This document summarizes recent federal mandates requiring open access to publications and data resulting from federally funded scientific research. It discusses a 2013 White House memo requiring federal agencies spending over $100 million annually on research to develop public access plans. It also outlines policies from agencies like NIH, NSF, and NOAA requiring data management plans and sharing of published results and supporting data. Stakeholder responses to these mandates like the CHORUS publishing initiative and the SHARE academic consortium proposal are also summarized.
How to Comply with Grants: Writing Data Management Plans and Providing Public...Margaret Henderson
Brown Bag Lunch presentation for researchers on how to comply with DMP and public access sections on grants, as required by the OSTP memo of 2013. Note: Many slides are included for reference. The actual presentation only touched on sections relevant to attendees.
Inroads into Data: Getting Involved in Data at Your InstitutionMargaret Henderson
Every institution creates and uses data for many reasons. Data needs to be collected, described, stored, organized, retrieved, and shared, all things that librarians can help with. But how do you get started when there are many types of data and a range of services that can be offered? I will cover how to leverage the skills librarians already have to work with data and suggest some areas of data and service to get you started.
Compliance: Data Management Plans and Public Access to DataMargaret Henderson
Presented at The 8th Annual University of Massachusetts and New England Area Librarian e-Science Symposium, Wednesday, April 6, 2016
University of Massachusetts Medical School
Summary of the requirements for compliance with the new public access plans from US federal agencies under the Office of Science and Technology Memo. This talk was presented to the Research Administration & Compliance group at VCU.
Many thanks to Rebecca Reznik-Zellen for the HHS slides that were developed for the eScience Symposium.
Thanks to Amanda Lea Whitmire for her one memo to rule them all slide.
Ginny Pannabecker, Life Science & Scholarly Communications Librarian at Virginia Tech, is an ACRL Science and Technology Section (STS) liaison to the American Institute of Biological Sciences (AIBS). This presentation shares key points for librarians and researchers from an AIBS workshop on "Changing Practices in Data Publications," which took place in December 2014 and involved representatives from federal funding agencies; publishers and librarians; scientific societies and journals; and data services / providers.
How to Comply with Grants: Writing Data Management Plans and Providing Public...Margaret Henderson
Brown Bag Lunch presentation for researchers on how to comply with DMP and public access sections on grants, as required by the OSTP memo of 2013. Note: Many slides are included for reference. The actual presentation only touched on sections relevant to attendees.
Inroads into Data: Getting Involved in Data at Your InstitutionMargaret Henderson
Every institution creates and uses data for many reasons. Data needs to be collected, described, stored, organized, retrieved, and shared, all things that librarians can help with. But how do you get started when there are many types of data and a range of services that can be offered? I will cover how to leverage the skills librarians already have to work with data and suggest some areas of data and service to get you started.
Compliance: Data Management Plans and Public Access to DataMargaret Henderson
Presented at The 8th Annual University of Massachusetts and New England Area Librarian e-Science Symposium, Wednesday, April 6, 2016
University of Massachusetts Medical School
Summary of the requirements for compliance with the new public access plans from US federal agencies under the Office of Science and Technology Memo. This talk was presented to the Research Administration & Compliance group at VCU.
Many thanks to Rebecca Reznik-Zellen for the HHS slides that were developed for the eScience Symposium.
Thanks to Amanda Lea Whitmire for her one memo to rule them all slide.
Ginny Pannabecker, Life Science & Scholarly Communications Librarian at Virginia Tech, is an ACRL Science and Technology Section (STS) liaison to the American Institute of Biological Sciences (AIBS). This presentation shares key points for librarians and researchers from an AIBS workshop on "Changing Practices in Data Publications," which took place in December 2014 and involved representatives from federal funding agencies; publishers and librarians; scientific societies and journals; and data services / providers.
Presentation for Northwestern University's first Computational Research Day, April 22, 2014. http://www.it.northwestern.edu/research/about/campus-events/research-day/agenda.html . By Cunera Buys, e-Science Librarian, and Claire Stewart, Director, Center for Scholarly Communication and Digital Curation and Head, Digital Collections
E research17 journal data policies - Natasha Simons and Kate LemMayARDC
This presentation will introduce the international and Australasian context for the growing uptake of journal data availability policies, including the drivers and barriers for the creation and implementation of these policies. It will discuss ways in which the eResearch Australasia community can engage with publishers and journal editors to support journal data availability policies and to offer a trusted repository for data deposit. The Research Data Alliance Interest Group on Data Policy Standardisation and Implementation has been active in addressing these issues and it encourages contributions. Finally, this presentation will reflect on the 2017 Australian Social Sciences and Health and Medical roundtables which brought together publishers, editors, data facility providers, domain experts, academy representatives and researchers to discuss journal data availability policies.
Why is the NIH investing $100M at the intersection of data science and health research? The NIH seeks to invest in ways to help researchers easily find, access, analyze, and curate research data. Researchers want visual analytics, and to build the database into a “social network” – being able to “friend” or “like” the data.
RDAP 16: DMPs and Public Access: An NIH Perspective (Panel 5, DMPs and Public...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:
Lisa Federer, National Institutes of Health
Panel Lead:
Margaret Henderson, Virginia Commonwealth University
dkNET Webinar - Vivli: A Global Clinical Trials Data Sharing Platform 12/11/2020dkNET
Abstract
Vivli (https://vivli.org/) is an independent, non-profit organization that has developed a global data-sharing and analytics platform. Our focus is on sharing individual participant-level data from completed clinical trials to serve the entire the scientific community and a diverse group of stakeholders including industry, academic institutions, government and non-profits. The Vivli platform includes an independent data repository, in-depth search engine and a secure research environment. This session will explore when it is appropriate to share your data using a managed access platform such as Vivli and will show how the Vivli team can support you in this process. We will also explore what studies are available that may be of interest to the dkNET community on the platform.
The top 3 key questions that Vivli can answer:
1. Why should I share data from my completed clinical studies?
2. How can Vivli help me share my clinical study data?
3. How can I request data from other completed studies?
Presenter: Ida Sim, MD, PhD, Professor of Medicine, University of California San Francisco and Co-Founder, Vivli
dkNET Webinars Information: https://dknet.org/about/webinar
From Data Policy Towards FAIR Data For All: How standardised data policies ca...Rebecca Grant
There is evidence that good data practice leads to increased citation, increased reproducibility, increased productivity, reduced harm and costs of biased or non-transparent research, and that it helps researchers with career progression and provides a better return on investment in research funding. In this presentation we will share feedback on data sharing from a survey of more than 11,000 researchers globally, as well as evidence from our own implementation of standardised data policies and the work of the Research Data Alliance’s Data Policy Implementation Interest Group.
What to do about data? An overview of guidelines and policies for dataset co...Sarah Young
Datasets are increasingly emerging as a ‘new currency’ in collection development. While purchasing models may in some ways mirror more traditional forms of electronic information, there are many unique considerations in the collection and acquisition of datasets. The purpose of this study is to determine the extent to which academic libraries have formalized dataset collection development policies and to highlight some of the key considerations in the development of such policies. The focus here is on commercially available datasets, rather than datasets produced at home institutions.
New approaches to data management: supporting FAIR data sharing at Springer N...Varsha Khodiyar
Presentation given at Biocuration 2019 Session 5 (Data standards and ontologies: Making data FAIR)
Abstract:
Since 2016, academic publishers including Springer Nature, Elsevier and Taylor & Francis have been providing standard research data policies to journal authors, reflecting key aspects of the FAIR Principles’ practical applications: sharing data in repositories, using persistent identifiers and citing data appropriately. In spite of the rise of FAIR and good data management practice, recent surveys found that nearly 60% of researchers had never heard of the FAIR Principles, and 46% are not sure how to organise their data in a presentable and useful way. In this presentation we will analyse the results of a white paper which assessed the key challenges faced by researchers in sharing their data, and discuss current initiatives and approaches to support researchers to adopt good data sharing practice.
These include the roll-out of research data policies since 2016, as well as the launch of a Helpdesk service which has provided support to authors and allowed the research data team to capture more granular information on the challenges they face in sharing their data. We will also discuss the development of a third-party curation service which assists authors in depositing their data into appropriate repositories, and drafting data availability statements.
Finally we will assess the impacts of some of these interventions, including an analysis of data availability statements and an overview of the methods authors are currently using to share their data, and how these align with FAIR.
Research Data Alliance (RDA) Webinar: What do you really know about that anti...dkNET
What do you really know about that antibody? Ask dkNET
Research resources-defined here as the tools researchers use in their scientific studies-are a foundation of the biomedical enterprise. It is critical for researchers to be able to select the proper tools for their research, but also be aware of any issues that may arise in their application. Software tools and datasets may have bugs, cell lines get contaminated, knock outs may be incomplete and antibodies may have specificity problems. Such problematic resources can continue to be used in scientific studies, even after problems are detected. Many factors, including the inability to easily retrieve alerts about problematic resources, results in their continued use, wasting both time and money. To make it easy to find information about research resources and how they perform, dkNET (NIDDK Information Network, https://dknet.org), an on-line portal supported by the US National Institute of Diabetes, Digestive and Kidney diseases (NIDDK), has developed a resource information network that utilize Research Resource Identifiers (RRIDs) and natural language processes to aggregate information about individual antibodies, cell lines, organisms, digital tools, plasmids and biosamples. This information is presented in a Resource Report that provides information such as which papers have been published using these resources, who is using them and whether issues have been reported. Using this information, dkNET also provides tools to create authentication reports in support of the NIH rigor and reproducibility guidelines. The dkNET portal includes additional information to enable researchers to easily use and navigate large amounts of data and information about research resources in support of reproducible science.
By the end of this webinar, participants will be familiar with the services and tools provided at dkNET and will be able to create a detailed research resource report and produce an authentication report in support of NIH mandates and policies.
Presenter: Maryann Martone, PhD, FAIR Data Informatics Lab (FDI Lab), University of California, San Diego
dkNET Webinar: dkNET Hypothesis Center Live Demo 09/24/2021dkNET
Abstract
dkNET is creating a hub for big data and hypothesis generation, bringing together a collection of online tools that will allow researchers to explore different datasets and utilize analytics and visualization tools. The dkNET Hypothesis Center phenotype-genotype analytics module is currently performed utilizing data from the Signaling Pathways Project (SPP), and the Mouse Metabolic Phenotyping Centers (MMPC). Upcoming resources include the Human Islet Research Network Resource Browser, Appyters, Type 1 Diabetes Knowledge Portal,...and more. Through detailed tutorials and integrating different resources, the power of the dkNET Hypothesis Center can help answer the questions of immediate relevance to your research.
What you will learn:
- Introduction of the dkNET Hypothesis Center
- How to navigate and access tutorials that will teach you how to use FAIR data and bioinformatics tool(s)
- How the dkNET Hypothesis Center can assist in answering your research questions and generating hypotheses
Presenter: Jeffrey Grethe, PhD, dkNET Principal Investigator, University of California San Diego
Upcoming webinars schedule: https://dknet.org/about/webinar
A brief introduction of dkNET (NIDDK Information Network; https://dknet.org) and the services and resources that are available, including Resource Reports, Authentication Reports, FAIR Data Services, Discovery Portal and Hypothesis Center.
Presenters : Libbie Stephenson, Jared Lyle
This session discusses the value of and methods for curating data, especially in light of recent government and academic initiatives. Special attention will be paid to data management plans.
Presentation for Northwestern University's first Computational Research Day, April 22, 2014. http://www.it.northwestern.edu/research/about/campus-events/research-day/agenda.html . By Cunera Buys, e-Science Librarian, and Claire Stewart, Director, Center for Scholarly Communication and Digital Curation and Head, Digital Collections
E research17 journal data policies - Natasha Simons and Kate LemMayARDC
This presentation will introduce the international and Australasian context for the growing uptake of journal data availability policies, including the drivers and barriers for the creation and implementation of these policies. It will discuss ways in which the eResearch Australasia community can engage with publishers and journal editors to support journal data availability policies and to offer a trusted repository for data deposit. The Research Data Alliance Interest Group on Data Policy Standardisation and Implementation has been active in addressing these issues and it encourages contributions. Finally, this presentation will reflect on the 2017 Australian Social Sciences and Health and Medical roundtables which brought together publishers, editors, data facility providers, domain experts, academy representatives and researchers to discuss journal data availability policies.
Why is the NIH investing $100M at the intersection of data science and health research? The NIH seeks to invest in ways to help researchers easily find, access, analyze, and curate research data. Researchers want visual analytics, and to build the database into a “social network” – being able to “friend” or “like” the data.
RDAP 16: DMPs and Public Access: An NIH Perspective (Panel 5, DMPs and Public...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:
Lisa Federer, National Institutes of Health
Panel Lead:
Margaret Henderson, Virginia Commonwealth University
dkNET Webinar - Vivli: A Global Clinical Trials Data Sharing Platform 12/11/2020dkNET
Abstract
Vivli (https://vivli.org/) is an independent, non-profit organization that has developed a global data-sharing and analytics platform. Our focus is on sharing individual participant-level data from completed clinical trials to serve the entire the scientific community and a diverse group of stakeholders including industry, academic institutions, government and non-profits. The Vivli platform includes an independent data repository, in-depth search engine and a secure research environment. This session will explore when it is appropriate to share your data using a managed access platform such as Vivli and will show how the Vivli team can support you in this process. We will also explore what studies are available that may be of interest to the dkNET community on the platform.
The top 3 key questions that Vivli can answer:
1. Why should I share data from my completed clinical studies?
2. How can Vivli help me share my clinical study data?
3. How can I request data from other completed studies?
Presenter: Ida Sim, MD, PhD, Professor of Medicine, University of California San Francisco and Co-Founder, Vivli
dkNET Webinars Information: https://dknet.org/about/webinar
From Data Policy Towards FAIR Data For All: How standardised data policies ca...Rebecca Grant
There is evidence that good data practice leads to increased citation, increased reproducibility, increased productivity, reduced harm and costs of biased or non-transparent research, and that it helps researchers with career progression and provides a better return on investment in research funding. In this presentation we will share feedback on data sharing from a survey of more than 11,000 researchers globally, as well as evidence from our own implementation of standardised data policies and the work of the Research Data Alliance’s Data Policy Implementation Interest Group.
What to do about data? An overview of guidelines and policies for dataset co...Sarah Young
Datasets are increasingly emerging as a ‘new currency’ in collection development. While purchasing models may in some ways mirror more traditional forms of electronic information, there are many unique considerations in the collection and acquisition of datasets. The purpose of this study is to determine the extent to which academic libraries have formalized dataset collection development policies and to highlight some of the key considerations in the development of such policies. The focus here is on commercially available datasets, rather than datasets produced at home institutions.
New approaches to data management: supporting FAIR data sharing at Springer N...Varsha Khodiyar
Presentation given at Biocuration 2019 Session 5 (Data standards and ontologies: Making data FAIR)
Abstract:
Since 2016, academic publishers including Springer Nature, Elsevier and Taylor & Francis have been providing standard research data policies to journal authors, reflecting key aspects of the FAIR Principles’ practical applications: sharing data in repositories, using persistent identifiers and citing data appropriately. In spite of the rise of FAIR and good data management practice, recent surveys found that nearly 60% of researchers had never heard of the FAIR Principles, and 46% are not sure how to organise their data in a presentable and useful way. In this presentation we will analyse the results of a white paper which assessed the key challenges faced by researchers in sharing their data, and discuss current initiatives and approaches to support researchers to adopt good data sharing practice.
These include the roll-out of research data policies since 2016, as well as the launch of a Helpdesk service which has provided support to authors and allowed the research data team to capture more granular information on the challenges they face in sharing their data. We will also discuss the development of a third-party curation service which assists authors in depositing their data into appropriate repositories, and drafting data availability statements.
Finally we will assess the impacts of some of these interventions, including an analysis of data availability statements and an overview of the methods authors are currently using to share their data, and how these align with FAIR.
Research Data Alliance (RDA) Webinar: What do you really know about that anti...dkNET
What do you really know about that antibody? Ask dkNET
Research resources-defined here as the tools researchers use in their scientific studies-are a foundation of the biomedical enterprise. It is critical for researchers to be able to select the proper tools for their research, but also be aware of any issues that may arise in their application. Software tools and datasets may have bugs, cell lines get contaminated, knock outs may be incomplete and antibodies may have specificity problems. Such problematic resources can continue to be used in scientific studies, even after problems are detected. Many factors, including the inability to easily retrieve alerts about problematic resources, results in their continued use, wasting both time and money. To make it easy to find information about research resources and how they perform, dkNET (NIDDK Information Network, https://dknet.org), an on-line portal supported by the US National Institute of Diabetes, Digestive and Kidney diseases (NIDDK), has developed a resource information network that utilize Research Resource Identifiers (RRIDs) and natural language processes to aggregate information about individual antibodies, cell lines, organisms, digital tools, plasmids and biosamples. This information is presented in a Resource Report that provides information such as which papers have been published using these resources, who is using them and whether issues have been reported. Using this information, dkNET also provides tools to create authentication reports in support of the NIH rigor and reproducibility guidelines. The dkNET portal includes additional information to enable researchers to easily use and navigate large amounts of data and information about research resources in support of reproducible science.
By the end of this webinar, participants will be familiar with the services and tools provided at dkNET and will be able to create a detailed research resource report and produce an authentication report in support of NIH mandates and policies.
Presenter: Maryann Martone, PhD, FAIR Data Informatics Lab (FDI Lab), University of California, San Diego
dkNET Webinar: dkNET Hypothesis Center Live Demo 09/24/2021dkNET
Abstract
dkNET is creating a hub for big data and hypothesis generation, bringing together a collection of online tools that will allow researchers to explore different datasets and utilize analytics and visualization tools. The dkNET Hypothesis Center phenotype-genotype analytics module is currently performed utilizing data from the Signaling Pathways Project (SPP), and the Mouse Metabolic Phenotyping Centers (MMPC). Upcoming resources include the Human Islet Research Network Resource Browser, Appyters, Type 1 Diabetes Knowledge Portal,...and more. Through detailed tutorials and integrating different resources, the power of the dkNET Hypothesis Center can help answer the questions of immediate relevance to your research.
What you will learn:
- Introduction of the dkNET Hypothesis Center
- How to navigate and access tutorials that will teach you how to use FAIR data and bioinformatics tool(s)
- How the dkNET Hypothesis Center can assist in answering your research questions and generating hypotheses
Presenter: Jeffrey Grethe, PhD, dkNET Principal Investigator, University of California San Diego
Upcoming webinars schedule: https://dknet.org/about/webinar
A brief introduction of dkNET (NIDDK Information Network; https://dknet.org) and the services and resources that are available, including Resource Reports, Authentication Reports, FAIR Data Services, Discovery Portal and Hypothesis Center.
Presenters : Libbie Stephenson, Jared Lyle
This session discusses the value of and methods for curating data, especially in light of recent government and academic initiatives. Special attention will be paid to data management plans.
Encouraging Openness and how stakeholder policies can support or block it!"CIARD Movement
Funders, authors and readers may want open access to research, but can they achieve it? A researcher who has been encouraged to make their work open has to deal with regulations, guidance, and mandates from their institution, their funders, their publisher and their national government. These policies are often complex and can be ambiguous, or in conflict with each other.
A supportive policy environment and guidance through the relationship of one policy to another has proved to be essential for real progress in opening access to research. How should policies support the researcher and the research process? How can policies based on commercial profit fit into an open environment? What role do funders have in protecting their investment and the public interest?
Presented by Bill Hubbard
Bill Hubbard is the Director of the Centre for Research Communications (CRC) at the University of Nottingham, incorporating the work of SHERPA. The CRC has a portfolio of Open Access projects and services and is a recognised centre of expertise for OA development, policy, repositories and infrastructure.
Bill created the award-winning OA services RoMEO, JULIET and OpenDOAR, which are used around the world to unpick details of stakeholder policies, development policy and which underpin repository use. The CRC have also recently launched FACT, to support researchers in complying with specific RCUK and Wellcome Trust OA polices. Bill has also worked closely with OA publishers and advised on the transitions involved for commercial publishers from traditional to OA business models.
The evolution of scholarship, new models of open education, and the way that Wikipedia both reflects and supports those changes. Slides to support a keynote at http://uk.wikimedia.org/wiki/EduWiki_Conference_2012 . Full picture credits and references at bit.ly/C21wiki and accompanying infographic at bit.ly/C21wikipic .Amber Thomas, JISC www.jisc.ac.uk
Presenter(s): Jeffrey Mortimore.
As federal funding requirements continue to evolve and more publishers are requiring open data sharing as a condition of publication, academic libraries have an important role to play supporting campus researchers’ data management needs. This session explores in detail the National Science Foundation’s current data management requirements, giving special attention to data planning as part of the NSF’s grant application process.
Overview and library support for data management/sharingrds-wayne-edu
Presented as part of the 16Jan2014 Professional & Academic Development (PAD) Seminar on "Developing a Data Management Plan and Ensuring Secure Data Access", Wayne State University - Division of Research.
Data sharing promotes many goals of the NIH research endeavor. It is particularly important for unique data that cannot be readily replicated. Data sharing allows scientists to expedite the translation of research results into knowledge, products, and procedures to improve human health. Do you know what a data sharing plan should include? Are you aware of common practices and standards for data sharing? Do you know what services are available to help share your data responsibly? This workshop will begin to address these questions. Q&A will follow the presentation. Anyone interested in or planning to apply for NIH funding should attend. Note: The NIH data-sharing policy applies to applicants seeking $500,000 or more in direct costs in any year of the proposed research.
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.
RDAP14: OSTP Panel NIH’s Update Public Access ASIS&T
Research Data Access & Preservation Summit
March 26-28, 2014
San Diego, CA
Panel: Funding agency responses to federal requirements for public access to research results
Dr. Neil M. Thakur, National Institutes of Health, Special Assistant to the Deputy Director for Extramural Research
Research Data Management: Part 1, Principles & ResponsibilitiesAmyLN
This two-part course is a collaboration between CU Libraries/Information Services and the Office of Research Compliance & Training. The purpose of this course is to familiarize you with the various aspects of research data management (RDM)
Part 1: Why RDM is both recommended and required
What research data are
Who is responsible for RDM
Part 2:
When RDM activities occur
How you can carry out RDM activities
dkNET Office Hours: NIH Data Management and Sharing Mandate 05/03/2024dkNET
Presenter: Jeffrey Grethe, PhD, Principal Investigator of NIDDK Information Network (dkNET), Center for Research in Biological Systems, University of California San Diego
For all proposals submitted on/after January 25 2023, NIH requires the sharing of data from all NIH funded studies. Do you have appropriate data management practices and sharing plans in place to meet these requirements? Have questions or need some help? Join the dkNET office hours to learn about NIH’s policy (NOT-OD-21-013) and resources that could help.
*Previous Office Hours Slides and Recording: https://dknet.org/rin/research-data-management
Upcoming Webinars Schedule: https://dknet.org/about/webinar
PSB2014 A Vision for Biomedical ResearchPhilip Bourne
Some preliminary thoughts about my role as Associate Director for Data Science at the NIH so as to have a discussion with attendees at the Pacific Symposium on Biocomputing on Jan 4, 2014, The Big Island of Hawaii.
This slide deck provides an overview and resources to respond to the OSTP memo with the subject: Increasing Access to the Results of Federally Funded Scientific Research issued by John P. Holdren in February 2013. It provides resources and information agencies, foundations, and research projects can use to assemble achieve public access to scientific data in digital formats.
This slide deck is an overview of some of the main points of the federal department plans created in response to the OSTP Memo that requires public access to papers and data produced with government funds. Specifically, this covers HHS, DOD, DOE, NASA, and NSF responses. We created this just in case a speaker didn't show and though it might be useful to others. You are welcome to use any or all of the presentation as you see fit.
Introduction to DMPTool2. Originally released in 2011, the DMPTool provides a free step-by-step wizard, detailed guidance, and links to general and institutional resources to walk a researcher through the process of generating a comprehensive data management plan tailored to specific funder requirements.
This webinar will demonstrate some of the original features of the tool, as well as the new features in DMPTool2, which include institutional customizations and researcher collaborations.
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
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
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.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
Federal funder mandates
1. FEDERAL
FUNDER
MANDATES
FOR
OPEN
ACCESS
Sherry Lake
Data Management Consulting Group
Research Data Services
University of Virginia Library
Andrea Horne Denton
Research and Data Services Manager
Claude Moore Health Sciences Library
Open Access Week
October 22, 2014
2. Today
We’ll
Cover
• What
brings
us
here:
recent
White
House
policy
decisions
• What
got
us
here:
past
efforts
with
manda=ng
sharing
of
publica=ons
and
data
• What’s
happening
today
• What’s
next
3. Increasing
the
Access
to
the
Results
of
Federally
Funded
ScienAfic
Research
Memo
released
February
22,
2013
To
ensure
that
“…direct
results
of
federally
funded
scien2fic
research
are
made
available…
Federal
agencies
inves2ng
in
research
and
development
(more
than
$100M
in
annual
expenditures)
must
develop
plans
to
support
increased
public
access
to
the
results
of
research
…”
hBp://www.whitehouse.gov/sites/default/files/microsites/ostp/ostp_public_access_memo_2013.pdf
4. Public
Access
Plan
Components
1. Leverage
exis=ng
archives;
partner
w/
journals
(where
appropriate)
2. Improve
the
public’s
ability
to
locate
and
access
digital
data
3. Approach
to
op=mize
search,
archival,
and
dissemina=on
features
that
encourage
innova=on
in
accessibility
&
interoperability
and
ensure
long-‐term
stewardship
4. A
plan
to
no=fy
awardees
&
researchers
of
their
obliga=ons
5. Strategy
for
measuring
and
enforcing
compliance
with
the
plan
5. Public
Access
to
Scien=fic
Publica=ons
…
“the
results
of
unclassified
research
that
are
published
in
peer-‐reviewed
publica2ons
…
should
be
stored
for
long-‐term
preserva7on
and
publicly
accessible
to
search,
retrieve,
and
analyze
in
ways
that
maximize
the
impact
and
accountability
…”
• 12-‐month
post-‐publica=on
embargo
• Ensure
aZribu=on
is
maintained
• No
charge
for
access
6. Public
Access
to
Scien=fic
Data
in
Digital
Formats
…
“digitally
formaBed
scien2fic
data
resul2ng
from
unclassified
research
supported
wholly
or
in
part…
should
be
stored
and
publicly
accessible
to
search,
retrieve,
and
analyze.”
• Protect
confiden=ality
&
personal
privacy
• Ensure
appropriate
aZribu=on
• No
charge
for
access
• Require
Data
Management
Plans
7. Data
Management
Plan
Requirements
Researchers
to
include:
• Descrip=on
for
long-‐term
preserva=on
and
access
• Appropriate
costs
for
data
management
and
access
Funders
ensure:
• Evalua=on
criteria
for
DMP
• Mechanisms
for
compliance
with
DMP
and
policies
• Support
of
training
related
to
data
management
8. History
of
US
Funding
Agencies
Requirements
• The
Office
of
Management
and
Budget
(OMB)
Circular
A-‐110
provides
the
federal
administra=ve
requirements
for
grants
and
agreements
with
ins=tu=ons
of
higher
educa=on,
hospitals
and
other
non-‐profit
organiza=ons.
• In1999,
revised
to
provide
public
access
under
some
circumstances
to
research
data
through
the
Freedom
of
Informa=on
Act
(FOIA).
• Funding
agencies
have
implemented
the
OMB
requirement
in
various
ways.
11. Federal
mandates
around
publica=on
sharing
1999
Harold
Varmus,
NIH
Director
Public
comment
on
crea=on
of
a
pre-‐print
and
publica=on
archive
of
biomedical
papers
Controversial…
12. Federal
mandates
around
publica=on
sharing
Early
2000’s
Open
access
biomedical
journals
BioMedCentral
founded
in
2000
Increased
publisher
access
to
their
online
ar=cles
13. Federal
mandates
around
publica=on
sharing
2004
New
NIH
Policy
proposed
in
Sept:
NOT-‐
OD-‐04-‐064
“Enhanced
Public
Access
to
NIH
Research
Informa=on”
– Elias
Zerhouni,
NIH
Director
(encouraged
by
Congress)
– Much
discussion
and
concern
14. Federal
mandates
around
publica=on
sharing
2005
Policy
enacted
reques=ng
deposit
of
eligible
(NIH-‐funded)
papers
into
PubMed
Central
– Very
low
compliance
(5%)
15. Federal
mandates
around
publica=on
sharing
2008
NIH
Public
Access
Policy
implements
Division
F
Sec=on
217
of
PL
111-‐8
(Omnibus
Appropria=ons
Act,
2009).
Require
vs.
request
16. Federal
mandates
around
publica=on
sharing
2008
The
Director
of
the
Na2onal
Ins2tutes
of
Health
("NIH")
shall
require
in
the
current
fiscal
year
and
thereaUer
that
all
inves2gators
funded
by
the
NIH
submit
or
have
submiBed
for
them
to
the
Na2onal
Library
of
Medicine's
PubMed
Central
an
electronic
version
of
their
final,
peer-‐reviewed
manuscripts
upon
acceptance
for
publica2on,
to
be
made
publicly
available
no
later
than
12
months
aUer
the
official
date
of
publica2on:
Provided,
that
the
NIH
shall
implement
the
public
access
policy
in
a
manner
consistent
with
copyright
law.
17. Federal
mandates
around
publica=on
sharing
2013
Changes
to
Public
Access
Policy
Compliance
Efforts
– NIH
will
delay
processing
of
an
award
if
publica=ons
arising
from
it
are
not
in
compliance
with
the
NIH
public
access
policy
– Compliance
s=ll
only
around
86%
19. NSF
Data
Archiving
and
Sharing
Policy
Prior
to
2011
To
advance
science
by
encouraging
data
sharing
among
researchers:
• Data
obtained
with
federal
funds
be
accessible
to
the
general
public
• Grantees
must
develop
and
submit
specific
plans
to
share
materials
collected
with
NSF
support,
except
where
this
is
inappropriate
or
impossible
20. NSF
Dissemina=on
&
Sharing
of
Research
Results
“Inves=gators
are
expected
to
share
with
other
researchers,
at
no
more
than
incremental
cost
and
within
a
reasonable
=me,
the
primary
data,
samples,
physical
collec=ons
and
other
suppor=ng
materials
created
or
gathered
in
the
course
of
work
under
NSF
grants.
Grantees
are
expected
to
encourage
and
facilitate
such
sharing.”
NaAonal
Science
FoundaAon:
Award
&
Administra2on
Guide
(AAG)
Chapter
VI.D.4
21. NSF
Plan
for
Data
Management
&
Sharing
of
the
Products
of
Research
As
of
January
18,
2011:
“Proposals
must
include
a
supplementary
document
of
no
more
than
two
pages
labeled
Data
Management
Plan.
This
supplement
should
describe
how
the
proposal
will
conform
to
NSF
policy
on
the
disseminaAon
and
sharing
of
research
results,
and
may
include…...”
NSF:
Grant
Proposal
Guide
(GPG)
Chapter
II.C.2.j
22. Parts
of
a
(Generic)
NSF
Data
Management
Plan
I. Products
of
the
Research:
The
types
of
data,
samples,
physical
collec=ons,
sonware,
curriculum
materials,
and
other
materials
to
be
produced
in
the
course
of
the
project.
II. Data
Formats:
The
standards
to
be
used
for
data
and
metadata
format
and
content
(where
exis=ng
standards
are
absent
or
deemed
inadequate,
this
should
be
documented
along
with
any
proposed
solu=ons
or
remedies).
III. Access
to
Data
and
Data
Sharing
PracAces
and
Policies:
Policies
for
access
and
sharing
including
provisions
for
appropriate
protec=on
of
privacy,
confiden=ality,
security,
intellectual
property,
or
other
rights
or
requirements.
IV. Policies
for
Re-‐Use,
Re-‐DistribuAon,
and
ProducAon
of
DerivaAves.
V. Archiving
of
Data:
Plans
for
archiving
data,
samples,
and
other
research
products,
and
for
preserva=on
of
access
to
them.
NSF:
Grant
Proposal
Guide
(GPG)
Chapter
II.C.2.j
23. NIH
Requirement
“Inves2gators
seeking
$500,000
or
more
in
direct
costs
in
any
year
should
include
a
descrip7on
of
how
final
research
data
will
be
shared,
or
explain
why
data
sharing
is
not
possible.
It
is
expected
that
the
data
sharing
discussion
will
be
provided
primarily
in
the
form
of
a
brief
paragraph…”
NIH
Data
Sharing
Policy
&
Implementa=on
Guidance
hZp://grants.nih.gov/grants/policy/data_sharing/data_sharing_guidance.htm#inc
24. NIH:
What
to
Include
(in
your
paragraph)
•
Schedule
for
data
sharing
•
Format
of
final
dataset
•
Documenta=on
to
be
provided
•
Analy=cal
tools
to
be
provided,
if
any
•
Need
for
data
sharing
agreement
•
Mode
of
data
sharing
25. NIH
Data
Sharing
Repositories
data
accessible
for
reuse
hZp://www.nlm.nih.gov/NIHbmic/nih_data_sharing_repositories.html
26. Who’s
Requiring
Data
Sharing
or
Data
Management?
Require
a
Data
Management
Plan
(DMP)
Require
Sharing
of
Results
–
per
a
Data
Policy
• Na=onal
Science
Founda=on
• Na=onal
Ins=tutes
of
Health
• Na=onal
Oceanographic
and
Atmospheric
Research
(NOAA)
• Ins=tute
of
Museum
and
Library
Services
(IMLS)
• Na=onal
Endowment
of
Humani=es
–
office
of
digital
humani=es
(NEH)
• NASA
• NEH
–
Preserva=on
&
Access
• IES
–
Ins=tute
of
Educa=on
Sciences
This
list
is
not
inclusive
28. Increasing
the
Access
to
the
Results
of
Federally
Funded
ScienAfic
Research
Memo
released
February
22,
2013
To
ensure
that
“…direct
results
of
federally
funded
scien2fic
research
are
made
available…
Federal
agencies
inves2ng
in
research
and
development
(more
than
$100M
in
annual
expenditures)
must
develop
plans
to
support
increased
public
access
to
the
results
of
research
…”
hBp://www.whitehouse.gov/sites/default/files/microsites/ostp/ostp_public_access_memo_2013.pdf
29. Update
March
2014
• All
required
agencies
have
submiZed
plans
• OMB
&
OSTP
reviewed
and
commented
on
plans
• Agencies
working
to
iden=fy
infrastructure
solu=ons
to
support
their
plans
• Interagency
mee=ngs
soon
to
discuss
solu=ons
and
strategies
hBp://www.whitehouse.gov/sites/default/files/microsites/ostp/OpenAccess_March-‐2014.pdf
30. Publishers’
Response
CHORUS
Clearing
House
for
the
Open
Research
of
the
United
States
“...gives
the
public
access
to
publicly
funded
scien2fic
findings
via
embargoed
access
to
publishers’
final
approved,
edited,
and
formaBed
papers.”
www.chorusaccess.org
31. • Partnerships
with
mul=ple
publishers
-‐
uses
their
exis=ng
publica=on
infrastructure
• Collects
publica=on
metadata
and
makes
it
available
to
the
agencies
to
aid
discovery
• Other
research
outputs
(e.g.
datasets)
are
not
directly
included
32. Higher
Educa=on
Response
• SHARE
(SHared
Access
Research
Ecosystem)
• Joint
proposal
(AAU,
ARL,
APLU)
• Relates
to
core
mission
of
academic
libraries
– curate
and
provide
access
to
scholarly
outputs
• Four
components
– No=fica=on
service
– Registry
– Discovery
– Mining
and
Reuse
hZp://www.arl.org/focus-‐areas/shared-‐access-‐research-‐ecosystem-‐share
33. SHARE
• Basic
approach
is
to
provide
a
network
of
ins=tu=onal
repositories
– Both
publica=ons
and
data
• Funding
– Sloan
Founda=on
(planning
grant
and
now
no=fica=on
system)
– IMLS
(no=fica=on
system)
• Currently
working
on
the
no=fica=on
system
– Track
“research
release
events”
=
preprints,
ar=cles,
datasets,
figures,
etc
34. • Department
of
Health
and
Human
Services
(HHS)
• Agency
for
Healthcare
Research
and
Quality
(AHRQ)
• HHS
Office
of
the
Assistant
Secretary
for
Preparedness
and
Response
(ASPR)
• HHS
Centers
for
Disease
Control
and
Preven=on
(CDC)
• Department
of
Homeland
Security
(DHS)
• Department
of
Defense
(DoD)
• Department
of
Energy
(DOE)
• Department
of
the
Interior
(DOI)
• Department
of
Transporta=on
(DOT)
• Department
of
Educa=on
(ED)
• Environmental
Protec=on
Agency
(EPA)
• HHS
Food
and
Drug
Administra=on
(FDA)
• Na=onal
Aeronau=cs
and
Space
Administra=on
(NASA)
• HHS
Na=onal
Ins=tutes
of
Health
(NIH)
• Department
of
Commerce
(DOC)
• Na=onal
Ins=tute
of
Standards
and
Technology
(NIST)
• DOC
Na=onal
Oceanic
and
Atmospheric
Administra=on
(NOAA)
• Na=onal
Science
Founda=on
(NSF)
• Office
of
the
Director
of
Na=onal
Intelligence
(ODNI)
• Smithsonian
Ins=tu=on
(SI)
• United
States
Agency
for
Interna=onal
Development
(USAID)
• United
States
Department
of
Agriculture
(USDA)
• United
States
Department
of
Veterans
Affairs
(VA)
The
Agencies
35. Where
are
we
today?
• All
23
agencies
have
submiZed
dran
plans
(some
2nd
drans)
• DOE
was
the
first
to
publicize
their
plan
– Implementa=on
October
2014
• Public
announcements
once
approved
by
OBM
and
OSTP
–
14
in
pipeline
that
have
been
approved
37. DOE
Public
Access
Plan
• Scien=fic
Publica=ons
– Version
of
Record
hosted
by
publisher
– Access
through
DOE
repository
if
no
other
public
available
version
– PAGES:
portal
and
search
interface
for
discoverability
• Scien=fic
Data
in
Digital
Formats
– All
research
proposals
include
a
DMP
– DMPs
will
be
evaluated
– Encourage
deposit
in
community
repositories
39. Possible
Issues
• Will
we
see
clusters
–
number
of
agencies
going
with
NIH
and
PubMed
Central,
some
with
CHORUS,
some
on
their
own
• Key
issues;
what
is
full
reuse
rights?
-‐
in
the
context
of
data
and
text
mining,
key
aspects
of
DMP
• Different
policies,
different
requirements
for
each
agency
40. Thoughts
• How
would
these
requirements
affect
how
you
do
your
research?
• Would
you
ask
for
funds
for
data
management?
• Would
having
other
research
accessible
enhance
your
research?
Benefit
you?
41. More
Links
• OMB:
Circular
A-‐110
www.whitehouse.gov/omb/circulars_a110
• NSF:
Grant
Proposal
Guide
(GPG)
Chapter
II.C.2.j
www.nsf.gov/pubs/policydocs/pappguide/nsf13001/gpg_2.jsp#dmp
• CHORUS
www.chorusaccess.org/
• SHARE
www.arl.org/focus-‐areas/shared-‐access-‐research-‐ecosystem-‐share
• DOE
Public
Access
Plan
www.energy.gov/sites/prod/files/2014/08/f18/DOE_Public_Access
%20Plan_FINAL.pdf