This presentation was provided by Ken Varnum of the University of Michigan during a NISO webinar, Tracing Discovery and Subsequent Use, held on Wednesday, Dec. 6, 2017.
This presentation was provided by Peter Vlahakis and Dan Paskett, both of ITHAKA/JSTOR, during the NISO webinar, Tracing Discovery and Subsequent Use, held on Wednesday, December 6, 2017,
This presentation was provided by Allison Belan of Duke University Press during the NISO Webinar, Tracing Discovery and Subsequent Use, held on Wednesday, December 6, 2018.
RDAP 16: How do we know where to grow? Assessing Research Data Services at th...ASIS&T
Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Part of Panel 4, "Measuring Up: How Are We Defining Success for Research Data Services?"
Presenter:
Jake Carlson, University of Michigan
This presentation was provided by Athena Hoeppner of the University of Central Florida during a NISO webinar, Providing Access: Ensuring What Libraries Have Licensed is What Users Can Reach, held on February 8, 2017
Capturing and Analyzing Publication, Citation and Usage Data for Contextual C...NASIG
Libraries have long sought to demonstrate the value of their collections through a variety of usage statistics. Traditionally, a strong emphasis is placed on high usage statistics when evaluating journals in collection development discussions. However, as budget pressures persist, administrators are increasingly concerned with looking beyond traditional usage metrics to determine the real impact of library services and collections. By examining journal usage in the context of scholarly communication, we hope to gain a more holistic understanding of the use and impact of our library’s resources. In this session, we begin by outlining our methodology for gathering comprehensive publication and citation data for authors affiliated with Northwestern University’s Feinberg School of Medicine, utilizing Web of Science as our primary data source and leveraging a custom Python script to manage the data. Using this data we discuss various potential metrics that could be employed to measure and evaluate journals in institutional and field-specific contexts, including but not limited to: number of publications and references per journal, co-citation networks, percentage of references per journal, and increases or decreases of references over time per title. We then consider the development of normalized benchmarks and criteria for creating field-specific core journal lists. We also discuss a process for establishing usage thresholds to evaluate existing journal subscriptions and to highlight potential gaps in the collection. Finally, we apply and compare these metrics to traditional collection development tools like COUNTER usage reports, cost-per-use analysis, Inter-Library Loan statistics and turnaway reports, to determine what correlations or discrepancies might exist. We finish by highlighting some use-cases which demonstrate the value of considering publication and citation metrics, and provide suggestions for incorporating these metrics into library collection development practices.
Speakers: Joelen Pastva and Jonathan Shank, Northwestern University
Project GitHub page: https://goo.gl/2C2Pcy
This presentation was provided by Carolyn Hansen of the University of Cincinnati during the NISO Training Thursday event, Metadata and the IR, held on Thursday, February 23, 2017.
Research data spring: giving researchers credit for their dataJisc RDM
This document outlines a 3-phase plan to develop a "helper app" that would streamline the process of publishing data papers by facilitating the deposit of research data into repositories and its connection to published data papers. Phase 1 involved gathering requirements and interest from repositories and publishers. Phase 2 involves developing a prototype app and building community support. Phase 3 focuses on demonstrating use cases, consolidating efforts with related projects, and planning for sustainability and expansion to additional domains. The goal is to incentivize data sharing by making it easier for researchers to get citations and publications from deposited data.
This presentation was provided by Peter Vlahakis and Dan Paskett, both of ITHAKA/JSTOR, during the NISO webinar, Tracing Discovery and Subsequent Use, held on Wednesday, December 6, 2017,
This presentation was provided by Allison Belan of Duke University Press during the NISO Webinar, Tracing Discovery and Subsequent Use, held on Wednesday, December 6, 2018.
RDAP 16: How do we know where to grow? Assessing Research Data Services at th...ASIS&T
Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Part of Panel 4, "Measuring Up: How Are We Defining Success for Research Data Services?"
Presenter:
Jake Carlson, University of Michigan
This presentation was provided by Athena Hoeppner of the University of Central Florida during a NISO webinar, Providing Access: Ensuring What Libraries Have Licensed is What Users Can Reach, held on February 8, 2017
Capturing and Analyzing Publication, Citation and Usage Data for Contextual C...NASIG
Libraries have long sought to demonstrate the value of their collections through a variety of usage statistics. Traditionally, a strong emphasis is placed on high usage statistics when evaluating journals in collection development discussions. However, as budget pressures persist, administrators are increasingly concerned with looking beyond traditional usage metrics to determine the real impact of library services and collections. By examining journal usage in the context of scholarly communication, we hope to gain a more holistic understanding of the use and impact of our library’s resources. In this session, we begin by outlining our methodology for gathering comprehensive publication and citation data for authors affiliated with Northwestern University’s Feinberg School of Medicine, utilizing Web of Science as our primary data source and leveraging a custom Python script to manage the data. Using this data we discuss various potential metrics that could be employed to measure and evaluate journals in institutional and field-specific contexts, including but not limited to: number of publications and references per journal, co-citation networks, percentage of references per journal, and increases or decreases of references over time per title. We then consider the development of normalized benchmarks and criteria for creating field-specific core journal lists. We also discuss a process for establishing usage thresholds to evaluate existing journal subscriptions and to highlight potential gaps in the collection. Finally, we apply and compare these metrics to traditional collection development tools like COUNTER usage reports, cost-per-use analysis, Inter-Library Loan statistics and turnaway reports, to determine what correlations or discrepancies might exist. We finish by highlighting some use-cases which demonstrate the value of considering publication and citation metrics, and provide suggestions for incorporating these metrics into library collection development practices.
Speakers: Joelen Pastva and Jonathan Shank, Northwestern University
Project GitHub page: https://goo.gl/2C2Pcy
This presentation was provided by Carolyn Hansen of the University of Cincinnati during the NISO Training Thursday event, Metadata and the IR, held on Thursday, February 23, 2017.
Research data spring: giving researchers credit for their dataJisc RDM
This document outlines a 3-phase plan to develop a "helper app" that would streamline the process of publishing data papers by facilitating the deposit of research data into repositories and its connection to published data papers. Phase 1 involved gathering requirements and interest from repositories and publishers. Phase 2 involves developing a prototype app and building community support. Phase 3 focuses on demonstrating use cases, consolidating efforts with related projects, and planning for sustainability and expansion to additional domains. The goal is to incentivize data sharing by making it easier for researchers to get citations and publications from deposited data.
This document summarizes the work of developing a Data Discovery Index prototype that helps users find and access shared biomedical data from various repositories. It ingests metadata from different standards and sources using ElasticSearch. It was presented at the Alan Turing Institute Symposium in April 2016. The project aims to organize data through an aggregator framework and portal. It involves mapping various metadata standards to have maximum coverage of use cases with minimal data elements. More information can be found at the listed websites.
Sharing IR Metadata with SHARE summarizes the SHARE initiative, which aims to improve access to research metadata by aggregating metadata from institutional repositories. SHARE advocates for consistent, high-quality metadata using open standards like Dublin Core and DataCite. The presentation provided information on registering an institutional repository with SHARE and guidelines for fields like authors, type, rights, publisher, and source to ensure interoperability of metadata. Contact information was provided for individuals involved with SHARE who could provide more details.
A snake, a planet, and a bear ditching spreadsheets for quick, reproducible r...NASIG
Presenter: Andrew Kelly, Cataloging & E-Resources Librarian, Paul Smith's College
This poster has two accompanying handouts: https://www.slideshare.net/NASIG/a-snake-a-planet-and-a-bear-ditching-spreadsheets-handout1 and https://www.slideshare.net/NASIG/a-snake-a-planet-and-a-bear-ditching-spreadsheets-handout2slides.
Crossref future direction - Ed Pentz - London LIVE 2017Crossref
This document discusses Crossref's strategic planning for its future direction. It identifies Crossref's distinctive competencies as being a trusted and neutral resource within scholarly communication. It outlines critical uncertainties like funding models and the rise of preprints. Core strategies include expanding services, strategic collaboration, simplifying offerings, and tracking provenance with metadata. Enabling strategies involve quality control, validation, and implementing open source. The discussion focuses on reactions to uncertainties and priorities, opportunities for Crossref, and concerns about the future.
RDAP 16: Perspective on DMPs, Funders and Public Access (Panel 5: DMPs and Pu...ASIS&T
Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Part of Panel 5, "DMPs and Public Access: Agency and Data Service Experiences"
Presenter:
Jonathan Petters, Johns Hopkins University
Panel Lead:
Margaret Henderson, Virginia Commonwealth University
This talk was provided by Brian Lowe of Ontocale SRL during the NISO Virtual Conference, Using Open Source in Your Institution, held on February 17, 2016
Ethan Pullman and Denise Novak presented on how librarians can stay informed about text mining to better support their constituents. Kristen Garlock discussed JSTOR's Data for Research service which allows researchers to generate datasets for text mining. Patricia Cleary provided an overview of Springer's text and data mining policy which allows researchers to text mine subscribed content for non-commercial research.
June 18, 2014
NISO Virtual Conference: Transforming Assessment: Alternative Metrics and Other Trends
Assessing and Reporting Research Impact – A Role for the Library
- Kristi L. Holmes, Ph.D., Director, Galter Health Sciences Library, Northwestern University, Feinberg School of Medicine
This presentation was provided by Julie Goldman of Harvard University, during part two of the NISO two-part webinar "Building Data Science Skills: Strategic Support for the Work, Part Two," which was held on March 18, 2020.
This was a joint presentation provided by Jeff Broadbent and Betty Rozum of Utah State University during a NISO webinar on Compliance with Funder Mandates, held on September 16, 2016.
An update on the latest BioSharing work; including work with ELIXIR and NIH BD2K, also our survey to assess user needs (530 replies) and the work on the recommender tool
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.
This presentation was provided by Diana Brooking of the University of Washington during the 11th Annual NISO-BISG Forum, Delivering the Integrated Information Experience, on June 23, 2017 and held at the ALA Annual Conference.
This presentation was provided by Emma Ganley of the Public Library of Science during the August 10 NISO-NASIG webinar, How Librarians Use, Support and Can Implement Researcher Identifiers.
RDAP14: Developing an RDM Educational Service Using the New England Collabora...ASIS&T
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
Regina Raboin,
Research Data Management Services Group Coordinator/Science Librarian,
Tufts University
Andrew Creamer, Project Coordinator,
University of Massachusetts Medical School
Donna Kafel, Project Coordinator,
University of Massachusetts Medical School
Elaine Martin, Library Director/NECDMC PI,
University of Massachusetts Medical School
New Initiatives - Geoffrey Bilder - London LIVE 2017Crossref
Presentation by Geoffrey Bilder at Crossref London LIVE, 26th September 2017. New initiatives at Crossref including organisational and grant identifiers.
This document discusses challenges and proposed solutions for improving data sharing, integration, and reuse in research. It outlines the current research data lifecycle and issues like a lack of linking between data and publications. A proposal is made for researchers to publish data in repositories under embargo and automatically notify funders, then link the data to publications. The document also describes efforts by organizations like FORCE11, the National Data Service, and RDA to improve data search, linking, and publishing through collaboration. Key areas discussed include electronic lab notebooks, data repositories, search, linking data to publications, and citation.
The document describes a summer institute on discovering big data held in San Diego from August 5-9, 2013. It discusses several topics related to big data in neuroscience including available resources, how to find and connect relevant information, challenges around data integration from disparate sources, and using ontologies and machine learning for tasks like data tagging.
This document summarizes the work of developing a Data Discovery Index prototype that helps users find and access shared biomedical data from various repositories. It ingests metadata from different standards and sources using ElasticSearch. It was presented at the Alan Turing Institute Symposium in April 2016. The project aims to organize data through an aggregator framework and portal. It involves mapping various metadata standards to have maximum coverage of use cases with minimal data elements. More information can be found at the listed websites.
Sharing IR Metadata with SHARE summarizes the SHARE initiative, which aims to improve access to research metadata by aggregating metadata from institutional repositories. SHARE advocates for consistent, high-quality metadata using open standards like Dublin Core and DataCite. The presentation provided information on registering an institutional repository with SHARE and guidelines for fields like authors, type, rights, publisher, and source to ensure interoperability of metadata. Contact information was provided for individuals involved with SHARE who could provide more details.
A snake, a planet, and a bear ditching spreadsheets for quick, reproducible r...NASIG
Presenter: Andrew Kelly, Cataloging & E-Resources Librarian, Paul Smith's College
This poster has two accompanying handouts: https://www.slideshare.net/NASIG/a-snake-a-planet-and-a-bear-ditching-spreadsheets-handout1 and https://www.slideshare.net/NASIG/a-snake-a-planet-and-a-bear-ditching-spreadsheets-handout2slides.
Crossref future direction - Ed Pentz - London LIVE 2017Crossref
This document discusses Crossref's strategic planning for its future direction. It identifies Crossref's distinctive competencies as being a trusted and neutral resource within scholarly communication. It outlines critical uncertainties like funding models and the rise of preprints. Core strategies include expanding services, strategic collaboration, simplifying offerings, and tracking provenance with metadata. Enabling strategies involve quality control, validation, and implementing open source. The discussion focuses on reactions to uncertainties and priorities, opportunities for Crossref, and concerns about the future.
RDAP 16: Perspective on DMPs, Funders and Public Access (Panel 5: DMPs and Pu...ASIS&T
Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Part of Panel 5, "DMPs and Public Access: Agency and Data Service Experiences"
Presenter:
Jonathan Petters, Johns Hopkins University
Panel Lead:
Margaret Henderson, Virginia Commonwealth University
This talk was provided by Brian Lowe of Ontocale SRL during the NISO Virtual Conference, Using Open Source in Your Institution, held on February 17, 2016
Ethan Pullman and Denise Novak presented on how librarians can stay informed about text mining to better support their constituents. Kristen Garlock discussed JSTOR's Data for Research service which allows researchers to generate datasets for text mining. Patricia Cleary provided an overview of Springer's text and data mining policy which allows researchers to text mine subscribed content for non-commercial research.
June 18, 2014
NISO Virtual Conference: Transforming Assessment: Alternative Metrics and Other Trends
Assessing and Reporting Research Impact – A Role for the Library
- Kristi L. Holmes, Ph.D., Director, Galter Health Sciences Library, Northwestern University, Feinberg School of Medicine
This presentation was provided by Julie Goldman of Harvard University, during part two of the NISO two-part webinar "Building Data Science Skills: Strategic Support for the Work, Part Two," which was held on March 18, 2020.
This was a joint presentation provided by Jeff Broadbent and Betty Rozum of Utah State University during a NISO webinar on Compliance with Funder Mandates, held on September 16, 2016.
An update on the latest BioSharing work; including work with ELIXIR and NIH BD2K, also our survey to assess user needs (530 replies) and the work on the recommender tool
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.
This presentation was provided by Diana Brooking of the University of Washington during the 11th Annual NISO-BISG Forum, Delivering the Integrated Information Experience, on June 23, 2017 and held at the ALA Annual Conference.
This presentation was provided by Emma Ganley of the Public Library of Science during the August 10 NISO-NASIG webinar, How Librarians Use, Support and Can Implement Researcher Identifiers.
RDAP14: Developing an RDM Educational Service Using the New England Collabora...ASIS&T
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
Regina Raboin,
Research Data Management Services Group Coordinator/Science Librarian,
Tufts University
Andrew Creamer, Project Coordinator,
University of Massachusetts Medical School
Donna Kafel, Project Coordinator,
University of Massachusetts Medical School
Elaine Martin, Library Director/NECDMC PI,
University of Massachusetts Medical School
New Initiatives - Geoffrey Bilder - London LIVE 2017Crossref
Presentation by Geoffrey Bilder at Crossref London LIVE, 26th September 2017. New initiatives at Crossref including organisational and grant identifiers.
This document discusses challenges and proposed solutions for improving data sharing, integration, and reuse in research. It outlines the current research data lifecycle and issues like a lack of linking between data and publications. A proposal is made for researchers to publish data in repositories under embargo and automatically notify funders, then link the data to publications. The document also describes efforts by organizations like FORCE11, the National Data Service, and RDA to improve data search, linking, and publishing through collaboration. Key areas discussed include electronic lab notebooks, data repositories, search, linking data to publications, and citation.
The document describes a summer institute on discovering big data held in San Diego from August 5-9, 2013. It discusses several topics related to big data in neuroscience including available resources, how to find and connect relevant information, challenges around data integration from disparate sources, and using ontologies and machine learning for tasks like data tagging.
bioCADDIE Webinar: The NIDDK Information Network (dkNET) - A Community Resear...dkNET
dkNET provides a single portal for discovering over 3,500 biomedical research resources and datasets. It aims to make these resources findable, accessible, interoperable, and reusable in accordance with the FAIR principles. The portal contains three main sections for browsing community resources, additional resources, and literature. It utilizes faceted searching and provides analytics and notifications to help users track changes to resources over time.
This document discusses challenges around scholarly data, including fragmented and poorly described data. It emphasizes the importance of experimental details, data availability, and data publication for reproducibility. Springer Nature's Scientific Data is highlighted as a new open-access journal for detailed data descriptors. The Scientific Data ISA-explorer is presented as a web application for discovering, exploring and visualizing data descriptors.
On community-standards, data curation and scholarly communication - BITS, Ita...Susanna-Assunta Sansone
The document discusses the vision of a "connected digital research enterprise" where researchers can more easily find and collaborate with others based on shared data and outputs. It describes a scenario where Researcher X discovers commonalities in data with Researcher Y, views Y's datasets and publications, and initiates a collaboration. Their joint work is captured and indexed, and a company utilizes some of the outputs while providing funding back to the researchers. The vision aims to more closely connect scientific work through shared digital resources.
This presentation was provided by Libbie Stephenson, UCLA Social Science Data Archive, during a NISO Virtual Conference on the topic of data curation, held on Wednesday, August 31, 2016
Oxford DTP - Sansone - Data publications and Scientific Data - Dec 2014Susanna-Assunta Sansone
- The document discusses the need for open and accessible data in research. It notes that over 50% of studies are not published due to selective reporting of results.
- There is a movement for "FAIR data" in life and medical sciences, where data is findable, accessible, interoperable, and reusable. However, not much data currently meets these standards.
- Publishers can play a role in incentivizing data sharing by implementing policies requiring data availability and format standards for publishing research. This includes supporting data citations and data journals.
This presentation was provided by Daniella Lowenberg of the California Digital Library during the NISO Virtual Conference, Advancing Altmetrics, held on Wednesday, December 13, 2017.
NSF Workshop Data and Software Citation, 6-7 June 2016, Boston USA, Software Panel
FIndable, Accessible, Interoperable, Reusable Software and Data Citation: Europe, Research Objects, and BioSchemas.org
A Deep Survey of the Digital Resource Landscape:Perspectives from the Neuros...Maryann Martone
The NIF Registry provides insight into the state of digital neuroscience resources on the web. It has cataloged over 6,000 resources, including more than 2,200 databases. While some resources disappear over time, many more grow stale as they are not updated regularly. Maintaining an up-to-date registry requires frequent updates. The NIF data federation can search over 200 databases containing over 1 billion records. This collection continues to grow as new databases are added. The NIF utilizes ontologies and semantic frameworks to integrate data across diverse sources and provide insights into the neuroscience landscape.
SciDataCon 2014 Data Papers and their applications workshop - NPG Scientific ...Susanna-Assunta Sansone
Part of the SciDataCon14 workshop on "Data Papers and their applications" run by myself and Brian Hole to help attendees understand current data-publishing journals and trends and help them understand the editorial processes on NPG's Scientific Data and Ubiquity's Open Health Data.
Project MILDRED: Charting Ground for Research Data Management Services at Uni...Mari Elisa Kuusniemi
Introduction: This paper describes a topical case study conducted at University of Helsinki. Current states of research data management (RDM) practices within the academic community have been under close scrutiny during summer 2016 in Project MILDRED, Development Project of Research Data Infrastructure at University of Helsinki (UH).
This document discusses the need to make research data more discoverable and usable by connecting disparate data through metadata. Currently, the majority of research data is stored in isolated locations like personal hard drives, resulting in lost opportunities for analysis across experiments. The document advocates for culture change where researchers curate and share their data in centralized repositories to enable new insights from aggregating and comparing data in connected ways. This would help address challenges like variability between specimens and complexity in living systems that reductionist approaches cannot capture alone. Ensuring long-term sustainability of data repositories and defining roles for libraries and institutions are also discussed.
Isni behind the scenes gatenby nadav manes harvard 201411Janifer Gatenby
This document discusses ISNI's CBS software which powers the ISNI database. It covers how the software handles searching, updating, loading data, and providing utilities. Key features include matching algorithms, linked data representations, batch loading of data from various sources, and tools for searching, resolving matches, and editing records online or through APIs.
This document provides an overview of resources available through the Inter-University Consortium for Political and Social Research (ICPSR) for finding, analyzing, and using social science data. It describes how to search for data using keywords or browse by topic, and how to filter search results. It also notes that data can be found through external search engines like ISI Web of Science or Data.gov. The document reviews the study home page and available documentation files. It explains how to download files or analyze data online. Finally, it lists some other ICPSR tools like a bibliography of data-related literature and specialty archives/thematic collections.
Managing, Sharing and Curating Your Research Data in a Digital Environmentphilipdurbin
This document discusses research data management and curation. It describes how data sharing has increased as open science mandates have promoted data availability. Research data is now often shared alongside research articles through bi-directional linking. Self-curation repositories are being developed to help researchers publish and share their data. The benefits of open access include increased visibility, new discoveries through wider collaboration, and compliance with funder mandates. Key requirements for open data include availability, access, redistribution and reuse. Dataverse is presented as a solution for research data management that facilitates data sharing, preservation, citation, exploration and analysis. It issues persistent identifiers and supports various data formats and protocols. Challenges of data management include meaningful aggregation, privacy concerns
FAIR for the future: embracing all things dataARDC
FAIR for the future: embracing all things data - Natasha Simons, Keith Russell and Liz Stokes, presented at Taylor & Francis Scholarly Summits in Sydney 11 Feb 2019 and Melbourne 14 Feb 2019.
Engaging Information Professionals in the Process of Authoritative Interlinki...Lucy McKenna
Through the use of Linked Data (LD), Libraries, Archives and Museums (LAMs) have the potential to expose their collections to a larger audience and to allow for more efficient user searches. Despite this, relatively few LAMs have invested in LD projects and the majority of these display limited interlinking across datasets and institutions. A survey was conducted to understand Information Professionals' (IPs') position with regards to LD, with a particular focus on the interlinking problem. The survey was completed by 185 librarians, archivists, metadata cataloguers and researchers. Results indicated that, when interlinking, IPs find the process of ontology and property selection to be particularly challenging, and LD tooling to be technologically complex and unsuitable for their needs.
Our research is focused on developing an authoritative interlinking framework for LAMs with a view to increasing IP engagement in the linking process. Our framework will provide a set of standards to facilitate IPs in the selection of link types, specifically when linking local resources to authorities. The framework will include guidelines for authority, ontology and property selection, and for adding provenance data. A user-interface will be developed which will direct IPs through the resource interlinking process as per our framework. Although there are existing tools in this domain, our framework differs in that it will be designed with the needs and expertise of IPs in mind. This will be achieved by involving IPs in the design and evaluation of the framework. A mock-up of the interface has already been tested and adjustments have been made based on results. We are currently working on developing a minimal viable product so as to allow for further testing of the framework. We will present our updated framework, interface, and proposed interlinking solutions.
This presentation was provided by Toby Green of Coherent Digital, during the NISO hot topic virtual conference "Open Research." The event was held on November 17, 2021.
Similar to Varnum Tracking Link Origins Working Group (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.
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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.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
1. Tracing Discovery & Subsequent Use: Harvesting and Analyzing the Data 6 December 2017
Tracking Link Origins
Working Group
It’s Complicated
Ken Varnum // @varnum
Co-Chair, NISO Tracking Link Origins Working Group
Senior Program Manager, University of Michigan Library
Tracing Discovery & Subsequent Use:
Harvesting and Analyzing the Data
6 December 2017
2. Tracing Discovery & Subsequent Use: Harvesting and Analyzing the Data 6 December 2017
Tracking Link Origins Working Group
Charged in September 2016 to:
! Investigate effective and scalable options to allow the content host and
individual libraries to determine the original source of the link;
! Provide all parties in the information supply chain with guidance on how to
implement the recommended solutions; and
! Provide content hosts with information on how to leverage the proposed
solution to obtain more accurate statistics on the source of traffic to their
site so that they can more accurately assess the value and effectiveness of their
various discovery partners.
http://www.niso.org/workrooms/linkorigins
3. Tracing Discovery & Subsequent Use: Harvesting and Analyzing the Data 6 December 2017
Nasreen Arain - Taylor and Francis
Sacha Arnold - Innovative Interfaces, Inc.
Jacques Doux - Elsevier
Cristian Dumitrescu - OCLC
Michael Fernandez - American University Library
Theodora Hein - ITHAKA
Paul Jessop - International DOI Foundation (IDF)
Chuck Koscher - Crossref
Nettie Lagace - NISO (non-voting)
Eddie Neuwirth - ProQuest
Membership
Gary Pollack - EBSCO Information Services
Danielle Reisch - John Wiley & Sons, Ltd.
Emily Singley - Boston College Libraries
Mike Sollars - Cengage Learning
Matthew Treskon - Loyola Notre Dame Library
Robert Tupelo-Schneck - Corporation for National
Research Initiatives (CNRI
Ken Varnum - University of Michigan Library
Peter Vlahakis - ITHAKA/JSTOR/Portico
Stephanie Wical - Boston University
Julie Zhu - IEEE
Bold -- Co-chair. Italic -- former member.
4. Tracing Discovery & Subsequent Use: Harvesting and Analyzing the Data 6 December 2017
Process: Data Flow Drafting
! Knowledge of Team Members
! Data Flow Drafting
! Data Flow Survey
5. Tracing Discovery & Subsequent Use: Harvesting and Analyzing the Data 6 December 2017
Generic Data Flow Survey
6. Tracing Discovery & Subsequent Use: Harvesting and Analyzing the Data 6 December 2017
Institution-Specific Data Flow
7. Tracing Discovery & Subsequent Use: Harvesting and Analyzing the Data 6 December 2017
Broad findings
! Discovery Platforms: 80% of libraries were using one of EDS, Primo,
Summon, WorldCat Discovery/WorldCat Local, or Encore
! Link Resolver: 83% of libraries were using one of EBSCO, 360Link, SFX,
Alma, or WorldCat
! Proxy: 84% of libraries were using EZProxy
! Authentication confused with authorization
Survey
8. Tracing Discovery & Subsequent Use: Harvesting and Analyzing the Data 6 December 2017
Discovery Service & Link Resolver Pairs
9. Tracing Discovery & Subsequent Use: Harvesting and Analyzing the Data 6 December 2017
Discovery Service & Proxy Server Pairs
10. Tracing Discovery & Subsequent Use: Harvesting and Analyzing the Data 6 December 2017
Common Challenges
! Referring URLs are extremely “brittle” and easy for outside actors to
compromise
! HTTPS to HTTP links
! Authentication interrupts referrer chain
! Thousands of sources, thousands of destinations, handful of intermediaries
! Challenging to envision a universal approach
11. Tracing Discovery & Subsequent Use: Harvesting and Analyzing the Data 6 December 2017
Thank You
Ken Varnum
Co-Chair
NISO Tracking Link Origins Working Group
Senior Program Manager
University of Michigan Library
varnum@umich.edu