This presentation was provided by Galadriel Chilton of The Ivy Plus Library Confederation, during the NISO training series "Assessment Practices and Metrics for the 21st Century (Session Three)," held on November 8, 2019.
This presentation was provided by Kristi Holmes of Northwestern University during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
This presentation was provided by Lisa Hinchliffe of The University of Illinois, during Session Seven of the NISO event "Assessment Practices and Metrics for the 21st Century," held on December 13, 2019.
This presentation was provided by Clara Chu and Merinda Kaye Hensley of The University of Illinois, during Session Eight of the NISO event "Assessment Practices and Metrics for the 21st Century," held on December 6, 2019.
This presentation was provided by Maria Praetzellis of California Digital Library, during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
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.
This presentation was provided by Carly Strasser of the Chan Zuckerberg Initiative during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
This presentation was provided by Joe Zucca of the University of Pennsylvania, during Session Five of the NISO event "Assessment Practices and Metrics for the 21st Century," held on November 22, 2019.
This presentation was provided by Kristi Holmes of Northwestern University during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
This presentation was provided by Lisa Hinchliffe of The University of Illinois, during Session Seven of the NISO event "Assessment Practices and Metrics for the 21st Century," held on December 13, 2019.
This presentation was provided by Clara Chu and Merinda Kaye Hensley of The University of Illinois, during Session Eight of the NISO event "Assessment Practices and Metrics for the 21st Century," held on December 6, 2019.
This presentation was provided by Maria Praetzellis of California Digital Library, during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
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.
This presentation was provided by Carly Strasser of the Chan Zuckerberg Initiative during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
This presentation was provided by Joe Zucca of the University of Pennsylvania, during Session Five of the NISO event "Assessment Practices and Metrics for the 21st Century," held on November 22, 2019.
This document summarizes research data support services at Tufts University. It discusses the context at Tufts including relevant support organizations. It describes collaborations between the libraries, technology services, and research centers to provide data management resources like the Tufts Data Lab, a data management team, and Carpentries data workshops. Ongoing work includes developing guidance on data storage, a centralized support website, and expanding the use of the Dataverse sharing platform.
This presentation was provided by Clara Llebot of Oregon State University, during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
Les Hawkins discusses the development of the CONSER Standard Record (CSR) for cataloging serials. He addresses the challenges of introducing change, building trust, and clear communication. The CSR provides essential elements for users while streamlining training. It was developed cooperatively, tested at several institutions, and informed by user perspectives. While initial agreement took time, outreach, documentation, and online learning have increased adoption of the CSR over the past year.
This presentation was provided by Stuart Maxwell of Scholarly iQ, during the NFAIS Forethought event "Artificial Intelligence #2 – Processes for Media Analysis and Extraction" The webinar was held on May 20, 2020.
This presentation was provided by Rebecca Springer of Ithaka S+R, during part one of the NISO two-part webinar "Labor and Capacity for Research Data Management," which was held on March 11, 2020.
Communications and context: strategies for onboarding new e-resources librari...NASIG
Presented by Bonnie Thornton.
This presentation details onboarding strategies institutions can utilize to help acclimate new e-resources librarians with an emphasis on strategies for effectively establishing and perpetuating communications with stakeholders.
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
Jared Lyle, ICPSR
Jennifer Doty, Emory University
Joel Herndon, Duke University
Libbie Stephenson, University of California, Los Angeles
RDAP14: DataONE: Data Observation Network for EarthASIS&T
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
Amber E. Budden, Director for Community Engagement and Outreach, DataONE, University of New Mexico
The document discusses data management plan requirements for proposals submitted to the U.S. Department of Energy Office of Science for research funding. It provides context on the history of data management policies, outlines the four main requirements for inclusion of a data management plan, and suggests elements that should be included in the plan such as data types/sources, content/format, sharing/preservation, and protection. It also discusses tools like the Public Access Gateway for Energy and Science that can help manage access to research publications and data.
RDAP14: Data on a dime, building data services at James Madison University ASIS&T
The document discusses the librarian Yasmeen Shorish's efforts to address faculty needs for guidance on data management plans (DMPs) required by the National Science Foundation at James Madison University. Shorish worked with campus partners to present the DMP Tool to administration and create a taskforce, which positioned the library to hire additional staff and develop an institutional repository to build services around data as a scholarly product and support the university's focus on undergraduate research.
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Building Best Practices in Research Data Management: Tisch Library’s Initiatives
Regina F. Raboin, Science Research and Instruction Librarian/ Data Management Services Group Coordinator, Tisch Library, Tufts University
This document discusses research data management and related issues. It defines research data as any information used in research, including observational, experimental, and simulated data. Proper research data management is important for data preservation, access, and reuse. Institutions should establish research data services and policies to address questions around data ownership, sharing standards, and long-term preservation.
NISO Virtual Conference
Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Enabling transparency and efficiency in the research landscape
Dr. Melissa Haendel, Associate Professor, Ontology Development Group, OHSU Library, Department of Medical Informatics and Epidemiology, Oregon Health & Science University
Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...ASIS&T
Betsy Gunia, David Fearon, Benjamin Brosius, Tim DiLauro
JHU Data Management Services
Johns Hopkins University Sheridan Libraries
A Workflow for Depositing to a Research Data Repository: A Case Study for Archiving Publication Data
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
RDAP14 Poster: Samantha Guss Data management planning and responsible conduct...ASIS&T
Data management planning and responsible conduct of research: a pilot educational partnership at NYU
Research Data Access & Preservation Summit
March 26-28, 2014
San Diego, CA
Samantha Guss, New York University
Aligning Learning Analytics with Classroom Practices & NeedsSimon Knight
The Learning Analytics Research Network (LEARN) invites you to join us for a talk about the exciting ways in which the University of Technology Sydney is using participatory design to augment existing classroom practices with learning analytics. Simon Knight, a LEARN Visiting Scholar from the University of Technology Sydney, will introduce a variety of projects, including their work developing analytics to support student writing.
Come meet others at NYU interested in learning analytics while learning from the examples of leading work in Australia. A light lunch will be served and the talk will be followed by a short Q&A. RSVP is required.
About Simon Knight
Simon Knight is a lecturer at the University of Technology Sydney in the Faculty of Transdisciplinary Innovation. His research investigates how people find and evaluate evidence, particularly in the context of learning and educator practices. Dr Knight received his Bachelor’s degree in Philosophy and Psychology from the University of Leeds before completing a teacher education program and Philosophy of Education MA at the UCL Institute of Education. Following teaching high school social sciences, Dr Knight completed an MPhil in Educational Research Methods at Cambridge, and PhD in Learning Analytics at the UK Open University.
About Simon’s Talk
How do we make use of data about our students to support their learning, and where does learning analytics fit into that? Educators are increasingly asked to work with data and technologies such as learning analytics to support and provide evidence of student learning. However, what learning analytics developers should design for, and how educators will implement analytics, is unclear. Learning analytics risks the same levels of low uptake and implementation as many other educational technologies if they do not align with educator practice and needs. How then do we tackle this gap, to support and develop technologies that are implemented in practice, for impact on learning?
At the University of Technology Sydney, we have taken a participatory design based approach to designing and implementing learning analytics in practice, and understanding their impact. In our work we have identified existing practices with which learning analytics may be aligned to augment them. This talk introduces some of these projects, particularly drawing on our work in developing analytics to support student writing (writing analytics), giving examples of how analytics were aligned with existing pedagogic practices to support learning. Through this augmentation, supported by design-based approaches, we argue we can develop research and practice in tandem.
This quantitative research study aims to understand why graduate students prefer using Google over library databases for scholarly research. A survey will be administered via email to 1600 graduate students at Emporia State University to collect data on their search behaviors, perceptions of ease of use, and other factors. The goal is to receive 300 responses to obtain a reliable sample size. Results will help libraries develop more user-friendly discovery tools and inform database vendors. The research was designed based on a literature review exploring this topic and adheres to ethical standards involving human subjects. Some limitations include potential low response rate and lack of follow up interviews.
This document summarizes research data support services at Tufts University. It discusses the context at Tufts including relevant support organizations. It describes collaborations between the libraries, technology services, and research centers to provide data management resources like the Tufts Data Lab, a data management team, and Carpentries data workshops. Ongoing work includes developing guidance on data storage, a centralized support website, and expanding the use of the Dataverse sharing platform.
This presentation was provided by Clara Llebot of Oregon State University, during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
Les Hawkins discusses the development of the CONSER Standard Record (CSR) for cataloging serials. He addresses the challenges of introducing change, building trust, and clear communication. The CSR provides essential elements for users while streamlining training. It was developed cooperatively, tested at several institutions, and informed by user perspectives. While initial agreement took time, outreach, documentation, and online learning have increased adoption of the CSR over the past year.
This presentation was provided by Stuart Maxwell of Scholarly iQ, during the NFAIS Forethought event "Artificial Intelligence #2 – Processes for Media Analysis and Extraction" The webinar was held on May 20, 2020.
This presentation was provided by Rebecca Springer of Ithaka S+R, during part one of the NISO two-part webinar "Labor and Capacity for Research Data Management," which was held on March 11, 2020.
Communications and context: strategies for onboarding new e-resources librari...NASIG
Presented by Bonnie Thornton.
This presentation details onboarding strategies institutions can utilize to help acclimate new e-resources librarians with an emphasis on strategies for effectively establishing and perpetuating communications with stakeholders.
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
Jared Lyle, ICPSR
Jennifer Doty, Emory University
Joel Herndon, Duke University
Libbie Stephenson, University of California, Los Angeles
RDAP14: DataONE: Data Observation Network for EarthASIS&T
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
Amber E. Budden, Director for Community Engagement and Outreach, DataONE, University of New Mexico
The document discusses data management plan requirements for proposals submitted to the U.S. Department of Energy Office of Science for research funding. It provides context on the history of data management policies, outlines the four main requirements for inclusion of a data management plan, and suggests elements that should be included in the plan such as data types/sources, content/format, sharing/preservation, and protection. It also discusses tools like the Public Access Gateway for Energy and Science that can help manage access to research publications and data.
RDAP14: Data on a dime, building data services at James Madison University ASIS&T
The document discusses the librarian Yasmeen Shorish's efforts to address faculty needs for guidance on data management plans (DMPs) required by the National Science Foundation at James Madison University. Shorish worked with campus partners to present the DMP Tool to administration and create a taskforce, which positioned the library to hire additional staff and develop an institutional repository to build services around data as a scholarly product and support the university's focus on undergraduate research.
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Building Best Practices in Research Data Management: Tisch Library’s Initiatives
Regina F. Raboin, Science Research and Instruction Librarian/ Data Management Services Group Coordinator, Tisch Library, Tufts University
This document discusses research data management and related issues. It defines research data as any information used in research, including observational, experimental, and simulated data. Proper research data management is important for data preservation, access, and reuse. Institutions should establish research data services and policies to address questions around data ownership, sharing standards, and long-term preservation.
NISO Virtual Conference
Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Enabling transparency and efficiency in the research landscape
Dr. Melissa Haendel, Associate Professor, Ontology Development Group, OHSU Library, Department of Medical Informatics and Epidemiology, Oregon Health & Science University
Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...ASIS&T
Betsy Gunia, David Fearon, Benjamin Brosius, Tim DiLauro
JHU Data Management Services
Johns Hopkins University Sheridan Libraries
A Workflow for Depositing to a Research Data Repository: A Case Study for Archiving Publication Data
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
RDAP14 Poster: Samantha Guss Data management planning and responsible conduct...ASIS&T
Data management planning and responsible conduct of research: a pilot educational partnership at NYU
Research Data Access & Preservation Summit
March 26-28, 2014
San Diego, CA
Samantha Guss, New York University
Aligning Learning Analytics with Classroom Practices & NeedsSimon Knight
The Learning Analytics Research Network (LEARN) invites you to join us for a talk about the exciting ways in which the University of Technology Sydney is using participatory design to augment existing classroom practices with learning analytics. Simon Knight, a LEARN Visiting Scholar from the University of Technology Sydney, will introduce a variety of projects, including their work developing analytics to support student writing.
Come meet others at NYU interested in learning analytics while learning from the examples of leading work in Australia. A light lunch will be served and the talk will be followed by a short Q&A. RSVP is required.
About Simon Knight
Simon Knight is a lecturer at the University of Technology Sydney in the Faculty of Transdisciplinary Innovation. His research investigates how people find and evaluate evidence, particularly in the context of learning and educator practices. Dr Knight received his Bachelor’s degree in Philosophy and Psychology from the University of Leeds before completing a teacher education program and Philosophy of Education MA at the UCL Institute of Education. Following teaching high school social sciences, Dr Knight completed an MPhil in Educational Research Methods at Cambridge, and PhD in Learning Analytics at the UK Open University.
About Simon’s Talk
How do we make use of data about our students to support their learning, and where does learning analytics fit into that? Educators are increasingly asked to work with data and technologies such as learning analytics to support and provide evidence of student learning. However, what learning analytics developers should design for, and how educators will implement analytics, is unclear. Learning analytics risks the same levels of low uptake and implementation as many other educational technologies if they do not align with educator practice and needs. How then do we tackle this gap, to support and develop technologies that are implemented in practice, for impact on learning?
At the University of Technology Sydney, we have taken a participatory design based approach to designing and implementing learning analytics in practice, and understanding their impact. In our work we have identified existing practices with which learning analytics may be aligned to augment them. This talk introduces some of these projects, particularly drawing on our work in developing analytics to support student writing (writing analytics), giving examples of how analytics were aligned with existing pedagogic practices to support learning. Through this augmentation, supported by design-based approaches, we argue we can develop research and practice in tandem.
This quantitative research study aims to understand why graduate students prefer using Google over library databases for scholarly research. A survey will be administered via email to 1600 graduate students at Emporia State University to collect data on their search behaviors, perceptions of ease of use, and other factors. The goal is to receive 300 responses to obtain a reliable sample size. Results will help libraries develop more user-friendly discovery tools and inform database vendors. The research was designed based on a literature review exploring this topic and adheres to ethical standards involving human subjects. Some limitations include potential low response rate and lack of follow up interviews.
Invited talk, INSIGHT Centre for Data Analytics, Univ. Galway, 2 Oct 2013, http://www.insight-centre.org
Abstract:
Data and analytics are transforming how organisations work in all sectors. While there are clearly ethical issues around big data and privacy, there may also be an argument that educational institutions have a moral obligation to use all the information they have to maximize the learner's progress. So, assuming education can't (arguably shouldn't) resist this revolution, the question is how to harness this new capability intelligently. Learning Analytics is an exploding research field and startup market: do leaders know what to ask when the vendors roll up with dazzling dashboards? In this talk I'll provide an overview of developments, and consider some of the key questions we should be asking. Like any modelling technology and accounting system, analytics are not neutral, and do not passively describe sociotechnical reality: they begin to shape it. Moreover, they start with the things that are easiest to count, which doesn't necessarily equate to the things we value in learning. Given the crisis in education at many levels, what realities do we want analytics to perpetuate, or bring into being?
Bio:
Simon Buckingham Shum is Professor of Learning Informatics at the UK Open University's Knowledge Media Institute. He researches, teaches and consults on Learning Analytics, Collective Intelligence and Argument Visualization. His background is B.Sc. Psychology, M.Sc. Ergonomics and Ph.D. Human-Computer Interaction. He co-edited Visualizing Argumentation (Springer 2003), the standard reference in the field, followed by Knowledge Cartography (2008). In the field of Learning Analytics, he served as Program Co-Chair of the 2nd International Learning Analytics LAK12 conference, chaired the LAK13 Discourse-Centric Learning Analytics workshop, and the LASI13 Dispositional Learning Analytics workshop. He is a co-founder of the Society for Learning Analytics Research, Compendium Institute, LearningEmergence.net, and was Co-Founder and General Editor of the Journal of Interactive Media in Education. He serves on the Advisory Groups for a variety of learning analytics initiatives in education and enterprise, and is a Visiting Fellow at University of Bristol Graduate School of Education. Contact him via http://simon.buckinghamshum.net
This was a presentation delivered at the 10th Northumbria Conference in York during July 2013. It provides a background, and introduction and overview to the Library Analytics and Metrics Project (LAMP) work that Jisc, Mimas (University of Manchester) and University of Huddersfield are collaborating on.
The project will develop a prototype shared library analytics service for UK universities and colleges.
1) The document summarizes a project that aimed to prove a statistically significant correlation between student library usage data (book borrowing, e-resource access, library visits) and student attainment across multiple universities.
2) Initial findings from statistical tests performed on data from partner libraries implied a relationship between usage and attainment, though not cause and effect.
3) If completed, the project aimed to release its findings and data to help other institutions benchmark library impact on student outcomes.
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.
Opening Keynote: From where we are to where we want to be: The future of resource discovery from a UK perspective
Neil Grindley, Head of Resource Discovery, Jisc
The document summarizes an educational workshop for librarians that covers three parts: 1) E-resources implementation and innovation with ideas and practical steps, 2) Getting the most out of Credo Reference services and increasing usage, 3) New features from Credo Reference including topic pages and subject collections.
Learning Analytics (or: The Data Tsunami Hits Higher Education)Simon Buckingham Shum
Keynote Address to The Impact of Higher Education: Addressing the Challenges of the 21st CenturyEuropean Association for Institutional Research (EAIR) 35th Annual Forum 2013, Erasmus University, Rotterdam, the Netherlands, 28-31 August 2013. http://www.eair.nl/forum/rotterdam
Open access to research has been shown to accelerate the research cycle and increase citations and usage of articles. In high-energy physics, researchers have openly shared preprints for decades through arXiv, allowing findings to be rapidly built upon. Analysis of arXiv usage shows the time between preprint posting and citation has significantly decreased as open access has increased. Studies also consistently find that open access articles receive more citations, with some seeing a 600% increase, than articles hidden behind paywalls. However, journal impact factors should not be used to evaluate individual researchers or papers, as they measure prestige rather than use or quality.
This presentation was provided by Joan Lippincott of The Coalition for Networked Information (CNI), during Session Eight of the NISO training series "Assessment Practices and Metrics in a 21st Century Pandemic," held on November 6, 2020.
About the Webinar
Big data is being collected at a rate that is surpassing traditional analytical methods due to the constantly expanding ways in which data can be created and mined. Faculty in all disciplines are increasingly creating and/or incorporating big data into their research and institutions are creating repositories and other tools to manage it all. There are many challenge to effectively manage and curate this data—challenges that are both similar and different to managing document archives. Libraries can and are assuming a key role in making this information more useful, visible, and accessible, such as creating taxonomies, designing metadata schemes, and systematizing retrieval methods.
Our panelists will talk about their experience with big data curation, best practices for research data management, and the tools used by libraries as they take on this evolving role.
The document discusses findings from a research coalition that studied the impact of electronic portfolios on student learning. The coalition found that eportfolios correlated with increased reflective learning, integrative learning, and help students establish their identities. Specifically, eportfolios revealed connections between reflection quality and evidence, engaged students in new ways of thinking, and helped develop strong professional identities. The coalition's collaborative, practitioner-based research approach allowed them to generate practical and intellectual insights into portfolio use across different institutions.
Learning Analytics and Libraries: A Natural PartnershipWiLS
Presented at WiLSWorld 2016 on August 2nd, 2016 by Kimberly Arnold, Evaluation Consultant, UW-Madison
Learning analytics has recently burst onto the educational scene. A process that helps optimize the teaching and learning environment for students, educators, and administrators, learning analytics has proven it is more than a passing trend. This session will offer a primer on learning analytics and share examples of how libraries are getting involved.
1) The document discusses social learning analytics, which examines how learners interact and engage in social learning networks, discourses, and contexts.
2) It presents a taxonomy of social learning analytics, including social network analysis, discourse analysis, content analysis, analysis of learning dispositions, and analysis of social learning contexts.
3) The discussion emphasizes that social learning analytics should not just track what learners do, but also how the data is used to provide formative feedback and help learners grow, moving beyond just institutional tracking of students.
E-Resources and Information Literacy: A Working Sessionsdarbandi
This document outlines the agenda for a working session on e-resources and information literacy. The session will introduce Credo Reference and Libraries Thriving services and have group discussions. It will also cover getting the most out of Credo Reference and new features. Three studies on information literacy challenges students face are summarized. The value of academic libraries is discussed based on an ACRL report. Suggestions are provided for the print to digital transition, curriculum alignment, faculty collaboration, technology trends, and assessment. Case studies model collaboration between libraries and other campus partners.
· You may choose one or more chapters from E.G. Whites, The MinistLesleyWhitesidefv
This document outlines a research study that uses data mining techniques to analyze student behavior data from an online course. Specifically, it uses cluster analysis to group students based on similarity of behavior patterns in the learning management system. It also uses decision tree analysis to classify students and identify attributes that influence exam performance. The goal is to gain insights into how recorded student activities in the online platform relate to successful course completion. The study analyzes log file data capturing student interactions from one course during one semester at a university in Croatia. Results from both cluster analysis and decision tree modeling are presented.
lecture presented by Janice Penaflor for PAARL's 1st Marina G. Dayrit Lecture Series 2016 held at Asian Institute of Maritime Studies, Roxas Boulevard, Pasay City on February 19, 2016
Similar to Chilton "Collaborative Collection Assessment" (20)
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
This presentation was provided by Rebecca Benner, Ph.D., of the American Society of Anesthesiologists, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the closing segment of the NISO training series "AI & Prompt Design." Session Eight: Limitations and Potential Solutions, was held on May 23, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the seventh segment of the NISO training series "AI & Prompt Design." Session 7: Open Source Language Models, was held on May 16, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the sixth segment of the NISO training series "AI & Prompt Design." Session Six: Text Classification with LLMs, was held on May 9, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the fifth segment of the NISO training series "AI & Prompt Design." Session Five: Named Entity Recognition with LLMs, was held on May 2, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the fourth segment of the NISO training series "AI & Prompt Design." Session Four: Structured Data and Assistants, was held on April 25, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the third segment of the NISO training series "AI & Prompt Design." Session Three: Beginning Conversations, was held on April 18, 2024.
This presentation was provided by Kaveh Bazargan of River Valley Technologies, during the NISO webinar "Sustainability in Publishing." The event was held April 17, 2024.
This presentation was provided by Dana Compton of the American Society of Civil Engineers (ASCE), during the NISO webinar "Sustainability in Publishing." The event was held April 17, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the second segment of the NISO training series "AI & Prompt Design." Session Two: Large Language Models, was held on April 11, 2024.
This presentation was provided by Teresa Hazen of the University of Arizona, Geoff Morse of Northwestern University. and Ken Varnum of the University of Michigan, during the Spring ODI Conformance Statement Workshop for Libraries. This event was held on April 9, 2024
This presentation was provided by William Mattingly of the Smithsonian Institution, during the opening segment of the NISO training series "AI & Prompt Design." Session One: Introduction to Machine Learning, was held on April 4, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, for the eight and final session of NISO's 2023 Training Series on Text and Data Mining. Session eight, "Building Data Driven Applications" was held on Thursday, December 7, 2023.
This presentation was provided by William Mattingly of the Smithsonian Institution, for the seventh session of NISO's 2023 Training Series on Text and Data Mining. Session seven, "Vector Databases and Semantic Searching" was held on Thursday, November 30, 2023.
This presentation was provided by William Mattingly of the Smithsonian Institution, for the sixth session of NISO's 2023 Training Series on Text and Data Mining. Session six, "Text Mining Techniques" was held on Thursday, November 16, 2023.
This presentation was provided by William Mattingly of the Smithsonian Institution, for the fifth session of NISO's 2023 Training Series on Text and Data Mining. Session five, "Text Processing for Library Data" was held on Thursday, November 9, 2023.
This presentation was provided by Todd Carpenter, Executive Director, during the NISO webinar on "Strategic Planning." The event was held virtually on November 8, 2023.
More from National Information Standards Organization (NISO) (20)
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
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Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
9. Brown University
Columbia University
Cornell University
Dartmouth College
Duke University
Harvard University
Massachusetts Institute of
Technology (MIT)
University of Pennsylvania
Princeton University
Stanford University
The University of Chicago
The Johns Hopkins
University
Yale University
10. Dataset
Feasibility
Study
Goal
To complete a pilot collection analysis study for
IPLC that helps the partnership understand...
1. How to collaborative across institutions
2. Time and resources needed
3. How messy is the data
4. If Gold Rush’s Content Comparison Tool is a viable
option for collaborative collection analysis work
5. Data extract and ingest processes
...so as to inform collaborative collection
development.
13. “Why focus on the process when the world is outcome driven?
Don’t results matter? Yes, results do matter. But if you
optimize for the outcome, you win one time. If you optimize
for a process that leads to great outcomes, you can win again
and again.”
- James Clear author of
Atomic Habits: An Easy & Proven
Way to Build Good Habits
& Break Bad Ones