Assessing Digital Output in New Ways
Mike Taylor, Research Specialist, Elsevier Labs
Presented during NISO/BISG 8th Annual Changing Standards Landscape on June 27, 2014
an introductory course for Librarians on using Big Data and Data Science applications on the field of Library Science. The course is a 2 hour course module for basic fundamentals of applying DS work.
RDAP 16: Sustainability of data infrastructure: The history of science scienc...ASIS&T
Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Part of Panel 2, Sustainability
Presenter:
Kristin Eschenfelder, University of Wisconsin-Madison
Panel Leads:
Kristin Briney, University of Wisconsin-Milwaukee & Erica Johns, Cornell University
With big data research all the rage, how are librarians being asked to engage with data? As big data research takes off across Business, Science, and the Humanities, librarians need to understand big data and the issues around its storage and curation. How can it be made accessible? What tools and resources are required to use and analyze big data? In this webinar, panelists Caroline Muglia and Jill Parchuck share how big data is being used on their campuses and how they, as librarians, are supporting the sourcing and storage of this data.
ESIP Federation: Community-Driven, Collaborative Governance - Carol Beaton Me...ASIS&T
ESIP Federation: Community-Driven, Collaborative Governance
Carol Beaton Meyer
Presentation at Research Data Access & Preservation Summit
22 March 2012
This presentation was provided by Mike Taylor of Digital Science during the NISO Virtual Conference, Advancing Altmetrics, held on Wednesday, December 13, 2017.
Agencies such as the NSF and NIH require data management plans as part of research proposals and the Office of Science and Technology Policy (OSTP) is requiring federal agencies to develop plans to increase public access to results of federally funded scientific research. These slides explore sustainable data sharing models, including models for sharing restricted-use data. Demos of these models and tips for accessing public data access services are provided as well as resources for creating data management plans for grant applications.
Instructional Data Sets from Q-step Launch Event (Univ of Exeter) 3-20-2014ICPSR
Presentation about using social science data in the classroom and creating (and finding) resources with which to do it. Addresses both substantive courses and research methods/statistics courses.
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.
an introductory course for Librarians on using Big Data and Data Science applications on the field of Library Science. The course is a 2 hour course module for basic fundamentals of applying DS work.
RDAP 16: Sustainability of data infrastructure: The history of science scienc...ASIS&T
Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Part of Panel 2, Sustainability
Presenter:
Kristin Eschenfelder, University of Wisconsin-Madison
Panel Leads:
Kristin Briney, University of Wisconsin-Milwaukee & Erica Johns, Cornell University
With big data research all the rage, how are librarians being asked to engage with data? As big data research takes off across Business, Science, and the Humanities, librarians need to understand big data and the issues around its storage and curation. How can it be made accessible? What tools and resources are required to use and analyze big data? In this webinar, panelists Caroline Muglia and Jill Parchuck share how big data is being used on their campuses and how they, as librarians, are supporting the sourcing and storage of this data.
ESIP Federation: Community-Driven, Collaborative Governance - Carol Beaton Me...ASIS&T
ESIP Federation: Community-Driven, Collaborative Governance
Carol Beaton Meyer
Presentation at Research Data Access & Preservation Summit
22 March 2012
This presentation was provided by Mike Taylor of Digital Science during the NISO Virtual Conference, Advancing Altmetrics, held on Wednesday, December 13, 2017.
Agencies such as the NSF and NIH require data management plans as part of research proposals and the Office of Science and Technology Policy (OSTP) is requiring federal agencies to develop plans to increase public access to results of federally funded scientific research. These slides explore sustainable data sharing models, including models for sharing restricted-use data. Demos of these models and tips for accessing public data access services are provided as well as resources for creating data management plans for grant applications.
Instructional Data Sets from Q-step Launch Event (Univ of Exeter) 3-20-2014ICPSR
Presentation about using social science data in the classroom and creating (and finding) resources with which to do it. Addresses both substantive courses and research methods/statistics courses.
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.
Understanding ICPSR - An Orientation and Tours of ICPSR Data Services and Edu...ICPSR
This is ICPSR's core workshop deck designed to introduce, remind, and refresh your knowledge of ICPSR. It contains four "tours" or sub-presentations describing ICPSR's general reason for being, it's social and behavioral research data complete with search strategies, its training, educational, and instructional resources, and its data management and curation services, data repository options, and support resources (content and budget estimates) for those writing grant proposals.
Slides | Research data literacy and the libraryColleen DeLory
Slides from the Dec. 8, 2016 Library Connect webinar "Research data literacy and the library" with Sarah Wright, Christian Lauersen and Anita de Waard. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=226043
This is an update on the status of federal requirements for data sharing in 2015. These slides were presented at ACRL in Portland in March 2015, by Linda Detterman and Jared Lyle of ICPSR, based at the University of Michigan. The session includes overviews of federal requirements, data curation, data management plans, data sharing services, and lots of fun!
This presentation was provided by William Gunn of Elsevier during the NISO Virtual Conference, Advancing Altmetrics, held on Wednesday, December 13, 2017.
This presentation was provided by Stacy Konkiel of Altmetric during the NISO Virtual Conference, Advancing Altmetrics, held on Wednesday, December 13, 2017.
Invited talk on "why altmetrics?" at the information day "Bibliometrics, Scientometrics & Alternative metrics: which tools for which strategies?”, Association des directeurs et personnels de direction des bibliothèques universitaires et de la documentation (ADBU), 1st April 2015, BULAC, France (Paris)
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.
Research Data Management in Academic Libraries: Meeting the ChallengeSpencer Keralis
TLA Program Committee sponsored Preconference talk from Texas Library Association Conference 2013.
CPE#388: SBEC 1.0; TSLAC 1.0
April 24, 2013; 4:00 -4:50 pm
Managing research data is a hot topic in academic libraries. With increased government oversight of publicly-funded research projects, librarians must strive to meet the demand for innovative solutions for managing research information and training the new eneration of librarians to address this issue.
Intervention de Rodrigo Costas Comesaña, chercheur , CWTS, Université de Leiden, lors de la cinquième journée nationale du Réseau des URFIST : Nouvelles formes de communication et d’évaluation scientifiques : perspectives et légitimités (le 25 septembre 2014)
Slides | Targeting the librarian’s role in research servicesLibrary_Connect
Slides from the Nov. 8, 2016 Library Connect webinar "Targeting the librarian’s role in research services" with Nina Exner, Amanda Horsman and Mark Reed. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=223121
This presentation was provided by Glenn Hampson of Open Scholarship Initiative, during the NISO hot topic virtual conference "Open Research." The event was held on November 17, 2021.
Meeting Federal Research Requirements for Data Management Plans, Public Acces...ICPSR
These slides cover evolving federal research requirements for sharing scientific data. Provided are updates on federal agency responses to the 2013 OSTP memo, guidance on data management plans, resources for data management and curation training for staff/researchers, and tips for evaluating public data-sharing services. ICPSR's public data-sharing service, openICPSR, is also presented. Recording of this presentation is here: https://www.youtube.com/watch?v=2_erMkASSv4&feature=youtu.be
This presentation was provided by Melissa Levine of the University of Michigan during a NISO Virtual Conference on the topic of data curation, held on Wednesday, August 31, 2016
Data Sharing with ICPSR: Fueling the Cycle of Science through Discovery, Acce...ICPSR
Data Sharing with ICPSR was presented at IASSIST 2015 in Minneapolis, MN.
The learning objectives and content cover:
- Federal data sharing requirements and
other good reasons to share data
• Options for sharing data
• Protection of confidentiality when
sharing data
• Data discovery tools
• Online data exploration tools from ICPSR
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
ALTMETRICS : A HASTY PEEP INTO NEW SCHOLARLY MEASUREMENTSaptarshi Ghosh
The term ‘Altmetrics’ was proposed by Jason Priem, a PhD student at the School of Information and Library Science at University of North Carolina, Chapel Hill through a tweet. [https://twitter.com/asnpriem/status/25844968813].
Altmetrics is the combination of two words such as: ‘Alternative’ and ‘Metrics’ in which the ‘alt-‘part refers to alternative types of metrics (that is alternative to traditional metrics such as citation analysis, impact factor, downloads & usage data etc.).
Altmetrics is the creation and study of new metrics based on the Social Web for analyzing, and informing scholarship (http://altmetrics.org/about/). It is the study of new indicators for the analysis of academic activity based on Web 2.0.
Understanding ICPSR - An Orientation and Tours of ICPSR Data Services and Edu...ICPSR
This is ICPSR's core workshop deck designed to introduce, remind, and refresh your knowledge of ICPSR. It contains four "tours" or sub-presentations describing ICPSR's general reason for being, it's social and behavioral research data complete with search strategies, its training, educational, and instructional resources, and its data management and curation services, data repository options, and support resources (content and budget estimates) for those writing grant proposals.
Slides | Research data literacy and the libraryColleen DeLory
Slides from the Dec. 8, 2016 Library Connect webinar "Research data literacy and the library" with Sarah Wright, Christian Lauersen and Anita de Waard. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=226043
This is an update on the status of federal requirements for data sharing in 2015. These slides were presented at ACRL in Portland in March 2015, by Linda Detterman and Jared Lyle of ICPSR, based at the University of Michigan. The session includes overviews of federal requirements, data curation, data management plans, data sharing services, and lots of fun!
This presentation was provided by William Gunn of Elsevier during the NISO Virtual Conference, Advancing Altmetrics, held on Wednesday, December 13, 2017.
This presentation was provided by Stacy Konkiel of Altmetric during the NISO Virtual Conference, Advancing Altmetrics, held on Wednesday, December 13, 2017.
Invited talk on "why altmetrics?" at the information day "Bibliometrics, Scientometrics & Alternative metrics: which tools for which strategies?”, Association des directeurs et personnels de direction des bibliothèques universitaires et de la documentation (ADBU), 1st April 2015, BULAC, France (Paris)
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.
Research Data Management in Academic Libraries: Meeting the ChallengeSpencer Keralis
TLA Program Committee sponsored Preconference talk from Texas Library Association Conference 2013.
CPE#388: SBEC 1.0; TSLAC 1.0
April 24, 2013; 4:00 -4:50 pm
Managing research data is a hot topic in academic libraries. With increased government oversight of publicly-funded research projects, librarians must strive to meet the demand for innovative solutions for managing research information and training the new eneration of librarians to address this issue.
Intervention de Rodrigo Costas Comesaña, chercheur , CWTS, Université de Leiden, lors de la cinquième journée nationale du Réseau des URFIST : Nouvelles formes de communication et d’évaluation scientifiques : perspectives et légitimités (le 25 septembre 2014)
Slides | Targeting the librarian’s role in research servicesLibrary_Connect
Slides from the Nov. 8, 2016 Library Connect webinar "Targeting the librarian’s role in research services" with Nina Exner, Amanda Horsman and Mark Reed. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=223121
This presentation was provided by Glenn Hampson of Open Scholarship Initiative, during the NISO hot topic virtual conference "Open Research." The event was held on November 17, 2021.
Meeting Federal Research Requirements for Data Management Plans, Public Acces...ICPSR
These slides cover evolving federal research requirements for sharing scientific data. Provided are updates on federal agency responses to the 2013 OSTP memo, guidance on data management plans, resources for data management and curation training for staff/researchers, and tips for evaluating public data-sharing services. ICPSR's public data-sharing service, openICPSR, is also presented. Recording of this presentation is here: https://www.youtube.com/watch?v=2_erMkASSv4&feature=youtu.be
This presentation was provided by Melissa Levine of the University of Michigan during a NISO Virtual Conference on the topic of data curation, held on Wednesday, August 31, 2016
Data Sharing with ICPSR: Fueling the Cycle of Science through Discovery, Acce...ICPSR
Data Sharing with ICPSR was presented at IASSIST 2015 in Minneapolis, MN.
The learning objectives and content cover:
- Federal data sharing requirements and
other good reasons to share data
• Options for sharing data
• Protection of confidentiality when
sharing data
• Data discovery tools
• Online data exploration tools from ICPSR
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
ALTMETRICS : A HASTY PEEP INTO NEW SCHOLARLY MEASUREMENTSaptarshi Ghosh
The term ‘Altmetrics’ was proposed by Jason Priem, a PhD student at the School of Information and Library Science at University of North Carolina, Chapel Hill through a tweet. [https://twitter.com/asnpriem/status/25844968813].
Altmetrics is the combination of two words such as: ‘Alternative’ and ‘Metrics’ in which the ‘alt-‘part refers to alternative types of metrics (that is alternative to traditional metrics such as citation analysis, impact factor, downloads & usage data etc.).
Altmetrics is the creation and study of new metrics based on the Social Web for analyzing, and informing scholarship (http://altmetrics.org/about/). It is the study of new indicators for the analysis of academic activity based on Web 2.0.
LITA’s Altmetrics and Digital Analytics Interest Group is proud to present Heather Coates, Richard Naples, and Lauren Collister in our second free webinar of the season. Heather will introduce the concept of altmetrics with a quick "Altmetrics 101," Richard will discuss the Smithsonian's implementation of Altmetric, and Lauren will share the University of Pittsburgh's experience with Plum Analytics.
Modern research metrics and new models of evaluation have risen high on the academic agenda in the last few years. In this session two UK institutions who have adopted such metrics across their faculty will share their motivations and experiences of doing so, and explain further how they are integrating these data into existing models of review and analysis.
Research Data Sharing and Re-Use: Practical Implications for Data Citation Pr...SC CTSI at USC and CHLA
Date: Apr 4, 2018
Speaker: Hyoungjoo Park, PhD candidate, School of Information Studies, University of Wisconsin-Milwaukee, and Dietmar Wolfram, PhD
Overview: It is increasingly common for researchers to make their data freely available. This is often a requirement of funding agencies but also consistent with the principles of open science, according to which all research data should be shared and made available for reuse. Once data is reused, the researchers who have provided access to it should be acknowledged for their contributions, much as authors are recognised for their publications through citation. Hyoungjoo Park and Dietmar Wolfram have studied characteristics of data sharing, reuse, and citation and found that current data citation practices do not yet benefit data sharers, with little or no consistency in their format. More formalised citation practices might encourage more authors to make their data available for reuse.
Introduction to Altmetrics for Medical and Special LibrariansLinda Galloway
Altmetrics (or alternative citation metrics) provide new ways to track scholarly influence across a wide range of media and platforms. This presentation covers altmetric fundamentals, tips on connecting your users with altmetrics, and an overview of newly published research. Presented as part of the NN/LM MAR Boost Box Series; http://nnlm.gov/mar/training/boost_mar2014.pdf
Altmetrics: the movement, the tools, and the implicationsKR_Barker
The October 2015 iteration of the class created and taught by Andrea Denton and Kimberley R. Barker, both of the UVA Claude Moore Health Sciences Library.
Altmetrics: the movement, the tools, and the implicationsKR_Barker
Measuring scholarly impact has traditionally been tied to the calculation of a scholarly article’s number of citations and the Impact Factor of its journal. Today, however, scholarly contributions take many forms: computer code, data sets, blog postings, tweets, practice guidelines and beyond. As the products of research evolve, so will the way in which credit is measured. This class will provide an overview of “altmetrics”, the movement to assess influence of both traditional and non-traditional scholarly contributions. We will define altmetrics, discuss why it is important in today’s digital scholarly environment, and demonstrate tools available to measure influence. After completing this course, the learner will be able to define altmetrics and compare it to traditional forms of measuring scholarly impact; name examples of scholarly contributions that are alternatives to traditional methods (e.g. datasets, blog postings, tweets, etc.); name examples of alternative means of measuring scholarly contributions (e.g. download counts, tweets about, etc.); discuss why today’s online, social environment necessitates a change in the way scholarly contributions are measured; name resources to learn more about altmetrics such as altmetrics.org; and name tools to measure alternative scholarly contributions such as Altmetric.com, Impact Story, Plum Analytics, etc.
Lecture on "Altmetrics: An Alternative View-Point to Assess Research Impact" in Five days Advanced Training Programme on Bibliometrics and Research Output Analysis during 15th - 20th June, 2015 at INFLIBNET Centre, Gandhinagar.
This presentation was provided by Holly Falk-Krzesinski of Elsevier during the NISO event, "Is This Still Working? Incentives to Publish, Metrics, and New Reward Systems," held on February 20, 2019.
Seminar for LERN, Legal Education Research Network, UK, @ IALS, 28 Jan 2015, on the use of new media tools and the need for digital research literacies in legal education research.
Working with Social Media Data: Ethics & good practice around collecting, usi...Nicola Osborne
Slides from a workshop delivered for the University of Edinburgh Digital Scholarship programme, on 18th October 2017. For further information on the programme see: http://www.digital.cahss.ed.ac.uk/ or #DigScholEd. If you are interested in hosting a similar workshop, or adapting these slides please contact me: nicola.osborne@ed.ac.uk.
NISO Two Day Virtual Conference:
Using the Web as an E-Content Distribution Platform:
Challenges and Opportunities
Oct 21-22, 2014
Maryann Martone, Ph.D., Professor of Neuroscience, University of California, San Diego
Librarians & altmetrics: Tools, tips and use casesLibrary_Connect
Altmetrics are becoming an integral part of looking at the impact and reach of research. Tracking social and online outlets, altmetrics provide quick feedback from a wide range of sources. In this webinar, library experts will discuss how altmetrics work, tools available, and the application of altmetrics in a range of institutions and for various user groups. Watch the webinar: http://ow.ly/vNeax
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.
This presentation was provided by Rhonda Ross of CAS, a division of the American Chemical Society, and Jonathan Clark of the International DOI Foundation, during the NISO webinar on "Strategic Planning." The event was held virtually on November 8, 2023.
This presentation was provided by William Mattingly of the Smithsonian Institution, for the fourth session of NISO's 2023 Training Series on Text and Data Mining. Session four, "Data Mining Techniques" was held on Thursday, November 2, 2023.
This presentation was provided by Tiffany Straza of UNESCO, during the two-day "NISO Tech Summit: Reflections Upon The Year of Open Science." Day two was held on October 26, 2023.
More from National Information Standards Organization (NISO) (20)
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
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.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
GIÁO ÁN DẠY THÊM (KẾ HOẠCH BÀI BUỔI 2) - TIẾNG ANH 8 GLOBAL SUCCESS (2 CỘT) N...
Assessing Digital Output in New Ways
1. Assessing Digital Output in
New Ways
Mike Taylor
Research Specialist
http://orcid.org/0000-0002-8534-5985
mi.taylor@elsevier.com
2. Looking at emerging alternative metrics for
measuring author impact and usage data, this
presentation will focus on methods for capturing
more granular data around researchers and
topics, including new assessment tools, usage
data sets, and understanding how that impacts
overall author contributions and understanding.
3. • Alternative metrics, altmetrics, article data,
usage data, assessments, metrics, impact,
understanding, attention, reach…
• If this seems confusing…
• Altmetrics is at the big bang stage – this
universe has not yet cooled down and
coalesced
Some words on terms
4. • A set of altmetric data is about a common document
and represents usage, recommendation, shares, re-
usage
• Identified by DOI, URL, ID
• It does not show common intent: a tweet is not the
same as a Mendeley share is not the same as a Data
Dryad data download is not the same as mass media
coverage or a blog
• Although I talk about journals, articles data, this data
can be derived from any digital output
• Books, conference presentations, policy papers,
patents
What is the data?
5. Metrics are an interpretive layer derived from
this data
• Usage
• Attention
• Engagement
• Scholarly impact
• Social impact
What are metrics?
6. • Altmetric.com
• Plum Analytics
• PLOS / PLOS code
• GrowKudos
• Impactstory.org
• Altmetrics is not Altmetric.com
Each has strengths and weaknesses,
no canonical source
Various providers…
7. • Altmetrics isn’t one thing, so attempting to
express it as one thing will fail.
• Elsevier (and others) favour intelligent clusters
of data: social activity, mass media, scholarly
activity, scholarly comment, re-use
• Elsevier believes that more research is needed,
and that best indicators for scholarly impact
are scholarly activity and scholarly comment
Bringing together sources…
8. Example from 13,500 papers:
• Highly tweeted stories focus on policy, gender,
funding, ‘contentious science’ issues, mostly
summaries on Nature News
• Highly shared papers in Mendeley are hard core
original research
• Different platforms have discipline bias
• Scholarly blogs both lead interest and respond
• Data from Altmetric.com
Different data have different
characteristics
9. • Communities have to agree to agree
• Innovation and co-operation
• When adapting metrics from data, there
needs to be broad consensus that what we say
we’re measuring is what’s being measured
• We need to reflect and adapt
The importance of openness
10. • If people take this data seriously, will they cheat?
• Eg, Brazilian citation scandal, strategies used by people
to increase IF of journals
• Expertise in detecting fraudulent downloads (eg, SSRN),
self-tweeting – when is ‘normal’ corrupt?
• One thing to buy 1000 tweets, another to buy 10 blogs,
or mass media coverage
• Do those twitter accounts have scholarly followers?
• Pattern analysis, usage analysis, network analysis
• Public data = public analysis = public response
Gaming / cheating
11. • Biggest criticisms are when people try and
conflate all the data into a single thing
• Easy point of attack – tweets are all about “sex
and drugs and rock ‘n’ roll papers”*
• Using clusters is more intelligible to academic
community – eg, re-use, scholarly activity,
scholarly comment (blogs, reviews,
discussions)
• * this isn’t true anyway
Other criticisms
12. • Altmetrics has got where it is today on the
basis of standards
• Without ISSNs and DOIs, the world is a harder
place x 1000
• Elsevier is supporting research to discover
scholarly impact in areas that don’t use DOIs
• (Other standards exist: PubMed IDs, Arxiv IDs)
Making altmetrics work
13. • Increasingly, we’re seeing altmetrics being
used to describe objects other than articles,
but also institutions, journals, data and
people
• For institutions, Snowball Metrics has recently
adopted the same formulation for grouping
altmetrics as Elsevier
(www.snowballmetrics.com)
Expanding views of altmetrics
14. • More funders are insisting on open data
• And the way to understand whether its being
used … is data metrics – combining altmetrics
and traditional (web-o-)metrics
• Downloads, citations, shares, re-uses…
• Downside: data repository is fragmented,
600+ repositories registered at databib.org
• Upside: Datacite, ODIN, ORCID, DOI, RDA,
Draft Declaration of Data Citation Principles
Making data count
15. • Governments don’t operate like scholars
• Rhetoric, argument, polemics
• Personal reputation is important
• Laws don’t contain citations
• The relationship is fuzzy – less a chain of
evidence, more a miasma of influence
• Elsevier is sponsoring work to understand this
relationship
Measuring the effect of research on
society
16. • Standards are vital to altmetrics
• NISO is involved in shaping the conversation
around what implicit standards need to be
developed
• (My example) – is a retweet the same as a
tweet, do we count replies or favourites? And
how about modified tweets, conversations?
Shaping communications
17. • www.niso.org
• Comments requested until July 18th
• End of stage 1
• Some of the observations:
NISO’s White Paper
1. Develop specific definitions for alternative assessment metrics.
2. Agree on proper usage of the term “Altmetrics,” or on using a different term.
3. Define subcategories for alternative assessment metrics, as needed.
4. Identify research output types that are applicable to the use of metrics.
5. Define relationships between different research outputs and develop metrics
for this aggregated model.
18. 6. Define appropriate metrics and calculation methodologies for specific output types, such as software,
datasets, or performances.
7. Agree on main use cases for alternative assessment metrics and develop a needs-assessment based
on those use cases.
8. Develop statement about role of alternative assessment metrics in research evaluation.
9. Identify specific scenarios for the use of altmetrics in research evaluation (e.g., research data, social
impact) and what gaps exist in data collection around these scenarios.
10. Promote and facilitate use of persistent identifiers in scholarly communications.
11. Research issues surrounding the reproducibility of metrics across providers.
12. Develop strategies to improve data quality through normalization of source data across providers.
13. Explore creation of standardized APIs or download or exchange formats to facilitate data gathering.
14. Develop strategies to increase trust, e.g., openly available data, audits, or a clearinghouse.
15. Study potential strategies for defining and identifying systematic gaming.
16. Identify best practices for grouping and aggregating multiple data sources.
17. Identify best practices for grouping and aggregation by journal, author, institution, and funder.
18. Define and promote the use of contributorship roles.
19. Establish a context and normalization strategy over time, by discipline, country, etc.
20. Describe how the main use cases apply to and are valuable to the different stakeholder groups.
21. Identify best practices for identifying contributor categories (e.g., scholars vs. general public).
22. Identify organizations to include in further discussions.
23. Identify existing standards that need to be applied in the context of further discussions.
24. Identify and prioritize further activities.
25. Clarify researcher strategy (e.g., driven by researcher uptake vs. mandates by funders and
institutions).
19. • Use DOIs when you communicate
• Use ORCIDs
• Develop, deploy and document APIs
• (that use DOIs, that use ORCIDs)
• Tell the world about your #altmetrics
Your role in improving the (altmetrics)
world