This document summarizes requirements for sharing research data and articles that have been established by federal agencies. It outlines policies from the NIH, NSF, DOE and other organizations regarding depositing publications in repositories like PMC and making underlying data publicly available. Agencies vary in the required timeframe for sharing articles and data, from the time of publication to 12-30 months later. The document also reviews benefits to researchers of managing and sharing data, journal data sharing policies, and resources for data management at Northwestern University Library.
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
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
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
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
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.
DataONE Education Module 03: Data Management PlanningDataONE
Lesson 3 in a set of 10 created by DataONE on Best Practices fo Data Management. The full module can be downloaded from the DataONE.org website at: http://www.dataone.org/educaiton-modules. Released under a CC0 license, attribution and citation requested.
Research Data Management Services at UWA (November 2015)Katina Toufexis
Research Data Management Services at the University of Western Australia (November 2015).
Created by Katina Toufexis of the eResearch Support Unit (University Library).
CC-BY
Federal Funding Agency's Public Access Policies and YouMargaret Janz
Slides used for an information session about agency responses to the Feb. 22, 2013 OSTP Memo. Session was held May 7, 2015 in the Science & Engineering Library a Temple University and presented by Margaret Janz.
Focus was on NSF, NASA, and NIH response documents based on the interests of the attendees who made those indications when they RSVP'd to the event.
Notes added 5/13/15.
This slideshow was used in an Introduction to Research Data Management course taught for the Mathematical, Physical and Life Sciences Division, University of Oxford, on 2015-02-09. It provides an overview of some key issues, looking at both day-to-day data management, and longer term issues, including sharing, and curation.
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.
DataONE Education Module 10: Legal and Policy IssuesDataONE
Lesson 10 in a set of 10 created by DataONE on Best Practices fo Data Management. The full module can be downloaded from the DataONE.org website at: http://www.dataone.org/educaiton-modules. Released under a CC0 license, attribution and citation requested.
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
This slideshow was used in a Preparing Your Research Data for the Future course taught in the Medical Sciences Division, University of Oxford, on 2015-06-08. It provides an overview of some key issues, focusing on long-term data management, sharing, and curation.
This slideshow was used in an Introduction to Research Data Management course for the Social Sciences Division, University of Oxford, on 2015-05-27. It provides an overview of some key issues, looking at both day-to-day data management, and longer term issues, including sharing, and curation.
IDCC Workshop: Analysing DMPs to inform research data services: lessons from ...Amanda Whitmire
A workshop as part of the International Digital Curation Conference 2016 on DMP development and support. This presentation demonstrates how we can use data management plans as a source of information to better understand researcher data stewardship practices and how to support them. Be sure to see the slide notes to better understand the presentation (most slides are just photos/icons).
Good (enough) research data management practicesLeon Osinski
Slides of a lecture on research data management (RDM), given for 3rd year students (Eindhoven University of Technology, major Psychology & Technology), as part of the course 0HV90 Quantitative Research. At the end of the slides a handy summary 'Research data management basics in a nutshell' is added.
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
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.
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.
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.
DataONE Education Module 03: Data Management PlanningDataONE
Lesson 3 in a set of 10 created by DataONE on Best Practices fo Data Management. The full module can be downloaded from the DataONE.org website at: http://www.dataone.org/educaiton-modules. Released under a CC0 license, attribution and citation requested.
Research Data Management Services at UWA (November 2015)Katina Toufexis
Research Data Management Services at the University of Western Australia (November 2015).
Created by Katina Toufexis of the eResearch Support Unit (University Library).
CC-BY
Federal Funding Agency's Public Access Policies and YouMargaret Janz
Slides used for an information session about agency responses to the Feb. 22, 2013 OSTP Memo. Session was held May 7, 2015 in the Science & Engineering Library a Temple University and presented by Margaret Janz.
Focus was on NSF, NASA, and NIH response documents based on the interests of the attendees who made those indications when they RSVP'd to the event.
Notes added 5/13/15.
This slideshow was used in an Introduction to Research Data Management course taught for the Mathematical, Physical and Life Sciences Division, University of Oxford, on 2015-02-09. It provides an overview of some key issues, looking at both day-to-day data management, and longer term issues, including sharing, and curation.
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.
DataONE Education Module 10: Legal and Policy IssuesDataONE
Lesson 10 in a set of 10 created by DataONE on Best Practices fo Data Management. The full module can be downloaded from the DataONE.org website at: http://www.dataone.org/educaiton-modules. Released under a CC0 license, attribution and citation requested.
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
This slideshow was used in a Preparing Your Research Data for the Future course taught in the Medical Sciences Division, University of Oxford, on 2015-06-08. It provides an overview of some key issues, focusing on long-term data management, sharing, and curation.
This slideshow was used in an Introduction to Research Data Management course for the Social Sciences Division, University of Oxford, on 2015-05-27. It provides an overview of some key issues, looking at both day-to-day data management, and longer term issues, including sharing, and curation.
IDCC Workshop: Analysing DMPs to inform research data services: lessons from ...Amanda Whitmire
A workshop as part of the International Digital Curation Conference 2016 on DMP development and support. This presentation demonstrates how we can use data management plans as a source of information to better understand researcher data stewardship practices and how to support them. Be sure to see the slide notes to better understand the presentation (most slides are just photos/icons).
Good (enough) research data management practicesLeon Osinski
Slides of a lecture on research data management (RDM), given for 3rd year students (Eindhoven University of Technology, major Psychology & Technology), as part of the course 0HV90 Quantitative Research. At the end of the slides a handy summary 'Research data management basics in a nutshell' is added.
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
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.
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.
Australian Research Council (ARC) & National Health and Medical Research Council (NHMRC) overview
Open Data - Whole of Government Approach
ARC and NHMRC Data Management Requirements
Australian Code for the Responsible Conduct of Research
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.
Stakeholder Outreach and Engagement - Encouraging Use of New Scientific DataMonica Linnenbrink
Presentation at the Society for Environmental Toxicology and Chemistry Conference. Describes communications and outreach strategy for encouraging use of new data on potential health effects of chemicals.
Federal Funder Mandates for Open Access Brown Bag
UVa OA Week Presentation
Library data management experts Sherry Lake and Andrea Denton will lead a discussion of current and upcoming mandates for making the results of federally-funded research open to the public. Bring your questions about NIH, NEH, NSF, DOE, and other funders.
RDAP14: OSTP Panel Introduction Funding agency responses to federal requireme...ASIS&T
Research Data Access & Preservation Summit
March 26-28, 2014
San Diego, CA
Funding agency responses to federal requirements for public access to research results
Panel Lead: Wendy Kozlowski, Cornell University
Research Integrity Advisor and Data ManagementARDC
Dr Paul Wong from the Australian Research Data Commons presented at the University of Technology Sydney's RIA Data Management Workshop on 21 June 2018. In partnership with the Australian Research Council, the National Health and Medical Research Council, the Australian Research Data Commons, and RMIT University, this is part of a national workshop series in data management for research integrity advisors.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】
Computational Research day 2015
1. Research Data
Management: status
of new sharing
requirements
Cunera Buys
Computational Research Day
April 14, 2015
https://www.flickr.com/photos/inl/5097547405
2. Brief History of Data Sharing Requirements
• February 26, 2003 - NIH requires a Data Sharing Policy for projects above $500K.
• January 18, 2011- NSF requires Data Management Plans (DMPs) to be submitted with all new
grant proposals.
• February 22, 2013- Memo issued by White House Office of Science and Technology Policy
(OSTP).
http://www.whitehouse.gov/sites/default/files/microsites/ostp/ostp_public_access_memo_2013.pdf
• March 24, 2014 – Follow up memo issued by OSTP.
http://www.whitehouse.gov/sites/default/files/microsites/ostp/OpenAccess_March-2014.pdf
• November 13, 2014- Progress update on policies to increase public access to the results of
federally funded scientific research issued by OSTP.
http://www.whitehouse.gov/sites/default/files/microsites/ostp/public_access_report_to_congress_o
stp_11.13.14.pdf
• July 24, 2014, the DOE releases its Public Access Plan for article and data sharing
• 2015 - 16 Agencies/Departments have released their responses
3. Key Points of OSTP Memo
1. Ensure timely access to articles and data
2. Ease of access
3. Ability to fully reuse research results
4. Highlights from the November13, 2014 OSTP
Progress update
“In drafting their plans, agencies have been asked to
require that data-management plans submitted by
scientists seeking Federal funding describe how and
where they will make their data available to the public,
and to describe explicitly how they will make the data
underlying scientific publications available for discovery,
retrieval, and analysis.”
5. Highlights from the November13, 2014 OSTP
Progress update
“Requiring federally funded scientific researchers to detail how and
where they will make their data available in data-management plans
is an important first step for increasing access to valuable scientific
data, but it is not sufficient to drive the desired sea change in practice
across scientific disciplines. We are therefore working with Federal
Departments and Agencies now to implement policies that require the
deposition of research data underpinning the results described in
scientific publications of federally funded scientific research in publicly
accessible repositories. Optimally, such data would be made freely
available in nonproprietary machine-readable formats and would
allow for discoverability, reuse, and repurposing.”
6. Highlights from the November13, 2014 OSTP
Progress update
“One mechanism to facilitate the release of data would be for Federal
Departments and Agencies to work with the private sector to develop
a federated system of databases that would allow for the storage,
discoverability, reuse, and repurposing of data and provide data
services. A “research data commons” model would do more than
simply make data available; it would allow for the discovery of data
from publications and publications from data sets and allow for data
services to be used for analysis of datasets creating an ecosystem of
discovery that truly revolutionizes how science is done. We will
update the Committees as we explore the feasibility of such an
approach.”
7. Responding Agencies
Agency for Healthcare Research and Quality (AHRQ)
HHS Office of the Assistant Secretary for Preparedness and Response (ASPR)
Centers for Disease Control and Prevention (CDC)
Department of Commerce (DOC)
Department of Defense (DOD)
Department of Energy (DOE)
Department of the Interior (DOI)
Department of Health and Human Services (HHS)
Department of Homeland Security (DHS)
Department of Transportation (DOT)
Department of Education (ED)
Environmental Protection Agency (EPA)
Food and Drug Administration (FDA)
National Aeronautics and Space Administration (NASA)
National Institutes of Health (NIH)
National Institute of Standards and Technology (NIST)
National Oceanic and Atmospheric Administration (NOAA)
National Science Foundation (NSF)
Office of the Director of National Intelligence (ODNI)
Smithsonian Institution (SI)
United States Agency for International Development (USAID)
United States Department of Agriculture (USDA)
United States Department of Veterans Affairs (VA)
United States Geological Survey (USGS)
8. Department of Energy (DOE)
ARTICLES
• Public Access Gateway for Energy and Science (PAGES)- a web based portal that will offer
distributed full-text access to all DOE-affiliated accepted manuscripts or articles
(http://www.osti.gov/pages/)
• Made available no later than 12 month after publication
• Start date: October 1, 2014
DATA MANAGEMENT
• DMPs needed for all research proposals
• DMPs should provide a plan for making all research data displayed in publications open, machine-
readable, and digitally accessible to the public
• Data sets must be available at the time of publication
• Start date: October 1, 2014 (Office of Science: http://science.energy.gov/funding-
opportunities/digital-data-management), all other DOE applicable offices by October 1, 2015
9. National Institute of Health (NIH)
ARTICLES
• PubMed Central (PMC)
• Deposit final peer-reviewed journal manuscripts upon acceptance for publication
• Made available no later than 12 month after publication
• Start date: 2008
DATA MANAGEMENT
• DMPs extended to ALL research proposals
• DMPs should provide a plan for making all research data displayed in publications open, machine-
readable, and digitally accessible to the public
• Data underlying the conclusions of peer-reviewed scientific research publications must be freely
available in public repositories at the time of initial publication
• Start date: December 1, 2015 (http://grants.nih.gov/grants/NIH-Public-Access-Plan.pdf)
10. National Science Foundation (NSF)
ARTICLES
• DOE’s PAGES
• Deposit final peer-reviewed journal manuscripts
• Made available no later than 12 month after publication
• Must provide links with persistent unique identifier to the full text of the publication as well as other
metadata elements in annual and final reports
• Extended to cover juried conference proceedings
• Final policy to include other NSF supported grey literature and educational materials
• Start date: voluntary in 2015, mandatory for all grants issued on or after January 1,2016
DATA MANAGEMENT
• No current changes to DMP requirement
• All data resulting from the research funded by the award, whether or not the data support a
publication, should be deposited at the appropriate repository as explained in the DMP
• Will continue to explore ways to refine and improve process.
• Start date: 2011 (http://www.nsf.gov/pubs/2015/nsf15052/nsf15052.pdf)
11. Agency Responses Summary- Articles
AGENCIES USING PUBMEDCENTRAL
Agency for Healthcare Research and Quality (AHRQ)
HHS Office of the Assistant Secretary for Preparedness and Response (ASPR)
Centers for Disease Control and Prevention (CDC)
Food and Drug Administration (FDA)
National Aeronautics and Space Administration (NASA)
National Institutes of Health (NIH)
National Institute of Standards and Technology (NIST)
United States Department of Veterans Affairs (VA)
AGENCIES USING DOE’S PAGES
Department of Energy (DOE)
National Science Foundation (NSF)
AGENCIES WITH OWN REPOSITORIES
Department of Defense (DOD)-- Defense Technical Info Center
National Oceanic and Atmospheric Administration (NOAA)
United States Department of Agriculture (USDA)-USDA public access archive system
OTHER (TBD)
Department of Transportation (DOT)
United States Agency for International Development (USAID)
United States Geological Survey (USGS)
12. Agency Responses Summary
Time Frame for Depositing Data in a Publically Accessible
Repository
At time of article publication
Agency for Healthcare Research and Quality (AHRQ)
Department of Energy (DOE)
Food and Drug Administration (FDA)
National Institutes of Health (NIH)
National Institute of Standards and Technology (NIST)
National Science Foundation (NSF) (exploring this option)
United States Agency for International Development (USAID)
With article publication or within 30 months of collection
HHS Office of the Assistant Secretary for Preparedness and Response (ASPR)
Centers for Disease Control and Prevention (CDC)
With article publication or within 1 year of collection
National Oceanic and Atmospheric Administration (NOAA)
At time of publication or within a reasonable time period after publication
National Aeronautics and Space Administration (NASA)
Within a reasonable time
Department of Defense (DOD)-- Defense Technical Info Center
Doesn’t specify
United States Department of Veterans Affairs (VA)
United States Department of Agriculture (USDA)
Department of Transportation (DOT)
United States Geological Survey (USGS)
13. Agency Responses Summary
Data Set Location
• Some agencies will use their own repositories when appropriate (NOAA, DOE, NIST, NIH)
• All recommend using public or appropriate repositories
http://www.flickr.com/photos/inl/5097547405
14. Agency Responses Summary
Department of Commerce (DOC)
Department of the Interior (DOI)
Department of Health and Human Services (HHS)
Department of Homeland Security (DHS)
Department of Education (ED)
Environmental Protection Agency (EPA)
Office of the Director of National Intelligence (ODNI)
Smithsonian Institution (SI)
15. Federal Legislation- FASTR
• March 18, 2014- Fair Access to Science & Technology Research (FASTR) Act was refiled for the
114th Congress
• The text of the bill remains the same as the one filed in the 113th Congress
• Affects agencies with extramural research budgets of over $100 million
• Each agency must implement a public access policy that requires
–Researchers to submit an electronic copy of the final manuscript accepted for publication in a
peer reviewed journal
–Ensure manuscript is in a stable digital repository for permanent free access
–Public access to articles no later than 6 months after article is published
16. Journal Requirements
PLOS journals require authors to make all data underlying the findings
described in their manuscript fully available without restriction, with rare
exception.
17. Northwestern Libraries
• Stewardship, institutional memory
• Long tradition of broad subject expertise, liaisons to and in every
discipline
• Data services: finding data, licensing data, depositing data, software for
working with data, assistance with DMP’s
18.
19.
20.
21.
22.
23.
24. Benefits of managing and sharing
your data
• saves you time
• increases the impact of your research through data
citation.
• clearly documents and provides evidence for your research
in conjunction with published results.
• meet copyright and ethical compliance (i.e.. HIPAA).
• preserves data for long-term access and prevents loss of
data.
• describes and shares data with others to further new
discoveries and research.
Adapted From: University of Minnesota Libraries Data Management web page: https://www.lib.umn.edu/datamanagement
25. RESOURCES:
Northwestern University Library Data Management LibGuide:
http://libguides.northwestern.edu/datamanagement
DMPTool: https://dmp.org/
Northwestern University's Research Data: Ownership, Retention and Access Policy:
http://www.research.northwestern.edu/policies/documents/research_data.pdf
Cunera Buys- e-science librarian: c-buys@northwestern.edu
