SlideShare una empresa de Scribd logo
1 de 24
Research Data Management
SOE Graduate Students
4/1/2015
Adapted from CC slidedeck by DataONE. DataONE Education Module: Data Management. DataONE. Retrieved August 5, 2014. From
http://www.dataone.org/sites/all/documents/L01_DataManagement.pptx
Topics
• Importance of data management
• The data lifecycle
• The data management plan
CC image by interpunct on Flickr
Data Deluge
• Data collected in variety
of ways
• Science data
• Social science data
• Humanities data
Data Loss
• Natural disasters
• Storage failure
• Server/hardware/software failure
• Format obsolescence
• Human error
• Malicious attack
• Loss of staffing competencies
• Loss of institution/financial
commitment
• Changes in user expectations
CCimagebySharynMorrowonFlickr
Why Manage Data?
• Data Sharing and Management Snafu in 3 Short Acts: A data
management horror story by Karen Hanson, Alisa Surkis and Karen
Yacobucci.
• http://www.youtube.com/watch?v=N2zK3sAtr-4
• Moral: Document your data & processes!
Why Manage Data?
• Keep yourself organized
• Track your processes for reproducibility
• Better control versions of data
• Format your data for re-use
• Document your data for your own recollection, accountability, and re-
use
• Prepare it to share it
• Gain credibility and recognition for your research efforts!
What are your data?
Research Data Lifecycle
Research Data Lifecycle
What is a DMP?
• Formal document
• Outlines what you will do with
your data during and after you
complete your research
• Ensures your data is safe for the
present and the future
• Required by most funding
agencies
From the University of Virginia Library
Why prepare a DMP?
• Save time
• Less reorganization later
• Increase research efficiency
• Ensures you and others will be able to understand and use data in future
• Easier to preserve your data
• Prevents duplication of effort
• Increases visibility of research
• Makes research and data more relevant
• Funding agency requirement
Components of a DMP
1. Information about data & data format
2. Metadata content and format
3. Policies for access, sharing and re-use
4. Long-term storage and data management
5. Budget
Components of a DMP
1. Information about data & data format
2. Metadata content and format
3. Policies for access, sharing and re-use
4. Long-term storage and data management
5. Budget
Metadata Defined
• Documentation and reporting of data
• Contextual details: Critical information about the dataset
• Information important for using the data
• Descriptions of temporal and spatial details, instruments, parameters,
units, files, etc.
• Examples: http://library.tulane.edu/researchers/metadata
Components of a DMP
1. Information about data & data format
2. Metadata content and format
3. Policies for access, sharing and re-use
4. Long-term storage and data management
5. Budget
Components of a DMP
1. Information about data & data format
2. Metadata content and format
3. Policies for access, sharing and re-use
4. Long-term storage and data management
5. Budget
Components of a DMP
1. Information about data & data format
2. Metadata content and format
3. Policies for access, sharing and re-use
4. Long-term storage and data management
5. Budget
NSF DMP Requirements
From Grant Proposal Guidelines:
Plans for data management and sharing of the products of research. 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 dissemination and sharing of research results (in
AAG), and may include:
1. The types of data, samples, physical collections, software, curriculum materials, and
other materials to be produced in the course of the project
2. The standards to be used for data and metadata format and content (where existing
standards are absent or deemed inadequate, this should be documented along with
any proposed solutions or remedies)
3. Policies for access and sharing including provisions for appropriate protection of
privacy, confidentiality, security, intellectual property, or other rights or requirements
4. Policies and provisions for re-use, re-distribution, and the production of derivatives
5. Plans for archiving data, samples, and other research products, and for preservation of
access to them
DMPTool
UNCG’s Data Archive Option
UNCG’s Data Archive Option
UNCG’s Data Archive Option
Resources and References
• UNCG’s Research Data Management Guide: http://uncg.libguides.com/rdm
• DataONE Education Module: Data Management Planning. DataONE. Retrieved Nov12,
2012. From
http://www.dataone.org/sites/all/documents/L03_DataManagementPlanning.pptx
• University of Virginia Library http://www2.lib.virginia.edu/brown/data/plan.html
• Digital Curation Centre http://www.dcc.ac.uk/resources/data-management-plans
• University of Michigan Library http://www.lib.umich.edu/research-data-management-
and-publishing-support/nsf-data-management-plans#directorate_guide
• NSF Grant Proposal Guidelines
http://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/gpg_2.jsp#dmp
• Inter-University Consortium for Political and Social Research
http://www.icpsr.umich.edu/icpsrweb/ICPSR/dmp/index.jsp
• DataONE http://www.dataone.org/plans
Questions and Comments?
Lynda Kellam, lmkellam@uncg.edu

Más contenido relacionado

La actualidad más candente

Best practices data collection
Best practices data collectionBest practices data collection
Best practices data collection
Sherry Lake
 
Data management woolfrey
Data management woolfreyData management woolfrey
Data management woolfrey
pvhead123
 

La actualidad más candente (20)

Best practices data collection
Best practices data collectionBest practices data collection
Best practices data collection
 
Introduction to data management
Introduction to data managementIntroduction to data management
Introduction to data management
 
DataONE Education Module 07: Metadata
DataONE Education Module 07: MetadataDataONE Education Module 07: Metadata
DataONE Education Module 07: Metadata
 
Research data life cycle
Research data life cycleResearch data life cycle
Research data life cycle
 
Creating dmp
Creating dmpCreating dmp
Creating dmp
 
RDAP 15 EarthCollab: Connecting Scientific Information Sources using the Sema...
RDAP 15 EarthCollab: Connecting Scientific Information Sources using the Sema...RDAP 15 EarthCollab: Connecting Scientific Information Sources using the Sema...
RDAP 15 EarthCollab: Connecting Scientific Information Sources using the Sema...
 
RDAP 15 Navigating the Rocky Road to Research Data Acceptance
RDAP 15 Navigating the Rocky Road to Research Data AcceptanceRDAP 15 Navigating the Rocky Road to Research Data Acceptance
RDAP 15 Navigating the Rocky Road to Research Data Acceptance
 
Data management woolfrey
Data management woolfreyData management woolfrey
Data management woolfrey
 
NISO Training Thursday Crafting a Scientific Data Management Plan
NISO Training Thursday Crafting a Scientific Data Management PlanNISO Training Thursday Crafting a Scientific Data Management Plan
NISO Training Thursday Crafting a Scientific Data Management Plan
 
Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...
Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...
Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...
 
Praetzellis "Data Management Planning and Tools"
Praetzellis "Data Management Planning and Tools"Praetzellis "Data Management Planning and Tools"
Praetzellis "Data Management Planning and Tools"
 
Publishing perspectives on data management & future directions
Publishing perspectives on data management & future directionsPublishing perspectives on data management & future directions
Publishing perspectives on data management & future directions
 
Next generation data services at the Marriott Library
Next generation data services at the Marriott LibraryNext generation data services at the Marriott Library
Next generation data services at the Marriott Library
 
Managing data throughout the research lifecycle
Managing data throughout the research lifecycleManaging data throughout the research lifecycle
Managing data throughout the research lifecycle
 
Collaborative Data Management using OSF
Collaborative Data Management using OSFCollaborative Data Management using OSF
Collaborative Data Management using OSF
 
Poster RDAP13: Research Data in eCommons @ Cornell: Present and Future
Poster RDAP13: Research Data in eCommons @ Cornell: Present and FuturePoster RDAP13: Research Data in eCommons @ Cornell: Present and Future
Poster RDAP13: Research Data in eCommons @ Cornell: Present and Future
 
Compliance: Data Management Plans and Public Access to Data
Compliance: Data Management Plans and Public Access to DataCompliance: Data Management Plans and Public Access to Data
Compliance: Data Management Plans and Public Access to Data
 
Valen Metadata and the [Data] Repository
Valen Metadata and the [Data] RepositoryValen Metadata and the [Data] Repository
Valen Metadata and the [Data] Repository
 
DataONE Education Module 02: Data Sharing
DataONE Education Module 02: Data SharingDataONE Education Module 02: Data Sharing
DataONE Education Module 02: Data Sharing
 
Data Management Services at the Morgan Library
Data Management Services at the Morgan LibraryData Management Services at the Morgan Library
Data Management Services at the Morgan Library
 

Destacado

Destacado (8)

DataONE Education Module 09: Analysis and Workflows
DataONE Education Module 09: Analysis and WorkflowsDataONE Education Module 09: Analysis and Workflows
DataONE Education Module 09: Analysis and Workflows
 
Intro to Creative Commons
Intro to Creative CommonsIntro to Creative Commons
Intro to Creative Commons
 
Scholarly Management: Staying Current with your Research
Scholarly Management: Staying Current with your ResearchScholarly Management: Staying Current with your Research
Scholarly Management: Staying Current with your Research
 
Introduction to research data management
Introduction to research data managementIntroduction to research data management
Introduction to research data management
 
Academic Social Network Sites: a rough guide for researchers
Academic Social Network Sites: a rough guide for researchersAcademic Social Network Sites: a rough guide for researchers
Academic Social Network Sites: a rough guide for researchers
 
Data Management for Dummies
Data Management for DummiesData Management for Dummies
Data Management for Dummies
 
How Framebench Got 500 Signups in 3 Days
How Framebench Got 500 Signups in 3 DaysHow Framebench Got 500 Signups in 3 Days
How Framebench Got 500 Signups in 3 Days
 
Free Download Powerpoint Slides
Free Download Powerpoint SlidesFree Download Powerpoint Slides
Free Download Powerpoint Slides
 

Similar a Research Data Management for SOE

DMPTool Webinar 8: Data Curation Profiles and the DMPTool (presented by Jake ...
DMPTool Webinar 8: Data Curation Profiles and the DMPTool (presented by Jake ...DMPTool Webinar 8: Data Curation Profiles and the DMPTool (presented by Jake ...
DMPTool Webinar 8: Data Curation Profiles and the DMPTool (presented by Jake ...
University of California Curation Center
 

Similar a Research Data Management for SOE (20)

Data Management Planning for Engineers
Data Management Planning for EngineersData Management Planning for Engineers
Data Management Planning for Engineers
 
Why managedata
Why managedataWhy managedata
Why managedata
 
Managing your research data
Managing your research dataManaging your research data
Managing your research data
 
Support Your Data, Kyoto University
Support Your Data, Kyoto UniversitySupport Your Data, Kyoto University
Support Your Data, Kyoto University
 
Creating a Data Management Plan
Creating a Data Management PlanCreating a Data Management Plan
Creating a Data Management Plan
 
Meeting Federal Research Requirements for Data Management Plans, Public Acces...
Meeting Federal Research Requirements for Data Management Plans, Public Acces...Meeting Federal Research Requirements for Data Management Plans, Public Acces...
Meeting Federal Research Requirements for Data Management Plans, Public Acces...
 
Creating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant ApplicationCreating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant Application
 
Creating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant ApplicationCreating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant Application
 
Ands ttt2 perth_accelerate your data skills training_ top tips for topics and...
Ands ttt2 perth_accelerate your data skills training_ top tips for topics and...Ands ttt2 perth_accelerate your data skills training_ top tips for topics and...
Ands ttt2 perth_accelerate your data skills training_ top tips for topics and...
 
RDM and DMP intro
RDM and DMP introRDM and DMP intro
RDM and DMP intro
 
Winter school in research data science research data management - final
Winter school in research data science research data management - finalWinter school in research data science research data management - final
Winter school in research data science research data management - final
 
Introduction to Research Data Management - 2017-02-15 - MPLS Division, Univer...
Introduction to Research Data Management - 2017-02-15 - MPLS Division, Univer...Introduction to Research Data Management - 2017-02-15 - MPLS Division, Univer...
Introduction to Research Data Management - 2017-02-15 - MPLS Division, Univer...
 
Creating a Data Management Plan for your Research
Creating a Data Management Plan for your ResearchCreating a Data Management Plan for your Research
Creating a Data Management Plan for your Research
 
What is-rdm
What is-rdmWhat is-rdm
What is-rdm
 
Data Management - Lynn Woolfrey
Data Management - Lynn WoolfreyData Management - Lynn Woolfrey
Data Management - Lynn Woolfrey
 
Leveraging the dmp tool
Leveraging the dmp toolLeveraging the dmp tool
Leveraging the dmp tool
 
DMPTool Webinar 8: Data Curation Profiles and the DMPTool (presented by Jake ...
DMPTool Webinar 8: Data Curation Profiles and the DMPTool (presented by Jake ...DMPTool Webinar 8: Data Curation Profiles and the DMPTool (presented by Jake ...
DMPTool Webinar 8: Data Curation Profiles and the DMPTool (presented by Jake ...
 
Data management: The new frontier for libraries
Data management: The new frontier for librariesData management: The new frontier for libraries
Data management: The new frontier for libraries
 
Getting to grips with research data management
Getting to grips with research data management Getting to grips with research data management
Getting to grips with research data management
 
Library Connect Webinar - Data Sharing
Library Connect Webinar - Data Sharing Library Connect Webinar - Data Sharing
Library Connect Webinar - Data Sharing
 

Más de Lynda Kellam

Graphing Charts (Dr. Jackson Presentation)
Graphing Charts (Dr. Jackson Presentation)Graphing Charts (Dr. Jackson Presentation)
Graphing Charts (Dr. Jackson Presentation)
Lynda Kellam
 
Presentation on Data Services at UNCG
Presentation on Data Services at UNCGPresentation on Data Services at UNCG
Presentation on Data Services at UNCG
Lynda Kellam
 
American Community Survey and the Census
American Community Survey and the CensusAmerican Community Survey and the Census
American Community Survey and the Census
Lynda Kellam
 

Más de Lynda Kellam (20)

Help! Webinar: "Making Election Data Great Again"
Help! Webinar: "Making Election Data Great Again"Help! Webinar: "Making Election Data Great Again"
Help! Webinar: "Making Election Data Great Again"
 
Data Librarianship
Data LibrarianshipData Librarianship
Data Librarianship
 
Thinking About Your Sources
Thinking About Your SourcesThinking About Your Sources
Thinking About Your Sources
 
Government Documents @ UNCG
Government Documents @ UNCGGovernment Documents @ UNCG
Government Documents @ UNCG
 
Graphing Charts (Dr. Jackson Presentation)
Graphing Charts (Dr. Jackson Presentation)Graphing Charts (Dr. Jackson Presentation)
Graphing Charts (Dr. Jackson Presentation)
 
Historical Census
Historical CensusHistorical Census
Historical Census
 
City lab how to write an outline-2
City lab how to write an outline-2City lab how to write an outline-2
City lab how to write an outline-2
 
Data Reference Interview
Data Reference InterviewData Reference Interview
Data Reference Interview
 
Supporting the Patron Research Life Cycle
Supporting the Patron Research Life CycleSupporting the Patron Research Life Cycle
Supporting the Patron Research Life Cycle
 
Time Management for SON
Time Management for SONTime Management for SON
Time Management for SON
 
Government Documents as Primary Sources
Government Documents as Primary SourcesGovernment Documents as Primary Sources
Government Documents as Primary Sources
 
No Data Librarian, No Cry
No Data Librarian, No CryNo Data Librarian, No Cry
No Data Librarian, No Cry
 
Value of Travel: IASSIST Version
Value of Travel: IASSIST VersionValue of Travel: IASSIST Version
Value of Travel: IASSIST Version
 
Slides for HIS 627
Slides for HIS 627Slides for HIS 627
Slides for HIS 627
 
Government Documents and Information for Interns
Government Documents and Information for InternsGovernment Documents and Information for Interns
Government Documents and Information for Interns
 
Government Documents @ Jackson Library (Staff version)
Government Documents @ Jackson Library (Staff version)Government Documents @ Jackson Library (Staff version)
Government Documents @ Jackson Library (Staff version)
 
Presentation on Data Services at UNCG
Presentation on Data Services at UNCGPresentation on Data Services at UNCG
Presentation on Data Services at UNCG
 
Presentation on Data Services at UNCG
Presentation on Data Services at UNCGPresentation on Data Services at UNCG
Presentation on Data Services at UNCG
 
Don’t fear the data: Statistics in Information Literacy Instruction
Don’t fear the data: Statistics in Information Literacy InstructionDon’t fear the data: Statistics in Information Literacy Instruction
Don’t fear the data: Statistics in Information Literacy Instruction
 
American Community Survey and the Census
American Community Survey and the CensusAmerican Community Survey and the Census
American Community Survey and the Census
 

Último

BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
SoniaTolstoy
 

Último (20)

Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpin
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 

Research Data Management for SOE

  • 1. Research Data Management SOE Graduate Students 4/1/2015 Adapted from CC slidedeck by DataONE. DataONE Education Module: Data Management. DataONE. Retrieved August 5, 2014. From http://www.dataone.org/sites/all/documents/L01_DataManagement.pptx
  • 2. Topics • Importance of data management • The data lifecycle • The data management plan CC image by interpunct on Flickr
  • 3. Data Deluge • Data collected in variety of ways • Science data • Social science data • Humanities data
  • 4. Data Loss • Natural disasters • Storage failure • Server/hardware/software failure • Format obsolescence • Human error • Malicious attack • Loss of staffing competencies • Loss of institution/financial commitment • Changes in user expectations CCimagebySharynMorrowonFlickr
  • 5. Why Manage Data? • Data Sharing and Management Snafu in 3 Short Acts: A data management horror story by Karen Hanson, Alisa Surkis and Karen Yacobucci. • http://www.youtube.com/watch?v=N2zK3sAtr-4 • Moral: Document your data & processes!
  • 6. Why Manage Data? • Keep yourself organized • Track your processes for reproducibility • Better control versions of data • Format your data for re-use • Document your data for your own recollection, accountability, and re- use • Prepare it to share it • Gain credibility and recognition for your research efforts!
  • 10. What is a DMP? • Formal document • Outlines what you will do with your data during and after you complete your research • Ensures your data is safe for the present and the future • Required by most funding agencies From the University of Virginia Library
  • 11. Why prepare a DMP? • Save time • Less reorganization later • Increase research efficiency • Ensures you and others will be able to understand and use data in future • Easier to preserve your data • Prevents duplication of effort • Increases visibility of research • Makes research and data more relevant • Funding agency requirement
  • 12. Components of a DMP 1. Information about data & data format 2. Metadata content and format 3. Policies for access, sharing and re-use 4. Long-term storage and data management 5. Budget
  • 13. Components of a DMP 1. Information about data & data format 2. Metadata content and format 3. Policies for access, sharing and re-use 4. Long-term storage and data management 5. Budget
  • 14. Metadata Defined • Documentation and reporting of data • Contextual details: Critical information about the dataset • Information important for using the data • Descriptions of temporal and spatial details, instruments, parameters, units, files, etc. • Examples: http://library.tulane.edu/researchers/metadata
  • 15. Components of a DMP 1. Information about data & data format 2. Metadata content and format 3. Policies for access, sharing and re-use 4. Long-term storage and data management 5. Budget
  • 16. Components of a DMP 1. Information about data & data format 2. Metadata content and format 3. Policies for access, sharing and re-use 4. Long-term storage and data management 5. Budget
  • 17. Components of a DMP 1. Information about data & data format 2. Metadata content and format 3. Policies for access, sharing and re-use 4. Long-term storage and data management 5. Budget
  • 18. NSF DMP Requirements From Grant Proposal Guidelines: Plans for data management and sharing of the products of research. 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 dissemination and sharing of research results (in AAG), and may include: 1. The types of data, samples, physical collections, software, curriculum materials, and other materials to be produced in the course of the project 2. The standards to be used for data and metadata format and content (where existing standards are absent or deemed inadequate, this should be documented along with any proposed solutions or remedies) 3. Policies for access and sharing including provisions for appropriate protection of privacy, confidentiality, security, intellectual property, or other rights or requirements 4. Policies and provisions for re-use, re-distribution, and the production of derivatives 5. Plans for archiving data, samples, and other research products, and for preservation of access to them
  • 23. Resources and References • UNCG’s Research Data Management Guide: http://uncg.libguides.com/rdm • DataONE Education Module: Data Management Planning. DataONE. Retrieved Nov12, 2012. From http://www.dataone.org/sites/all/documents/L03_DataManagementPlanning.pptx • University of Virginia Library http://www2.lib.virginia.edu/brown/data/plan.html • Digital Curation Centre http://www.dcc.ac.uk/resources/data-management-plans • University of Michigan Library http://www.lib.umich.edu/research-data-management- and-publishing-support/nsf-data-management-plans#directorate_guide • NSF Grant Proposal Guidelines http://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/gpg_2.jsp#dmp • Inter-University Consortium for Political and Social Research http://www.icpsr.umich.edu/icpsrweb/ICPSR/dmp/index.jsp • DataONE http://www.dataone.org/plans
  • 24. Questions and Comments? Lynda Kellam, lmkellam@uncg.edu