promises to harness the power of advances in data mining, interpretation, and modeling to improve understandings of teaching and learning, and to tailor education to individual students more effectively. Still in its early stages, learning analytics responds to calls for accountability on campuses across the country, and leverages the vast amount of data produced by students in day-to-day academic activities. While learning analytics has already been used in admissions and fund-raising efforts on several campuses, “academic analytics” is just beginning to take shape."
A presentation given by Manjula Patel (UKOLN) at the Repository Curation Environments (RECURSE) Workshop held at the 4th International Digital Curation Conference, Edinburgh, 1st December 2008,
http://www.dcc.ac.uk/events/dcc-2008/programme/
Scott Edmunds slides for class 8 from the HKU Data Curation (module MLIM7350 from the Faculty of Education) course covering science data, medical data and ethics, and the FAIR data principles.
Data Facilities Workshop - Panel on Current Concepts in Data Sharing & Intero...EarthCube
This series of presentations was given at the EarthCube Data Facilities End-User Workshop held January 15-17, 2014 in Washington, DC. This workshop provided a forum to discuss the unique requirements and challenges associated with developing the communication, collaboration, interoperability, and governance structures that will be required to build EarthCube in conjunction with existing and emerging NSF/GEO facilities.
This panel and discussion, specifically, outlined and explained several current concepts in data sharing and interoperability, featuring presentations by:
Paul Morin (UMN): Polar Cyberinfrastructure
Don Middleton (UCAR): Atmospheric/Climate
Kerstin Lehnert (LDEO): Domain Repositories & Physical Samples
David Schindel (CBOL, GRBio): Biological Perspective & Collections
Hank Leoscher (NEON): Observation Networks
Daniel Fuka (Virginia Tech) and Ruth Duerr (NSIDC): Brokering
Ilya Zaslavsky (UCSD): Cross-Domain Interoperability
An Overview of the iMicrobe Project and available tools in the iPlant Cyberinfrastructure. This talk was given at a workshop at ASLO in Granada, Spain focused on applications in Oceanography and Limnology.
Keynote speech - Carole Goble - Jisc Digital Festival 2015Jisc
Carole Goble is a professor in the school of computer science at the University of Manchester.
In this keynote, Carole offered her insights into research data management and data centres.
RARE and FAIR Science: Reproducibility and Research ObjectsCarole Goble
Keynote at JISC Digifest 2015 on Reproducibility and Research Objects in Scholarly Communication
Includes hidden slides
All material except maybe the IT Crowd screengrab reusable
Being FAIR: FAIR data and model management SSBSS 2017 Summer SchoolCarole Goble
Lecture 1:
Being FAIR: FAIR data and model management
In recent years we have seen a change in expectations for the management of all the outcomes of research – that is the “assets” of data, models, codes, SOPs, workflows. The “FAIR” (Findable, Accessible, Interoperable, Reusable) Guiding Principles for scientific data management and stewardship [1] have proved to be an effective rallying-cry. Funding agencies expect data (and increasingly software) management retention and access plans. Journals are raising their expectations of the availability of data and codes for pre- and post- publication. The multi-component, multi-disciplinary nature of Systems and Synthetic Biology demands the interlinking and exchange of assets and the systematic recording of metadata for their interpretation.
Our FAIRDOM project (http://www.fair-dom.org) supports Systems Biology research projects with their research data, methods and model management, with an emphasis on standards smuggled in by stealth and sensitivity to asset sharing and credit anxiety. The FAIRDOM Platform has been installed by over 30 labs or projects. Our public, centrally hosted Asset Commons, the FAIRDOMHub.org, supports the outcomes of 50+ projects.
Now established as a grassroots association, FAIRDOM has over 8 years of experience of practical asset sharing and data infrastructure at the researcher coal-face ranging across European programmes (SysMO and ERASysAPP ERANets), national initiatives (Germany's de.NBI and Systems Medicine of the Liver; Norway's Digital Life) and European Research Infrastructures (ISBE) as well as in PI's labs and Centres such as the SynBioChem Centre at Manchester.
In this talk I will show explore how FAIRDOM has been designed to support Systems Biology projects and show examples of its configuration and use. I will also explore the technical and social challenges we face.
I will also refer to European efforts to support public archives for the life sciences. ELIXIR (http:// http://www.elixir-europe.org/) the European Research Infrastructure of 21 national nodes and a hub funded by national agreements to coordinate and sustain key data repositories and archives for the Life Science community, improve access to them and related tools, support training and create a platform for dataset interoperability. As the Head of the ELIXIR-UK Node and co-lead of the ELIXIR Interoperability Platform I will show how this work relates to your projects.
[1] Wilkinson et al, The FAIR Guiding Principles for scientific data management and stewardship Scientific Data 3, doi:10.1038/sdata.2016.18
Finding Emerging Topics Using Chaos and Community Detection in Social Media G...Paragon_Science_Inc
In this talk, we describe our recent work in the analysis of Twitter-based network graphs, including the Ebola crisis in 2014 and the stock market in 2015.
Scott Edmunds talk at AIST: Overcoming the Reproducibility Crisis: and why I ...GigaScience, BGI Hong Kong
Scott Edmunds talk at the AIST Computational Biology Research Center in Tokyo: Overcoming the Reproducibility Crisis: and why I stopped worrying a learned to love open data (& methods), July 1st 2014
Capturing Context in Scientific Experiments: Towards Computer-Driven Sciencedgarijo
Scientists publish computational experiments in ways that do not facilitate reproducibility or reuse. Significant domain expertise, time and effort are required to understand scientific experiments and their research outputs. In order to improve this situation, mechanisms are needed to capture the exact details and the context of computational experiments. Only then, Intelligent Systems would be able help researchers understand, discover, link and reuse products of existing research.
In this presentation I will introduce my work and vision towards enabling scientists share, link, curate and reuse their computational experiments and results. In the first part of the talk, I will present my work for capturing and sharing the context of scientific experiments by using scientific workflows and machine readable representations. Thanks to this approach, experiment results are described in an unambiguous manner, have a clear trace of their creation process and include a pointer to the sources used for their generation. In the second part of the talk, I will describe examples on how the context of scientific experiments may be exploited to browse, explore and inspect research results. I will end the talk by presenting new ideas for improving and benefiting from the capture of context of scientific experiments and how to involve scientists in the process of curating and creating abstractions on available research metadata.
Recomendations for infrastructure and incentives for open science, presented to the Research Data Alliance 6th Plenary. Presenter: William Gunn, Director of Scholarly Communications for Mendeley.
Digital Content in Public Libraries: What do Patrons Think? bisg
From the NISO/BISG ALA 10th annual summit which took place in Orlando in June of 2016, this presentation by Publishers Weekly's Andrew Albanese covers the results of a survey conducted by Nielsen of public library patrons' attitudes towards digital and print content in libraries.
What Your Metadata Does When You're Not Looking with Joshua Tallentbisg
Metadata expert Joshua Tallent will rip back the curtain and show you how different trading partners are using your metadata, with real life examples and suggestions for getting better results. He will also provide you with an overview of some industry best practices for the most important metadata elements, and discuss the pros and cons of common metadata workflows and management strategies. Learn what keywords to use in book metadata feeds, which fields to populate, which retailers and libraries are using which fields, and how to optimize your book's metadata for discoverability.
A presentation given by Manjula Patel (UKOLN) at the Repository Curation Environments (RECURSE) Workshop held at the 4th International Digital Curation Conference, Edinburgh, 1st December 2008,
http://www.dcc.ac.uk/events/dcc-2008/programme/
Scott Edmunds slides for class 8 from the HKU Data Curation (module MLIM7350 from the Faculty of Education) course covering science data, medical data and ethics, and the FAIR data principles.
Data Facilities Workshop - Panel on Current Concepts in Data Sharing & Intero...EarthCube
This series of presentations was given at the EarthCube Data Facilities End-User Workshop held January 15-17, 2014 in Washington, DC. This workshop provided a forum to discuss the unique requirements and challenges associated with developing the communication, collaboration, interoperability, and governance structures that will be required to build EarthCube in conjunction with existing and emerging NSF/GEO facilities.
This panel and discussion, specifically, outlined and explained several current concepts in data sharing and interoperability, featuring presentations by:
Paul Morin (UMN): Polar Cyberinfrastructure
Don Middleton (UCAR): Atmospheric/Climate
Kerstin Lehnert (LDEO): Domain Repositories & Physical Samples
David Schindel (CBOL, GRBio): Biological Perspective & Collections
Hank Leoscher (NEON): Observation Networks
Daniel Fuka (Virginia Tech) and Ruth Duerr (NSIDC): Brokering
Ilya Zaslavsky (UCSD): Cross-Domain Interoperability
An Overview of the iMicrobe Project and available tools in the iPlant Cyberinfrastructure. This talk was given at a workshop at ASLO in Granada, Spain focused on applications in Oceanography and Limnology.
Keynote speech - Carole Goble - Jisc Digital Festival 2015Jisc
Carole Goble is a professor in the school of computer science at the University of Manchester.
In this keynote, Carole offered her insights into research data management and data centres.
RARE and FAIR Science: Reproducibility and Research ObjectsCarole Goble
Keynote at JISC Digifest 2015 on Reproducibility and Research Objects in Scholarly Communication
Includes hidden slides
All material except maybe the IT Crowd screengrab reusable
Being FAIR: FAIR data and model management SSBSS 2017 Summer SchoolCarole Goble
Lecture 1:
Being FAIR: FAIR data and model management
In recent years we have seen a change in expectations for the management of all the outcomes of research – that is the “assets” of data, models, codes, SOPs, workflows. The “FAIR” (Findable, Accessible, Interoperable, Reusable) Guiding Principles for scientific data management and stewardship [1] have proved to be an effective rallying-cry. Funding agencies expect data (and increasingly software) management retention and access plans. Journals are raising their expectations of the availability of data and codes for pre- and post- publication. The multi-component, multi-disciplinary nature of Systems and Synthetic Biology demands the interlinking and exchange of assets and the systematic recording of metadata for their interpretation.
Our FAIRDOM project (http://www.fair-dom.org) supports Systems Biology research projects with their research data, methods and model management, with an emphasis on standards smuggled in by stealth and sensitivity to asset sharing and credit anxiety. The FAIRDOM Platform has been installed by over 30 labs or projects. Our public, centrally hosted Asset Commons, the FAIRDOMHub.org, supports the outcomes of 50+ projects.
Now established as a grassroots association, FAIRDOM has over 8 years of experience of practical asset sharing and data infrastructure at the researcher coal-face ranging across European programmes (SysMO and ERASysAPP ERANets), national initiatives (Germany's de.NBI and Systems Medicine of the Liver; Norway's Digital Life) and European Research Infrastructures (ISBE) as well as in PI's labs and Centres such as the SynBioChem Centre at Manchester.
In this talk I will show explore how FAIRDOM has been designed to support Systems Biology projects and show examples of its configuration and use. I will also explore the technical and social challenges we face.
I will also refer to European efforts to support public archives for the life sciences. ELIXIR (http:// http://www.elixir-europe.org/) the European Research Infrastructure of 21 national nodes and a hub funded by national agreements to coordinate and sustain key data repositories and archives for the Life Science community, improve access to them and related tools, support training and create a platform for dataset interoperability. As the Head of the ELIXIR-UK Node and co-lead of the ELIXIR Interoperability Platform I will show how this work relates to your projects.
[1] Wilkinson et al, The FAIR Guiding Principles for scientific data management and stewardship Scientific Data 3, doi:10.1038/sdata.2016.18
Finding Emerging Topics Using Chaos and Community Detection in Social Media G...Paragon_Science_Inc
In this talk, we describe our recent work in the analysis of Twitter-based network graphs, including the Ebola crisis in 2014 and the stock market in 2015.
Scott Edmunds talk at AIST: Overcoming the Reproducibility Crisis: and why I ...GigaScience, BGI Hong Kong
Scott Edmunds talk at the AIST Computational Biology Research Center in Tokyo: Overcoming the Reproducibility Crisis: and why I stopped worrying a learned to love open data (& methods), July 1st 2014
Capturing Context in Scientific Experiments: Towards Computer-Driven Sciencedgarijo
Scientists publish computational experiments in ways that do not facilitate reproducibility or reuse. Significant domain expertise, time and effort are required to understand scientific experiments and their research outputs. In order to improve this situation, mechanisms are needed to capture the exact details and the context of computational experiments. Only then, Intelligent Systems would be able help researchers understand, discover, link and reuse products of existing research.
In this presentation I will introduce my work and vision towards enabling scientists share, link, curate and reuse their computational experiments and results. In the first part of the talk, I will present my work for capturing and sharing the context of scientific experiments by using scientific workflows and machine readable representations. Thanks to this approach, experiment results are described in an unambiguous manner, have a clear trace of their creation process and include a pointer to the sources used for their generation. In the second part of the talk, I will describe examples on how the context of scientific experiments may be exploited to browse, explore and inspect research results. I will end the talk by presenting new ideas for improving and benefiting from the capture of context of scientific experiments and how to involve scientists in the process of curating and creating abstractions on available research metadata.
Recomendations for infrastructure and incentives for open science, presented to the Research Data Alliance 6th Plenary. Presenter: William Gunn, Director of Scholarly Communications for Mendeley.
Digital Content in Public Libraries: What do Patrons Think? bisg
From the NISO/BISG ALA 10th annual summit which took place in Orlando in June of 2016, this presentation by Publishers Weekly's Andrew Albanese covers the results of a survey conducted by Nielsen of public library patrons' attitudes towards digital and print content in libraries.
What Your Metadata Does When You're Not Looking with Joshua Tallentbisg
Metadata expert Joshua Tallent will rip back the curtain and show you how different trading partners are using your metadata, with real life examples and suggestions for getting better results. He will also provide you with an overview of some industry best practices for the most important metadata elements, and discuss the pros and cons of common metadata workflows and management strategies. Learn what keywords to use in book metadata feeds, which fields to populate, which retailers and libraries are using which fields, and how to optimize your book's metadata for discoverability.
Student Attitudes Toward content in Higher Education: Nadine Vassallo, Projec...bisg
New insights based on over 1,600 student responses to the latest survey in BISG's ongoing study tracking the content and tools students say they actually use, points to the increasing role of technology in shaping the future of higher education
The Inclusive Access Model, presented by Jason Lorgan, Stores Director, Unive...bisg
Jason Lorgan's presentation, given at BISG's Higher Ed Conference 2015: Adapt, Learn, Innovate, outlines an innovative new business model pioneered at the campus store at The University of California Davis that addresses student reluctance to embrace digital course material. The program's remarkably promising results for content providers and distributors include improved sell through for stores and publishers and significantly reduced student costs.
Navigating the Transition from ONIX 2.1 to 3.0 bisg
Graham Bell, Executive Director of EDItEUR, focuses on the migration from ONIX 2.1 to ONIX 3.0, detailing the key differences between the two message standards, and the benefits and extra functionality offered by the new format. This presentation will outline the areas of the message where the changes are simple to deal with, and offer advice on those areas of the message where more significant modifications will be required.
ONIX: Migrating from 2.1 to 3.0, presented by Graham Bell, Executive Director...bisg
This presentation was originally give as part of a BISG webcast on October 14, 2014, and then again on November 12, 2014. The webcast focused on the migration from ONIX 2.1 to ONIX 3.0, detailing the key differences between the two message standards, and the benefits and extra functionality offered by the new format. EDItEUR's Graham Bell outlined the areas of the message where the changes are simple to deal with and offered advice on those areas of the message where more significant modifications will be required. This presentation is particularly timely because of the impending sunset of ONIX 2.1 support at the end of 2014.
Product Development for Common Core Standards, presented by Emma Williams, Co...bisg
The second of two presentations given during BISG's webcast "Product Development for Common Core Standards," co-hosted by Patricia Payton (Senior Manager of Publisher Relations and Content Development for Bowker), featuring Ashley Andersen Zantop (Group Publisher and General Manager at Capstone) and Emma Williams (Collection Development Manager at Booksource).
The implementation of Common Core State Standards is changing how teachers and librarians select classroom material, with significant consequences for publishers' product development and marketing programs. The series of three webcasts will help you understand educator needs, provide guidance for developing and marketing content that teachers and librarians will look for, and optimize its discoverability by showing you how to include details of a title's conformance with common core state standards in its metadata.
Emma Williams is the Collection Development Manager at Booksource. She helped develop Booksource's Common Core State Standards book collections and is well-versed in the Language Arts Reading Standards. In addition to her buying and collection duties, Emma edits Booksource's blog, "Booksource Banter," and is part of the social media strategy team. Emma has a B.A. in English from Truman State University and has worked in the book industry for the past eight years.
XBITS 101, a presentation for BISG by Diane Degener, IT Business Analyst & Pr...bisg
XBITS (XML Book Industry Transaction Standards) is a Working Group of IDEAlliance and a BISG committee that is designing and maintaining the standard XML (Extensible Markup Language) eDocuments to facilitate bi-directional electronic data exchanges between a diverse trading partners comprised of book publishers, manufacturers, paper mills, and component suppliers. The XBITS electronic transaction standard is based upon the papiNet Standard which is open, free and easy to adopt, providing common benefits to supply chain partners supporting both traditional and digital print manufacturing.
In this webcast, Diane Degener, Co-Chair of the XBITS Committee, will explain how to best implement the XBITS standard in your business and answer any questions you may have about XBITS best practices.
This 45-minute presentation will be followed by a 15-minute Q&A session.
Thema: The new, global subject classification system- Julie Morris- BISG/NISO...bisg
Presentation at the 8th Annual BISG/NISO Changing Standards Landscape Forum at the American Library Association (ALA) Annual Conference on June 27, 2014 in Las Vegas, NV. Julie Morris (BISG) presenting on Thema: The new, global subject classification scheme for books. Event info (and other event slides) here: http://www.niso.org/news/events/2014/alaannual/2014nisobisgforum/
Best Practices for Keywords in Metadata, with Jenny Bullough, Manager of Digi...bisg
What are keywords, and how can they help you sell more books? As book purchasing and discovery increasingly moves online, judicious use of keywords can help make your book more visible to readers. Learn how to choose and use keywords for your book product metadata – join us for an online webinar where we’ll review the just-published BISG Best Practices for Keywords in Metadata. Join Jenny Bullough, Manager of Digital Assets at Harlequin Press and Chair of BISG's Keywords Working Group, and Julie Morris, BISG's Project Manager of Standards and Best Practices, as they explain why keywords should be used, how to choose the best keywords for your content, what to avoid when making that choice, and some best practices for structuring and updating keywords in ONIX, and more.
BISG Rights Summit June 11, 2014 (Michael Healy, Copyright Clearance Center)bisg
Presentation from Michael Healy, Copyright Clearance Center, at the BISG June 11, 2014 Rights Summit, looking at issues affecting the publishing industry in the management and transmission of rights and rights data.
Diversification, Discovery, and Data: 13 Insights from 13 Years of Safari, pr...bisg
Diversification, Discovery, and Data: 13 Insights from 13 Years of Safari, presented by Andrew Savikas, CEO of Safari Books Online, at Making Information Pay 2014, a track of IDPF's Digital Book 2014, at Book Expo America, on May 29, 2014
Subscription Services in the Context of Market Trends, presented by Jonathan ...bisg
Subscription Services in the Context of Market Trends, presented by Jonathan Stolper, SVP Nielsen Book Americas, at Making Information Pay 2014, a track of IDPF's Digital Book 2014 at Book Expo America, on May 29, 2014
Digital Books and the New Subscription Economy: Preliminary Results from the ...bisg
Digital Books and the New Subscription Economy: Preliminary Results from the BISG Research Study, presented by Ted Hill, President, THA Consulting at Making Information 2014, a track of IDPF's Digital Book 2014 at Book Expo America, May 29, 2014
The International Standard Name Identifier (ISNI): A Close Look, with Laura D...bisg
The International Standard Name Identifier, or ISNI, was created to identify the millions of contributors to creative works and those active in their distribution, including researchers, inventors, writers, artists, visual creators, performers, producers, publishers, aggregators, and more in order to resolve the problem of name ambiguity in search and discovery. Now, Laura Dawson, Product Manager of Identifier Services at Bowker, will show us how ISNI has developed since the standard was first published in 2012. How is it managed? Who receives numbers? What impact has it had on publishing? And how can it be incorporated into current metadata management and distribution?
Metadata: Standards Basics for the Independent Publishing Community, with Gra...bisg
The better your metadata, the better your sales: that's the simple truth. Books with complete metadata sell almost three times better than a book with incomplete metadata, so there's a very good reason to learn about how to format and transmit this information to your industry partners. But where to begin?
In this session, Graham Bell, Chief Data Architect at EDItEUR, will offer practical guidance on writing, formatting, and transmitting metadata in accordance with industry standards and best practices, and help to make your metadata work for you.
This is the third in a three-part series, co-produced by IBPA and hosted by BISG, aimed at demystifying several of the core book industry standards through "101"-style sessions presented by experts in the field.
ISBNs and Identifiers: Standards Basics for the Independent Publishing Commun...bisg
What are identifiers? What purpose do they serve in the book industry?
According to BISG's Best Practices for Identifying Digital Products, an identifier is generally a sequence of alpha-numeric characters that unambiguosly differentiates one thing from another in a particular context.
But while that answer may seem straightforward enough, the fact is there's a lot more to identifiers than one might think.
The book industry employs numerous identifiers for different reasons in its day-to-day operations. This webcast will cover identifiers basics—what they are, how they are developed, and how and why they are used. Special focus will be given to the venerable ISBN and its use in today's digital marketplace, and the difference between the ISBN and proprietary product identifiers.
In this session, Phil Madans, Executive Director Digital Publishing Technology for Hachette Book Group, will discuss how to correctly use identifiers to ensure your books reach the hands of happy readers.
This is the second in a three-part series, co-produced by IBPA and hosted by BISG, aimed at demystifying several of the core book industry standards through "101"-style sessions presented by experts in the field.
Student Attitudes Toward Content in Higher Education, with Nadine Vassallo, P...bisg
The way students learn and instructors teach is undergoing a radical shift, and the role of the traditional print "textbook" as the foundational tool for instruction is changing along with the traditional publishing model. To help shed light on these changes, BISG's Student Attitudes Toward Content in Higher Education survey continues to provide a baseline for tracking the rapid evolution underway in the higher education market. Join Nadine Vassallo, BISG's Project Manager of Research and Information, as she shares data from the most recent volume of Student Attitudes, providing an up-to-the-moment analysis of the current behavioral trends that will inform the development of the higher education industry, and learn more about how Student Attitudes can offer your practical guidance for refining your business strategies in an ever-shifting marketplace.
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
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.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
This presentation provides an introduction to quantitative trait loci (QTL) analysis and marker-assisted selection (MAS) in plant breeding. The presentation begins by explaining the type of quantitative traits. The process of QTL analysis, including the use of molecular genetic markers and statistical methods, is discussed. Practical examples demonstrating the power of MAS are provided, such as its use in improving crop traits in plant breeding programs. Overall, this presentation offers a comprehensive overview of these important genomics-based approaches that are transforming modern agriculture.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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.
Basic Civil Engineering Notes of Chapter-6, Topic- Ecosystem, Biodiversity Green house effect & Hydrological cycle
Types of Ecosystem
(1) Natural Ecosystem
(2) Artificial Ecosystem
component of ecosystem
Biotic Components
Abiotic Components
Producers
Consumers
Decomposers
Functions of Ecosystem
Types of Biodiversity
Genetic Biodiversity
Species Biodiversity
Ecological Biodiversity
Importance of Biodiversity
Hydrological Cycle
Green House Effect
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
Chapter 3 - Islamic Banking Products and Services.pptx
ALA 2010 -- Johan Bollen
1. The MESUR project: an overview and update
Johan Bollen
Indiana University
School of Informatics and Computing
Center for Complex Networks and System Research
p y
jbollen@indiana.edu
Acknowledgements:
Herbert Van de Sompel (LANL), Marko A. Rodriguez (LANL), Ryan Chute (LANL),
Lyudmila L. Balakireva (LANL), Aric Hagberg (LANL), Luis Bettencourt (LANL)
Research supported by the NSF and Andrew W. Mellon Foundation.
School of Informatics and Computing
Indiana University
November 5th, 2009
2. When the obvious is staring you in the face
School of Informatics and Computing
Indiana University
November 5th, 2009
3. The scientific process: the importance of early indicators
(Egghe & Rousseau, 2000; Wouters, 1997)
(Brody, Harnad, & Carr 2006),
Usage data
Citation: final products
• Scale, cf. Elsevier downloads
• Publication delays
(+1B) vs. Wos citations (650M)
vs
• Focus on publications
• Immediate, early stages
• Focus on authors
• Variety of resources and actors
School of Informatics and Computing
Indiana University
November 5th, 2009
4. What is MESUR?
MESUR IS: Scientific project to study Science itself
from REAL-TIME indicators.
Foundations:
• Very large-scale, representative usage data (10^9)
• Network science and social network analysis
• Complex systems, complex networks
systems
Outcomes
• Surveys of novel impact metrics and their properties
• Network models of Science
Unrelated picture of my daughter (who
wants to be a scientist)
MESUR IS NOT:
Commercial endeavor, end-user service development, promoter of
particular impact metrics, enemy nor friend of particular
metrics, advocacy group, …
School of Informatics and Computing
Indiana University
November 5th, 2009
5. Timeline and development
• 2006-2008:
o Andrew W. Mellon Foundation
o Digital Library Research and Prototyping team Los Alamos National
team,
Laboratory
o Collection of large-scale usage data from some of world’s most
significant publishers, aggregators and institutional consortia
o Feasibility: Usage data, usage-based network models of science,
usage-based impact metrics
• 2009 – infinity and beyond:
o NSF funding (SciSIP, 2009 2012)
f di (S iSIP 2009-2012)
o Indiana University, School of Informatics and Computing
• 2010: Andrew W. Mellon foundation
o Continuation of MESUR data collection and scientific work
o Investigate evolving to sustainable, open, community-supported
infrastructure
School of Informatics and Computing
Indiana University
November 5th, 2009
6. Presentation structure
1. MESUR’s Usage reference data set
g
2. Mapping scientific activity
3. Metrics survey
4. Future research
5. Discussion
School of Informatics and Computing
Indiana University
November 5th, 2009
7. Creating the MESUR usage reference data set
1B
2006-2008: Collaborating publishers, aggregators and institutional consortia:
• BMC, Blackwell, UC, CSU (23), EBSCO, ELSEVIER, EMERALD, INGENTA, JSTOR,
LANL, MIMAS/ZETOC, THOMSON, UPENN (9), UTEXAS
• Scale:
o > 1,000,000,000 usage events, and growing…
o +50M articles, +-100,000 serials
50M ti l 100 000 i l
• Period: 2002-2007, but mostly 2006
School of Informatics and Computing
Indiana University
November 5th, 2009
8. Data normalization and ingestion
Minimal requirements for all usage data
• Unique usage events (article level)
• Fields: unique session ID, date/time, unique document ID and/or metadata,
request type
• Note difference with usage statistics
2007 9 1 0 0 1 CFA cffoe A172080.N1.Vanderbilt.Edu unknown AST A 1996SPIE.2828..64S http://foe.edu/abs/1996SPIE.2828..64S http://www.google.com
2007 9 1 0 0 1 CFA cffoe 210.94.41.89 unknown PHY A 2007ApPhL.90a2120C http://foe.edu/abs/2007ApPhL.90a2120C http://www.google.co.kr
2007 9 1 0 0 1 CFA cffoe 24-196-228-125.dhcp.gwnt.ga.charter.com unknown AST A 2000ASPC.213.333S http://foe.edu/abs/2000bioa.conf.333S http://scholar.go
2007 9 1 0 0 4 CFA cffoe 163.152.35.114 4700387eae PHY A 1993WRR..29.133S http://foe.edu/abs/1993WRR..29.133S http://scholar.google.com
2007 9 1 0 0 6 CFA cffoe pd9e980fc dip0 t ipconnect de 45f0c69881
pd9e980fc.dip0.t-ipconnect.de AST X 2007AN 328 841H http://arXiv org/abs/0708 1863 http://foe edu
2007AN..328.841H http://arXiv.org/abs/0708.1863 http://foe.edu
2007 9 1 0 0 1 CFA cffoe A172080.N1.Vanderbilt.Edu unknown AST A 1996SPIE.2828..64S http://foeabs.edu/abs/1996SPIE.2828..64S http://www.google.com
2007 9 1 0 0 1 CFA cffoe 210.94.41.89 unknown PHY A 2007ApPhL.90a2120C http://foeabs.edu/abs/2007ApPhL.90a2120C http://www.google.co.kr
2007 9 1 0 0 1 CFA cffoe 24-196-228-125.dhcp.gwnt.ga.charter.com unknown AST A 2000ASPC.213.333S http://foeabs.edu/abs/2000bioa.conf.333S http://schola
2007 9 1 0 0 4 CFA cffoe 163.152.35.114 4700387eae PHY A 1993WRR..29.133S http://foeabs.edu/abs/1993WRR..29.133S http://scholar.google.com
2007 9 1 0 0 6 CFA cffoe pd9e980fc.dip0.t-ipconnect.de 45f0c69881 AST X 2007AN..328.841H http://arXiv.org/abs/0708.1863 http://foeabs.edu
2007 9 1 0 0 6 CFA cffoe foel25144.4u.com.gh 47002f8eda PHY A 2002AGUFM.S21A0965M http://foeabs.edu/abs/2002AGUFM.S21A0965M http://www.goo
2007 9 1 0 0 6 CFA cffoe 66-215-171-214.dhcp.ccmn.ca.charter.com 4681d22a6f AST A 2001P&SS..49.657R http://foeabs.edu/cgi-bin/bib_query?bibcode=2001P%
2007 9 1 0 0 7 CFA cffoe nat ptouser3 uspto gov unknown PHY A
nat-ptouser3.uspto.gov 2005ApPhL 86g2106M http://foeabs edu/abs/2005ApPhL 86g2106M
2005ApPhL.86g2106M http://foeabs.edu/abs/2005ApPhL.86g2106M http://www google com
http://www.google.com
2007 9 1 0 0 7 CFA cffoe cpe-71-65-25-115.ma.res.rr.com unknown PHY A 1980SPIE.205.153S http://foeabs.edu/abs/1980SPIE.205.153S http://www.google.com
2007 9 1 0 0 7 CFA cffoe customer3491.pool1.unallocated-106-0.orangehomedsl.co.uk unknown PHY A 1983ElL..19.883V http://foeabs.edu/abs/1983ElL..19.883V
2007 9 1 0 0 8 CFA cffoe Uranus.seas.ucla.edu 46672d96b2 PHY A 1966Phy..32.385K http://foeabs.edu/abs/1966Phy..32.385K http://www.google.com
2007 9 1 0 0 9 CFA cffoe 75-121-173-37.dyn.centurytel.net 46cf1fd8a6 AST D 1984ApJS..56.257J http://vizier.cfa.edu/viz-bin/VizieR?-source=III/92/ http://foe
2007 9 1 0 0 13 CFA cffoe foel17-18.kln.forthnet.gr unknown AST A 1987cosm.book...C http://foeabs.edu/abs/1987cosm.book...C http://www.google.gr
2007 9 1 0 0 15 CFA cffoe hades.astro.uiuc.edu 46f707564d PRE A 2007arXiv0707.3146N http://foeabs.edu/abs/2007arXiv0707.3146N http://foeabs.edu
2007 9 1 0 0 17 CFA cffoe ool-43554752.dyn.optonline.net unknown PHY A 2000PhTea.38.132K http://foeabs.edu/abs/2000PhTea.38.132K http://www.google.com
2007 9 1 0 0 17 CFA cffoe c 68 33 176 222 hsd1 md comcast net unknown GEN A
c-68-33-176-222.hsd1.md.comcast.net 1994RSPSB.256.177M http://foeabs.edu/abs/1994RSPSB.256.177M
1994RSPSB 256 177M http://foeabs edu/abs/1994RSPSB 256 177M http://w
2007 9 1 0 0 19 CFA cffoe 74-36-139-46.dr02.brvl.mn.frontiernet.net unknown AST T 2002SPIE.4767.114W http://foeabs.edu/cgi-bin/nph-abs_connect?bibcode=20
2007 9 1 0 0 19 CFA cffoe c-76-16-53-120.hsd1.il.comcast.net 46f667b71b AST F 1916PA...24.613L http://articles.foeabs.edu/cgi-bin/nph-iarticle_query?1916PA
2007 9 1 0 0 20 CFA cffoe 74-39-37-62.nas03.roch.ny.frontiernet.net unknown PHY E 2007JSTEd.tmp..29B http://dx.doi.org/10.1007/s10972-007-9067-2 http://fo
2007 9 1 0 0 22 ANU bio-mirror uatu-virtual1.anu.edu.au 46f9e8f87f AST A 2006ApJ..647.128E http://foe.grangenet.net/abs/2006ApJ..647.128E http://foe
2007 9 1 0 0 22 CFA cffoe fw.hia.nrc.ca 46f1531d59 AST A 2002P&SS..50.745H http://foeabs.edu/abs/2002P%26SS..50.745H http://foeabs.edu
2007 9 1 0 0 22 CFA cffoe 24-117-0-220.cpe.cableone.net unknown AST A 1984BITA..15.268S http://foeabs.edu/abs/1984BITA..15.268S http://www.google.com
2
School of Informatics and Computing
Indiana University
November 5th, 2009
9. Presentation structure
1. MESUR’s Usage reference data set
g
2. Mapping scientific activity
3. Metrics survey
4. Future research
5. Discussion
School of Informatics and Computing
Indiana University
November 5th, 2009
10. Data set: subset of MESUR
• Common time period:
p
o March 1st 2006 - February 1st 2007
o Thomson Scientific (Web of Science),
Elsevier (Scopus), JSTOR, Ingenta,
University of Texas ( campuses, 6
y (9 p ,
health institutions), and California State
University (23 campuses)
• 346,312,045
346 312 045 usage events
• 97,532 serials (many of which not
journals)
School of Informatics and Computing
Indiana University
November 5th, 2009
11. How to generate a usage network.
Same session ~ documents relatedness
• Same session, same user: common interest
• FFrequency of co-occurrence = d
f degree of
f
relationship
• Normalized: conditional probability
Usage data is on article level:
• Works for journals and articles
• Anything for which usage was recorded
Note: not something we invented: association rule
learning in data mining.
Beer and diapers!
School of Informatics and Computing
Indiana University
November 5th, 2009
12. Johan Bollen, Herbert Van de Sompel, Aric Hagberg,Luis
Bettencourt, Ryan Chute, Marko A. Rodriguez, Lyudmila
Balakireva. Clickstream data yields high-resolution maps
of science. PLoS One, February 2009.
School of Informatics and Computing
Indiana University
November 5th, 2009
13. Network science for impact metrics.
PageRank
PR(vi): PageRank of node vi
O(vj): out-degree of journal vj
N: number of nodes in network
L: dampening factor
Betweenness centrality
: Number of geodesics between vi and vj
School of Informatics and Computing
Indiana University
November 5th, 2009
14. Presentation structure
1. MESUR’s Usage reference data set
g
2. Mapping scientific activity
3. Metrics survey
4. Future research
5. Discussion
School of Informatics and Computing
Indiana University
November 5th, 2009
15. A variety of impact metrics
Note:
• Metrics can be calculated
both on citation and
usage data
• “Frequentist”
o Citation and usage
rates
• “Structural”
o Citation graph, e.g.
2005 JCR
o Usage graph, e.g.
created by MESUR
• H-index, G-index, SJR,
What d th
Wh t do they MEAN? etc
t
What facets of impact do they represent?
Which are best suited?
School of Informatics and Computing
Indiana University
November 5th, 2009
16. Set of metrics calculated on MESUR data set
School of Informatics and Computing
Indiana University
November 5th, 2009
17. The MESUR Metrics Map
BETWEENNESS
PAGERANK(S)
USAGE METRICS
TOTAL CITES
Johan Bollen, Herbert Van de Sompel, Aric
Hagberg and Ryan Chute. A Principal
g g y p
Component Analysis of 39 Scientific Impact
Measures. PLoS ONE, June 2009. URL:
http://dx.plos.org/10.1371/journal.pone.0006
022.
RATE METRICS
School of Informatics and Computing
Indiana University
November 5th, 2009
18. Presentation structure
1. MESUR’s Usage reference data set
g
2. Mapping scientific activity
3. Metrics survey
4. Future research
5. Discussion
School of Informatics and Computing
Indiana University
November 5th, 2009
19. Samples of future work (can be skipped)
• Longitudinal studies:
o Network changes over time: collaboration with Carl Bergstrom (UW)
o Prediction f innovation using random walk models
P di ti of i ti i d lk d l
• Logistics:
o Expand existing data set: focus on standardization, repeatability
o Establish continued funding, good home for project
o “Center” model: rather than data->scientists, scientists->data
School of Informatics and Computing
Indiana University
November 5th, 2009
20. Animated maps: tracing bursts of scientific activity
p g y
School of Informatics and Computing
Indiana University
November 5th, 2009
21. Coordinated bursts
3
2
1
School of Informatics and Computing
Indiana University
November 5th, 2009
22. MESUR Mapping and ranking services
School of Informatics and Computing
Indiana University
November 5th, 2009
23. MESUR Mapping and ranking services
School of Informatics and Computing
Indiana University
November 5th, 2009
24. MESUR Mapping and ranking services
School of Informatics and Computing
Indiana University
November 5th, 2009
25. MESUR: the good ...
After 3 years of MESUR:
• Scientific exploration of metrics for scholarly evaluation
• Creation of large-scale reference data set
• Mapping science from the viewpoint of users: there is structure!
pp g p
• Variety of metrics that cover various aspects of scholarly impact and prestige
• MESUR dataset contains many more pearls for future research
• Foundation for future continued research program:
p g
• Longitudinal studies
• Models of collective behavior of scientists
School of Informatics and Computing
Indiana University
November 5th, 2009
26. MESUR: the bad and the ugly …
Scalability of the approach:
• Lengthy negotiations to obtain log data
• No infrastructure standards (yet): Recording, aggregating,
normalization, ingestion, de-duplication,…
• No generally accepted policies: privacy, property, …
• No census data: when is a sample large and representative enough?
Quality control:
• Bots, Crawlers (detectable but never perfect)
• Cheating manipulation (easier with usage statistics than network
Cheating,
metrics)
Acceptance:
p
• Network-based usage metrics require session information. This is
overlooked! As a result, will we end up with usage-based statistics only?
• “As simple as possible, but not more simple!”
School of Informatics and Computing
Indiana University
November 5th, 2009
27. Moving towards community involvement
“
Registration is now open for "Scholarly Evaluation Metrics: Opportunities and
Challenges", a one-day NSF-funded workshop that will take place in the Renaissance
Washington
W hi t DC H t l on W d
Hotel Wednesday, December 16th 2009. P ti i ti i thi workshop
d D b 2009 Participation in this k h
is limited to 50 people. Registration is free
at http://informatics.indiana.edu/scholmet09/registration.html.
The topic of the workshop is the future of scholarly assessment approaches, including
p p y pp , g
organizational, infrastructural, and community issues. The overall goal is to identify
requirements for novel assessment approaches, several of which have been proposed in
recent years, to become acceptable to community stakeholders including scholars, academic
and research institutions, and funding agencies. The impressive group of speakers and
panelists for the workshop includes representatives from each of these constituencies.
Further details are available at http://informatics.indiana.edu/scholmet09/announcement.html
Workshop organizers:
Johan Bollen (jbollen@indiana.edu),
Herbert Van de Sompel (hvdsomp@gmail.com) and
Ying Ding (dingying@indiana.edu)
“
School of Informatics and Computing
Indiana University
November 5th, 2009
28. Moving towards community involvement
Planning process underway to establish sustainable, open, community supported infrastructure.
New support from Andrew W. Mellon foundation to figure it all out.
Logistics: Science:
Data aggregation Metrics
Normalization Analysis
Data-related services Prediction
Data management
Services =More than sum of parts:
Ranking • Each component supports the other
Assessment • Various business and funding models
Mapping • Generate added value on all levels
Can fundamentally change scholarly
communication
School of Informatics and Computing
Indiana University
November 5th, 2009
29. Some relevant publications.
Johan Bollen, Herbert Van de Sompel, Aric Hagberg, Luis Bettencourt, Ryan Chute,
Marko A. Rodriguez, Lyudmila Balakireva. Clickstream data yields high-
resolution maps of science. PLoS One, March 2009 (In Press)
Johan Bollen, Herbert Van de Sompel, Aric HagBerg, Ryan Chute. A principal
component analysis of 39 scientific impact measures.
arXiv.org/abs/0902.2183
Johan Bollen, Marko A. Rodriguez, and Herbert Van de Sompel. Journal status. Scientometrics, 69(3),
December 2006 (arxiv.org:cs.DL/0601030)
( g )
Johan Bollen, Herbert Van de Sompel, and Marko A. Rodriguez. Towards usage-based impact metrics: first
results from the MESUR project. In Proceedings of the Joint Conference on Digital Libraries, Pittsburgh,
June 2008
Marko A. Rodriguez, Johan Bollen and Herbert Van de Sompel. A Practical Ontology for the Large-Scale
Modeling of Scholarly Artifacts and their Usage, In Proceedings of the Joint Conference on Digital
Libraries, Vancouver,
Libraries Vancouver June 2007
Johan Bollen and Herbert Van de Sompel. Usage Impact Factor: the effects of sample characteristics on
usage-based impact metrics. (cs.DL/0610154)
Johan Bollen and Herbert Van de Sompel. An architecture for the aggregation and analysis of scholarly
usage data. In Joint Conference on Digital Libraries (JCDL2006), pages 298-307, June 2006.
Johan Bollen and Herbert Van de Sompel. Mapping the structure of science through usage. Scientometrics,
69(2), 2006.
Johan Bollen, Herbert Van de Sompel, Joan Smith, and Rick Luce. Toward alternative metrics of journal
impact: a comparison of download and citation data. Information Processing and Management,
41(6):1419-1440, 2005.
School of Informatics and Computing
Indiana University
November 5th, 2009
30. Presentation structure
1. MESUR’s Usage reference data set
g
2. Mapping scientific activity
3. Metrics survey
4. Future research
5. Discussion
School of Informatics and Computing
Indiana University
November 5th, 2009