SlideShare a Scribd company logo
Getting data into the repository:
things to ponder
Indira Yerramareddy, Manger of Knowledge Management and Web
Nilam Prasai, Senior Data Curator
International Food Policy Research Institute (IFPRI)
May 16, 2019
Research data management
Care and maintenance of the data that is produced
during the research
Describes collection, organization, storage,
documentation, dissemination and preservation of
research data
Defines the quality and after-life of research data
Should be considered in each and every steps of
research
Research data lifecycle
 The principles emphasise machine-actionability (i.e., the capacity of
computational systems to find, access, interoperate, and reuse data with
none or minimal human intervention) because humans increasingly rely on
computational support to deal with data as a result of the increase in
volume, complexity, and creation speed of data.
Fig. Research Data Lifecycle
FAIR principles (what)
set of guiding principles for scientific data management
and stewardship to ensure that data are
oFINDABLE (F)
oACCESSIBLE (A)
oINTEROPERABLE (I)
oREUSABLE (R)
developed and endorsed by researchers, publishers,
funding agencies and others
put emphasis on machine-actionability on datasets
FAIR principles (why)
help to increase the visibility of research
help to save time and resources by minimizing
duplicate data collection and research
help to innovate and discover by providing data needed
to answer research questions
help to attain maximum potential of any data assets
help to achieve maximum impact of research
help to improve the reproducibility of research
help to follow international standards, protocols and
best practices
FAIR principles (how)
Findable
• Metadata
• Persistent
identifier
• Repository
Accessible
• Machine and
human
readable
metadata
and data
• Long term
storage and
preservation
Interoperable
• Metadata
schema
• Standard
vocabulary
and ontology
• Interoperable
repository
Reusable
• Data use
license
• Metadata
with accurate
and relevant
attributes
https://www.force11.org/group/fairgroup/fairprinciples
Key things to ponder when publishing
research data
Informed consent
Data anonymization
Intellectual property, ownership and copyrights
Contractual and legal compliance
Data files, documentations and metadata
Do I have informed consent to share
data?
Scientists are required to protect the confidentiality
of the respondents
Language in informed consent can limit scientist’s
ability to share data
Use language in informed consent: such as “We
may share de-identified data we collect from
you…”
Identified and sensitive datasets can be shared
only under restrictive settings
Is the data completely deidentified?
Should not compromise confidentiality/privacy
of respondents
Direct and indirect identifiers should not be
present in datasets that are openly public
Controlled sharing should be done for datasets
that can’t be deidentified completely
Always use non-disclosure agreement while
sharing identified datasets
Who owns the data? Intellectual
property and copyrights
Confirm who has the rights and ownership to
the data
Confirm what intellectual property and
copyrights applies to data
Confirm if you plan to apply patent for the
dataset, data collection methodology etc
Is their any legal and contractual
provision related to data publishing?
Provisions in the contract
oData security, protection, retention, transfer,
sharing
oConfirm if permission is needed from
collaborators for data publishing
Legal regulations
oData security, protection, retention, transfer,
sharing
Preparing data for publishing
Preparing data files
Preparing documentations
Preparing metadata
Preparing data files
File format
File name
Variable name
Data values and codes
Special types of data
Anonymization
Preparing documentation: key
elements to consider
Context
Data collection methods
Structure of data
Quality controls
Versions
Access and use conditions
Preparing documentation: key
documents to include
Codebook(s)
Data collection instruments
Sampling methodology
Interviewer manual
Summary report
Working papers
Project reports and publications
Preparing metadata: minimum
metadata elements
Title
Authors/Contributors
Description
Funder
Keywords
Topics
Sample and sampling
procedure
Data collection date
Time period covered in
the datasets
Geographic coverage
Geographic unit
Producer
Production place
Distributor
Preparing metadata: optional
metadata elements
 Related publications
 Related datasets
 Universe
 Unit of analysis
 Time method
 Data collector
 Collector training
 Frequency
 Target sample size
 Major deviations from the sample
design
 Data collection mode
 Types of research instrument
 Characteristics of data collection
situation
 Weighting
 Response rate
 Error notes
 Estimates of sampling error
 Cleaning operations
Preparing metadata: don’t forget
Persistent identifier
Terms of use
Data license
Access conditions (if any)
Data citation and Metadata Example from IFPRI Dataverse
Thank you: Questions and comments(?)

More Related Content

What's hot

Data management plan template
Data management plan templateData management plan template
Basics of Research Data Management
Basics of Research Data ManagementBasics of Research Data Management
Basics of Research Data Management
OpenAIRE
 
Data Management Planning for researchers
Data Management Planning for researchersData Management Planning for researchers
Data Management Planning for researchers
Sarah Jones
 
DataONE Education Module 02: Data Sharing
DataONE Education Module 02: Data SharingDataONE Education Module 02: Data Sharing
DataONE Education Module 02: Data Sharing
DataONE
 
Research Data Management
Research Data ManagementResearch Data Management
Research Data Management
Sarah Jones
 
Data curation
Data curationData curation
Data curation
ealtmyer
 
Good (enough) research data management practices
Good (enough) research data management practicesGood (enough) research data management practices
Good (enough) research data management practices
Leon Osinski
 
Preparing Data for Sharing: The FAIR Principles
Preparing Data for Sharing: The FAIR PrinciplesPreparing Data for Sharing: The FAIR Principles
Preparing Data for Sharing: The FAIR Principles
London School of Hygiene and Tropical Medicine
 
Introduction to the Environmental Data Initiative (EDI)
Introduction to the Environmental Data Initiative (EDI)Introduction to the Environmental Data Initiative (EDI)
Introduction to the Environmental Data Initiative (EDI)
Corinna Gries
 
Fair data principles for AOASG
Fair data principles for AOASGFair data principles for AOASG
Fair data principles for AOASG
Keith Russell
 
Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu |
Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu | Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu |
Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu |
EUDAT
 
Supporting the development of a national Research Data Discovery Service - A ...
Supporting the development of a national Research Data Discovery Service - A ...Supporting the development of a national Research Data Discovery Service - A ...
Supporting the development of a national Research Data Discovery Service - A ...
Historic Environment Scotland
 
FAIR data overview
FAIR data overviewFAIR data overview
DataONE Education Module 01: Why Data Management?
DataONE Education Module 01: Why Data Management?DataONE Education Module 01: Why Data Management?
DataONE Education Module 01: Why Data Management?
DataONE
 
Findable, Accessible, Interoperable and Reusable (FAIR) data
Findable, Accessible, Interoperable and Reusable (FAIR) dataFindable, Accessible, Interoperable and Reusable (FAIR) data
Findable, Accessible, Interoperable and Reusable (FAIR) data
ARDC
 
FAIR Data Management and FAIR Data Sharing
FAIR Data Management and FAIR Data SharingFAIR Data Management and FAIR Data Sharing
FAIR Data Management and FAIR Data Sharing
Merce Crosas
 
"Cool" metadata for FAIR data
"Cool" metadata for FAIR data"Cool" metadata for FAIR data
"Cool" metadata for FAIR data
Research Data Alliance
 
Essentials 4 Data Support: a fine course in FAIR Data Support
Essentials 4 Data Support: a fine course in FAIR Data SupportEssentials 4 Data Support: a fine course in FAIR Data Support
Essentials 4 Data Support: a fine course in FAIR Data Support
Ellen Verbakel
 
David Shotton - Research Integrity: Integrity of the published record
David Shotton - Research Integrity: Integrity of the published recordDavid Shotton - Research Integrity: Integrity of the published record
David Shotton - Research Integrity: Integrity of the published record
Jisc
 
Developing a Data Management Plan
Developing a Data Management PlanDeveloping a Data Management Plan
Developing a Data Management Plan
Martin Donnelly
 

What's hot (20)

Data management plan template
Data management plan templateData management plan template
Data management plan template
 
Basics of Research Data Management
Basics of Research Data ManagementBasics of Research Data Management
Basics of Research Data Management
 
Data Management Planning for researchers
Data Management Planning for researchersData Management Planning for researchers
Data Management Planning for researchers
 
DataONE Education Module 02: Data Sharing
DataONE Education Module 02: Data SharingDataONE Education Module 02: Data Sharing
DataONE Education Module 02: Data Sharing
 
Research Data Management
Research Data ManagementResearch Data Management
Research Data Management
 
Data curation
Data curationData curation
Data curation
 
Good (enough) research data management practices
Good (enough) research data management practicesGood (enough) research data management practices
Good (enough) research data management practices
 
Preparing Data for Sharing: The FAIR Principles
Preparing Data for Sharing: The FAIR PrinciplesPreparing Data for Sharing: The FAIR Principles
Preparing Data for Sharing: The FAIR Principles
 
Introduction to the Environmental Data Initiative (EDI)
Introduction to the Environmental Data Initiative (EDI)Introduction to the Environmental Data Initiative (EDI)
Introduction to the Environmental Data Initiative (EDI)
 
Fair data principles for AOASG
Fair data principles for AOASGFair data principles for AOASG
Fair data principles for AOASG
 
Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu |
Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu | Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu |
Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu |
 
Supporting the development of a national Research Data Discovery Service - A ...
Supporting the development of a national Research Data Discovery Service - A ...Supporting the development of a national Research Data Discovery Service - A ...
Supporting the development of a national Research Data Discovery Service - A ...
 
FAIR data overview
FAIR data overviewFAIR data overview
FAIR data overview
 
DataONE Education Module 01: Why Data Management?
DataONE Education Module 01: Why Data Management?DataONE Education Module 01: Why Data Management?
DataONE Education Module 01: Why Data Management?
 
Findable, Accessible, Interoperable and Reusable (FAIR) data
Findable, Accessible, Interoperable and Reusable (FAIR) dataFindable, Accessible, Interoperable and Reusable (FAIR) data
Findable, Accessible, Interoperable and Reusable (FAIR) data
 
FAIR Data Management and FAIR Data Sharing
FAIR Data Management and FAIR Data SharingFAIR Data Management and FAIR Data Sharing
FAIR Data Management and FAIR Data Sharing
 
"Cool" metadata for FAIR data
"Cool" metadata for FAIR data"Cool" metadata for FAIR data
"Cool" metadata for FAIR data
 
Essentials 4 Data Support: a fine course in FAIR Data Support
Essentials 4 Data Support: a fine course in FAIR Data SupportEssentials 4 Data Support: a fine course in FAIR Data Support
Essentials 4 Data Support: a fine course in FAIR Data Support
 
David Shotton - Research Integrity: Integrity of the published record
David Shotton - Research Integrity: Integrity of the published recordDavid Shotton - Research Integrity: Integrity of the published record
David Shotton - Research Integrity: Integrity of the published record
 
Developing a Data Management Plan
Developing a Data Management PlanDeveloping a Data Management Plan
Developing a Data Management Plan
 

Similar to Getting data into the data repository

Introduction to research data management
Introduction to research data managementIntroduction to research data management
Introduction to research data management
dri_ireland
 
Changes in National Ethics Policy for Managing and Sharing Human Research Data
Changes in National Ethics Policy for Managing and Sharing Human Research DataChanges in National Ethics Policy for Managing and Sharing Human Research Data
Changes in National Ethics Policy for Managing and Sharing Human Research Data
ARDC
 
You down with dmp yeah you know me!
You down with dmp  yeah you know me!You down with dmp  yeah you know me!
You down with dmp yeah you know me!
Renaine Julian
 
DATA MANAGEMENT – WHAT DOES IT MEAN FOR RESEARCHERS?
DATA MANAGEMENT – WHAT DOES IT MEAN FOR RESEARCHERS?DATA MANAGEMENT – WHAT DOES IT MEAN FOR RESEARCHERS?
DATA MANAGEMENT – WHAT DOES IT MEAN FOR RESEARCHERS?
Incremental Project
 
Data Sharing & Data Citation
Data Sharing & Data CitationData Sharing & Data Citation
Data Sharing & Data Citation
Micah Altman
 
Research Data Management in practice, RIA Data Management Workshop Brisbane 2017
Research Data Management in practice, RIA Data Management Workshop Brisbane 2017Research Data Management in practice, RIA Data Management Workshop Brisbane 2017
Research Data Management in practice, RIA Data Management Workshop Brisbane 2017
ARDC
 
Data Management for Postgraduate students by Lynn Woolfrey
Data Management for Postgraduate students by Lynn WoolfreyData Management for Postgraduate students by Lynn Woolfrey
Data Management for Postgraduate students by Lynn Woolfrey
pvhead123
 
CARARE: Can I use this data? FAIR into practice
CARARE: Can I use this data? FAIR into practiceCARARE: Can I use this data? FAIR into practice
CARARE: Can I use this data? FAIR into practice
CARARE
 
03 keynote dillo
03 keynote dillo03 keynote dillo
03 keynote dillo
ShareCareX
 
Open Data and Institutional Repositories
Open Data and Institutional RepositoriesOpen Data and Institutional Repositories
Open Data and Institutional Repositories
Robin Rice
 
Garret McMahon - Research Data Preservation
Garret McMahon - Research Data PreservationGarret McMahon - Research Data Preservation
Garret McMahon - Research Data Preservation
dri_ireland
 
NFAIS Talk on Enabling FAIR Data
NFAIS Talk on Enabling FAIR DataNFAIS Talk on Enabling FAIR Data
NFAIS Talk on Enabling FAIR Data
Anita de Waard
 
FAIR for the future: embracing all things data
FAIR for the future: embracing all things dataFAIR for the future: embracing all things data
FAIR for the future: embracing all things data
ARDC
 
Preparing research data for sharing
Preparing research data for sharingPreparing research data for sharing
Preparing research data for sharing
London School of Hygiene and Tropical Medicine
 
FAIR vs GDPR: which will win?
FAIR vs GDPR: which will win?FAIR vs GDPR: which will win?
FAIR vs GDPR: which will win?
Robin Rice
 
Writing a Research Data Management Plan - 2016-11-09 - University of Oxford
Writing a Research Data Management Plan - 2016-11-09 - University of OxfordWriting a Research Data Management Plan - 2016-11-09 - University of Oxford
Writing a Research Data Management Plan - 2016-11-09 - University of Oxford
Research Support Team, IT Services, University of Oxford
 
Research data management and sharing of medical data
Research data management and sharing of medical dataResearch data management and sharing of medical data
Research data management and sharing of medical data
ARDC
 
#1 FAIR: Into to FAIR and F for Findable
#1 FAIR: Into to FAIR and F for Findable#1 FAIR: Into to FAIR and F for Findable
#1 FAIR: Into to FAIR and F for Findable
ARDC
 
Data Management Planning for Researchers - 2016-02-08 - University of Oxford
Data Management Planning for Researchers - 2016-02-08 - University of OxfordData Management Planning for Researchers - 2016-02-08 - University of Oxford
Data Management Planning for Researchers - 2016-02-08 - University of Oxford
Research Support Team, IT Services, University of Oxford
 
Publishing and sharing sensitive data 28 June
Publishing and sharing sensitive data 28 JunePublishing and sharing sensitive data 28 June
Publishing and sharing sensitive data 28 June
ARDC
 

Similar to Getting data into the data repository (20)

Introduction to research data management
Introduction to research data managementIntroduction to research data management
Introduction to research data management
 
Changes in National Ethics Policy for Managing and Sharing Human Research Data
Changes in National Ethics Policy for Managing and Sharing Human Research DataChanges in National Ethics Policy for Managing and Sharing Human Research Data
Changes in National Ethics Policy for Managing and Sharing Human Research Data
 
You down with dmp yeah you know me!
You down with dmp  yeah you know me!You down with dmp  yeah you know me!
You down with dmp yeah you know me!
 
DATA MANAGEMENT – WHAT DOES IT MEAN FOR RESEARCHERS?
DATA MANAGEMENT – WHAT DOES IT MEAN FOR RESEARCHERS?DATA MANAGEMENT – WHAT DOES IT MEAN FOR RESEARCHERS?
DATA MANAGEMENT – WHAT DOES IT MEAN FOR RESEARCHERS?
 
Data Sharing & Data Citation
Data Sharing & Data CitationData Sharing & Data Citation
Data Sharing & Data Citation
 
Research Data Management in practice, RIA Data Management Workshop Brisbane 2017
Research Data Management in practice, RIA Data Management Workshop Brisbane 2017Research Data Management in practice, RIA Data Management Workshop Brisbane 2017
Research Data Management in practice, RIA Data Management Workshop Brisbane 2017
 
Data Management for Postgraduate students by Lynn Woolfrey
Data Management for Postgraduate students by Lynn WoolfreyData Management for Postgraduate students by Lynn Woolfrey
Data Management for Postgraduate students by Lynn Woolfrey
 
CARARE: Can I use this data? FAIR into practice
CARARE: Can I use this data? FAIR into practiceCARARE: Can I use this data? FAIR into practice
CARARE: Can I use this data? FAIR into practice
 
03 keynote dillo
03 keynote dillo03 keynote dillo
03 keynote dillo
 
Open Data and Institutional Repositories
Open Data and Institutional RepositoriesOpen Data and Institutional Repositories
Open Data and Institutional Repositories
 
Garret McMahon - Research Data Preservation
Garret McMahon - Research Data PreservationGarret McMahon - Research Data Preservation
Garret McMahon - Research Data Preservation
 
NFAIS Talk on Enabling FAIR Data
NFAIS Talk on Enabling FAIR DataNFAIS Talk on Enabling FAIR Data
NFAIS Talk on Enabling FAIR Data
 
FAIR for the future: embracing all things data
FAIR for the future: embracing all things dataFAIR for the future: embracing all things data
FAIR for the future: embracing all things data
 
Preparing research data for sharing
Preparing research data for sharingPreparing research data for sharing
Preparing research data for sharing
 
FAIR vs GDPR: which will win?
FAIR vs GDPR: which will win?FAIR vs GDPR: which will win?
FAIR vs GDPR: which will win?
 
Writing a Research Data Management Plan - 2016-11-09 - University of Oxford
Writing a Research Data Management Plan - 2016-11-09 - University of OxfordWriting a Research Data Management Plan - 2016-11-09 - University of Oxford
Writing a Research Data Management Plan - 2016-11-09 - University of Oxford
 
Research data management and sharing of medical data
Research data management and sharing of medical dataResearch data management and sharing of medical data
Research data management and sharing of medical data
 
#1 FAIR: Into to FAIR and F for Findable
#1 FAIR: Into to FAIR and F for Findable#1 FAIR: Into to FAIR and F for Findable
#1 FAIR: Into to FAIR and F for Findable
 
Data Management Planning for Researchers - 2016-02-08 - University of Oxford
Data Management Planning for Researchers - 2016-02-08 - University of OxfordData Management Planning for Researchers - 2016-02-08 - University of Oxford
Data Management Planning for Researchers - 2016-02-08 - University of Oxford
 
Publishing and sharing sensitive data 28 June
Publishing and sharing sensitive data 28 JunePublishing and sharing sensitive data 28 June
Publishing and sharing sensitive data 28 June
 

More from International Food Policy Research Institute (IFPRI)

Targeting in Development Projects: Approaches, challenges, and lessons learned
Targeting in Development Projects: Approaches, challenges, and lessons learnedTargeting in Development Projects: Approaches, challenges, and lessons learned
Targeting in Development Projects: Approaches, challenges, and lessons learned
International Food Policy Research Institute (IFPRI)
 
Prevalence and Impact of Landmines on Ukrainian Agricultural Production
Prevalence and Impact of Landmines on Ukrainian Agricultural ProductionPrevalence and Impact of Landmines on Ukrainian Agricultural Production
Prevalence and Impact of Landmines on Ukrainian Agricultural Production
International Food Policy Research Institute (IFPRI)
 
Global Markets and the War in Ukraine
Global Markets and  the War in UkraineGlobal Markets and  the War in Ukraine
Global Markets and the War in Ukraine
International Food Policy Research Institute (IFPRI)
 
Impact of the Russian Military Invasion on Ukraine’s Agriculture and Trade
Impact of the Russian Military Invasion on Ukraine’s Agriculture and Trade Impact of the Russian Military Invasion on Ukraine’s Agriculture and Trade
Impact of the Russian Military Invasion on Ukraine’s Agriculture and Trade
International Food Policy Research Institute (IFPRI)
 
Mapping cropland extent over a complex landscape: An assessment of the best a...
Mapping cropland extent over a complex landscape: An assessment of the best a...Mapping cropland extent over a complex landscape: An assessment of the best a...
Mapping cropland extent over a complex landscape: An assessment of the best a...
International Food Policy Research Institute (IFPRI)
 
Examples of remote sensing application in agriculture monitoring
Examples of remote sensing application in agriculture monitoringExamples of remote sensing application in agriculture monitoring
Examples of remote sensing application in agriculture monitoring
International Food Policy Research Institute (IFPRI)
 
Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...
International Food Policy Research Institute (IFPRI)
 
Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...
International Food Policy Research Institute (IFPRI)
 
Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...
International Food Policy Research Institute (IFPRI)
 
Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...
International Food Policy Research Institute (IFPRI)
 
Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...
International Food Policy Research Institute (IFPRI)
 
Current ENSO and IOD Conditions, Forecasts, and the Potential Impacts
Current ENSO and IOD Conditions, Forecasts, and the Potential ImpactsCurrent ENSO and IOD Conditions, Forecasts, and the Potential Impacts
Current ENSO and IOD Conditions, Forecasts, and the Potential Impacts
International Food Policy Research Institute (IFPRI)
 
The importance of Rice in Senegal
The importance of Rice in SenegalThe importance of Rice in Senegal
The importance of Rice in Senegal
International Food Policy Research Institute (IFPRI)
 
Global Rice Market and Export Restriction
Global Rice Market and Export RestrictionGlobal Rice Market and Export Restriction
Global Rice Market and Export Restriction
International Food Policy Research Institute (IFPRI)
 
Global Rice Market Situation and Outlook
Global Rice Market Situation and Outlook Global Rice Market Situation and Outlook
Global Rice Market Situation and Outlook
International Food Policy Research Institute (IFPRI)
 
Rice prices at highest (nominal) level in 15 years
Rice prices at highest (nominal) level in 15 yearsRice prices at highest (nominal) level in 15 years
Rice prices at highest (nominal) level in 15 years
International Food Policy Research Institute (IFPRI)
 
Book Launch: Political Economy and Policy Analysis (PEPA) Sourcebook
Book Launch:  Political Economy and Policy Analysis (PEPA) SourcebookBook Launch:  Political Economy and Policy Analysis (PEPA) Sourcebook
Book Launch: Political Economy and Policy Analysis (PEPA) Sourcebook
International Food Policy Research Institute (IFPRI)
 
Shocks, Production, Exports and Market Prices: An Analysis of the Rice Sector...
Shocks, Production, Exports and Market Prices: An Analysis of the Rice Sector...Shocks, Production, Exports and Market Prices: An Analysis of the Rice Sector...
Shocks, Production, Exports and Market Prices: An Analysis of the Rice Sector...
International Food Policy Research Institute (IFPRI)
 
Anticipatory cash for climate resilience
Anticipatory cash for climate resilienceAnticipatory cash for climate resilience
Anticipatory cash for climate resilience
International Food Policy Research Institute (IFPRI)
 
2023 Global Report on Food Crises: Joint Analysis for Better Decisions
2023 Global Report on Food Crises: Joint Analysis for Better Decisions 2023 Global Report on Food Crises: Joint Analysis for Better Decisions
2023 Global Report on Food Crises: Joint Analysis for Better Decisions
International Food Policy Research Institute (IFPRI)
 

More from International Food Policy Research Institute (IFPRI) (20)

Targeting in Development Projects: Approaches, challenges, and lessons learned
Targeting in Development Projects: Approaches, challenges, and lessons learnedTargeting in Development Projects: Approaches, challenges, and lessons learned
Targeting in Development Projects: Approaches, challenges, and lessons learned
 
Prevalence and Impact of Landmines on Ukrainian Agricultural Production
Prevalence and Impact of Landmines on Ukrainian Agricultural ProductionPrevalence and Impact of Landmines on Ukrainian Agricultural Production
Prevalence and Impact of Landmines on Ukrainian Agricultural Production
 
Global Markets and the War in Ukraine
Global Markets and  the War in UkraineGlobal Markets and  the War in Ukraine
Global Markets and the War in Ukraine
 
Impact of the Russian Military Invasion on Ukraine’s Agriculture and Trade
Impact of the Russian Military Invasion on Ukraine’s Agriculture and Trade Impact of the Russian Military Invasion on Ukraine’s Agriculture and Trade
Impact of the Russian Military Invasion on Ukraine’s Agriculture and Trade
 
Mapping cropland extent over a complex landscape: An assessment of the best a...
Mapping cropland extent over a complex landscape: An assessment of the best a...Mapping cropland extent over a complex landscape: An assessment of the best a...
Mapping cropland extent over a complex landscape: An assessment of the best a...
 
Examples of remote sensing application in agriculture monitoring
Examples of remote sensing application in agriculture monitoringExamples of remote sensing application in agriculture monitoring
Examples of remote sensing application in agriculture monitoring
 
Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...
 
Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...
 
Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...
 
Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...
 
Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...Statistics from Space: Next-Generation Agricultural Production Information fo...
Statistics from Space: Next-Generation Agricultural Production Information fo...
 
Current ENSO and IOD Conditions, Forecasts, and the Potential Impacts
Current ENSO and IOD Conditions, Forecasts, and the Potential ImpactsCurrent ENSO and IOD Conditions, Forecasts, and the Potential Impacts
Current ENSO and IOD Conditions, Forecasts, and the Potential Impacts
 
The importance of Rice in Senegal
The importance of Rice in SenegalThe importance of Rice in Senegal
The importance of Rice in Senegal
 
Global Rice Market and Export Restriction
Global Rice Market and Export RestrictionGlobal Rice Market and Export Restriction
Global Rice Market and Export Restriction
 
Global Rice Market Situation and Outlook
Global Rice Market Situation and Outlook Global Rice Market Situation and Outlook
Global Rice Market Situation and Outlook
 
Rice prices at highest (nominal) level in 15 years
Rice prices at highest (nominal) level in 15 yearsRice prices at highest (nominal) level in 15 years
Rice prices at highest (nominal) level in 15 years
 
Book Launch: Political Economy and Policy Analysis (PEPA) Sourcebook
Book Launch:  Political Economy and Policy Analysis (PEPA) SourcebookBook Launch:  Political Economy and Policy Analysis (PEPA) Sourcebook
Book Launch: Political Economy and Policy Analysis (PEPA) Sourcebook
 
Shocks, Production, Exports and Market Prices: An Analysis of the Rice Sector...
Shocks, Production, Exports and Market Prices: An Analysis of the Rice Sector...Shocks, Production, Exports and Market Prices: An Analysis of the Rice Sector...
Shocks, Production, Exports and Market Prices: An Analysis of the Rice Sector...
 
Anticipatory cash for climate resilience
Anticipatory cash for climate resilienceAnticipatory cash for climate resilience
Anticipatory cash for climate resilience
 
2023 Global Report on Food Crises: Joint Analysis for Better Decisions
2023 Global Report on Food Crises: Joint Analysis for Better Decisions 2023 Global Report on Food Crises: Joint Analysis for Better Decisions
2023 Global Report on Food Crises: Joint Analysis for Better Decisions
 

Recently uploaded

How to Manage Access Rights & User Types in Odoo 17
How to Manage Access Rights & User Types in Odoo 17How to Manage Access Rights & User Types in Odoo 17
How to Manage Access Rights & User Types in Odoo 17
Celine George
 
FINAL MATATAG Kindergarten CG 2023 pdf
FINAL MATATAG Kindergarten CG 2023   pdfFINAL MATATAG Kindergarten CG 2023   pdf
FINAL MATATAG Kindergarten CG 2023 pdf
maricelrudela
 
Benchmarking Sustainability: Neurosciences and AI Tech Research in Macau - Ke...
Benchmarking Sustainability: Neurosciences and AI Tech Research in Macau - Ke...Benchmarking Sustainability: Neurosciences and AI Tech Research in Macau - Ke...
Benchmarking Sustainability: Neurosciences and AI Tech Research in Macau - Ke...
Alvaro Barbosa
 
NAEYC Code of Ethical Conduct Resource Book
NAEYC Code of Ethical Conduct Resource BookNAEYC Code of Ethical Conduct Resource Book
NAEYC Code of Ethical Conduct Resource Book
lakitawilson
 
Odoo 17 Events - Attendees List Scanning
Odoo 17 Events - Attendees List ScanningOdoo 17 Events - Attendees List Scanning
Odoo 17 Events - Attendees List Scanning
Celine George
 
New Features in Odoo 17 Sign - Odoo 17 Slides
New Features in Odoo 17 Sign - Odoo 17 SlidesNew Features in Odoo 17 Sign - Odoo 17 Slides
New Features in Odoo 17 Sign - Odoo 17 Slides
Celine George
 
formative Evaluation By Dr.Kshirsagar R.V
formative Evaluation By Dr.Kshirsagar R.Vformative Evaluation By Dr.Kshirsagar R.V
formative Evaluation By Dr.Kshirsagar R.V
DrRavindrakshirsagar1
 
Our Guide to the July 2024 USPS® Rate Change
Our Guide to the July 2024 USPS® Rate ChangeOur Guide to the July 2024 USPS® Rate Change
Our Guide to the July 2024 USPS® Rate Change
Postal Advocate Inc.
 
Parent PD Design for Professional Development .docx
Parent PD Design for Professional Development .docxParent PD Design for Professional Development .docx
Parent PD Design for Professional Development .docx
AntonioJarligoCompra
 
How to Empty a One2Many Field in Odoo 17
How to Empty a One2Many Field in Odoo 17How to Empty a One2Many Field in Odoo 17
How to Empty a One2Many Field in Odoo 17
Celine George
 
Allopathic M1 Srudent Orientation Powerpoint
Allopathic M1 Srudent Orientation PowerpointAllopathic M1 Srudent Orientation Powerpoint
Allopathic M1 Srudent Orientation Powerpoint
Julie Sarpy
 
2 Post harvest Physiology of Horticulture produce.pptx
2 Post harvest Physiology of Horticulture  produce.pptx2 Post harvest Physiology of Horticulture  produce.pptx
2 Post harvest Physiology of Horticulture produce.pptx
UmeshTimilsina1
 
matatag curriculum education for Kindergarten
matatag curriculum education for Kindergartenmatatag curriculum education for Kindergarten
matatag curriculum education for Kindergarten
SarahAlie1
 
Imagination in Computer Science Research
Imagination in Computer Science ResearchImagination in Computer Science Research
Imagination in Computer Science Research
Abhik Roychoudhury
 
Genetics Teaching Plan: Dr.Kshirsagar R.V.
Genetics Teaching Plan: Dr.Kshirsagar R.V.Genetics Teaching Plan: Dr.Kshirsagar R.V.
Genetics Teaching Plan: Dr.Kshirsagar R.V.
DrRavindrakshirsagar1
 
Power of Ignored Skills: Change the Way You Think and Decide by Manoj Tripathi
Power of Ignored Skills: Change the Way You Think and Decide by Manoj TripathiPower of Ignored Skills: Change the Way You Think and Decide by Manoj Tripathi
Power of Ignored Skills: Change the Way You Think and Decide by Manoj Tripathi
Pankaj523992
 
Node JS Interview Question PDF By ScholarHat
Node JS Interview Question PDF By ScholarHatNode JS Interview Question PDF By ScholarHat
Node JS Interview Question PDF By ScholarHat
Scholarhat
 
MVC Interview Questions PDF By ScholarHat
MVC Interview Questions PDF By ScholarHatMVC Interview Questions PDF By ScholarHat
MVC Interview Questions PDF By ScholarHat
Scholarhat
 
Introduction to Banking System in India.ppt
Introduction to Banking System in India.pptIntroduction to Banking System in India.ppt
Introduction to Banking System in India.ppt
Dr. S. Bulomine Regi
 
Introduction to Google Productivity Tools for Office and Personal Use
Introduction to Google Productivity Tools for Office and Personal UseIntroduction to Google Productivity Tools for Office and Personal Use
Introduction to Google Productivity Tools for Office and Personal Use
Excellence Foundation for South Sudan
 

Recently uploaded (20)

How to Manage Access Rights & User Types in Odoo 17
How to Manage Access Rights & User Types in Odoo 17How to Manage Access Rights & User Types in Odoo 17
How to Manage Access Rights & User Types in Odoo 17
 
FINAL MATATAG Kindergarten CG 2023 pdf
FINAL MATATAG Kindergarten CG 2023   pdfFINAL MATATAG Kindergarten CG 2023   pdf
FINAL MATATAG Kindergarten CG 2023 pdf
 
Benchmarking Sustainability: Neurosciences and AI Tech Research in Macau - Ke...
Benchmarking Sustainability: Neurosciences and AI Tech Research in Macau - Ke...Benchmarking Sustainability: Neurosciences and AI Tech Research in Macau - Ke...
Benchmarking Sustainability: Neurosciences and AI Tech Research in Macau - Ke...
 
NAEYC Code of Ethical Conduct Resource Book
NAEYC Code of Ethical Conduct Resource BookNAEYC Code of Ethical Conduct Resource Book
NAEYC Code of Ethical Conduct Resource Book
 
Odoo 17 Events - Attendees List Scanning
Odoo 17 Events - Attendees List ScanningOdoo 17 Events - Attendees List Scanning
Odoo 17 Events - Attendees List Scanning
 
New Features in Odoo 17 Sign - Odoo 17 Slides
New Features in Odoo 17 Sign - Odoo 17 SlidesNew Features in Odoo 17 Sign - Odoo 17 Slides
New Features in Odoo 17 Sign - Odoo 17 Slides
 
formative Evaluation By Dr.Kshirsagar R.V
formative Evaluation By Dr.Kshirsagar R.Vformative Evaluation By Dr.Kshirsagar R.V
formative Evaluation By Dr.Kshirsagar R.V
 
Our Guide to the July 2024 USPS® Rate Change
Our Guide to the July 2024 USPS® Rate ChangeOur Guide to the July 2024 USPS® Rate Change
Our Guide to the July 2024 USPS® Rate Change
 
Parent PD Design for Professional Development .docx
Parent PD Design for Professional Development .docxParent PD Design for Professional Development .docx
Parent PD Design for Professional Development .docx
 
How to Empty a One2Many Field in Odoo 17
How to Empty a One2Many Field in Odoo 17How to Empty a One2Many Field in Odoo 17
How to Empty a One2Many Field in Odoo 17
 
Allopathic M1 Srudent Orientation Powerpoint
Allopathic M1 Srudent Orientation PowerpointAllopathic M1 Srudent Orientation Powerpoint
Allopathic M1 Srudent Orientation Powerpoint
 
2 Post harvest Physiology of Horticulture produce.pptx
2 Post harvest Physiology of Horticulture  produce.pptx2 Post harvest Physiology of Horticulture  produce.pptx
2 Post harvest Physiology of Horticulture produce.pptx
 
matatag curriculum education for Kindergarten
matatag curriculum education for Kindergartenmatatag curriculum education for Kindergarten
matatag curriculum education for Kindergarten
 
Imagination in Computer Science Research
Imagination in Computer Science ResearchImagination in Computer Science Research
Imagination in Computer Science Research
 
Genetics Teaching Plan: Dr.Kshirsagar R.V.
Genetics Teaching Plan: Dr.Kshirsagar R.V.Genetics Teaching Plan: Dr.Kshirsagar R.V.
Genetics Teaching Plan: Dr.Kshirsagar R.V.
 
Power of Ignored Skills: Change the Way You Think and Decide by Manoj Tripathi
Power of Ignored Skills: Change the Way You Think and Decide by Manoj TripathiPower of Ignored Skills: Change the Way You Think and Decide by Manoj Tripathi
Power of Ignored Skills: Change the Way You Think and Decide by Manoj Tripathi
 
Node JS Interview Question PDF By ScholarHat
Node JS Interview Question PDF By ScholarHatNode JS Interview Question PDF By ScholarHat
Node JS Interview Question PDF By ScholarHat
 
MVC Interview Questions PDF By ScholarHat
MVC Interview Questions PDF By ScholarHatMVC Interview Questions PDF By ScholarHat
MVC Interview Questions PDF By ScholarHat
 
Introduction to Banking System in India.ppt
Introduction to Banking System in India.pptIntroduction to Banking System in India.ppt
Introduction to Banking System in India.ppt
 
Introduction to Google Productivity Tools for Office and Personal Use
Introduction to Google Productivity Tools for Office and Personal UseIntroduction to Google Productivity Tools for Office and Personal Use
Introduction to Google Productivity Tools for Office and Personal Use
 

Getting data into the data repository

  • 1. Getting data into the repository: things to ponder Indira Yerramareddy, Manger of Knowledge Management and Web Nilam Prasai, Senior Data Curator International Food Policy Research Institute (IFPRI) May 16, 2019
  • 2. Research data management Care and maintenance of the data that is produced during the research Describes collection, organization, storage, documentation, dissemination and preservation of research data Defines the quality and after-life of research data Should be considered in each and every steps of research
  • 3. Research data lifecycle  The principles emphasise machine-actionability (i.e., the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal human intervention) because humans increasingly rely on computational support to deal with data as a result of the increase in volume, complexity, and creation speed of data. Fig. Research Data Lifecycle
  • 4. FAIR principles (what) set of guiding principles for scientific data management and stewardship to ensure that data are oFINDABLE (F) oACCESSIBLE (A) oINTEROPERABLE (I) oREUSABLE (R) developed and endorsed by researchers, publishers, funding agencies and others put emphasis on machine-actionability on datasets
  • 5. FAIR principles (why) help to increase the visibility of research help to save time and resources by minimizing duplicate data collection and research help to innovate and discover by providing data needed to answer research questions help to attain maximum potential of any data assets help to achieve maximum impact of research help to improve the reproducibility of research help to follow international standards, protocols and best practices
  • 6. FAIR principles (how) Findable • Metadata • Persistent identifier • Repository Accessible • Machine and human readable metadata and data • Long term storage and preservation Interoperable • Metadata schema • Standard vocabulary and ontology • Interoperable repository Reusable • Data use license • Metadata with accurate and relevant attributes https://www.force11.org/group/fairgroup/fairprinciples
  • 7. Key things to ponder when publishing research data Informed consent Data anonymization Intellectual property, ownership and copyrights Contractual and legal compliance Data files, documentations and metadata
  • 8. Do I have informed consent to share data? Scientists are required to protect the confidentiality of the respondents Language in informed consent can limit scientist’s ability to share data Use language in informed consent: such as “We may share de-identified data we collect from you…” Identified and sensitive datasets can be shared only under restrictive settings
  • 9. Is the data completely deidentified? Should not compromise confidentiality/privacy of respondents Direct and indirect identifiers should not be present in datasets that are openly public Controlled sharing should be done for datasets that can’t be deidentified completely Always use non-disclosure agreement while sharing identified datasets
  • 10. Who owns the data? Intellectual property and copyrights Confirm who has the rights and ownership to the data Confirm what intellectual property and copyrights applies to data Confirm if you plan to apply patent for the dataset, data collection methodology etc
  • 11. Is their any legal and contractual provision related to data publishing? Provisions in the contract oData security, protection, retention, transfer, sharing oConfirm if permission is needed from collaborators for data publishing Legal regulations oData security, protection, retention, transfer, sharing
  • 12. Preparing data for publishing Preparing data files Preparing documentations Preparing metadata
  • 13. Preparing data files File format File name Variable name Data values and codes Special types of data Anonymization
  • 14. Preparing documentation: key elements to consider Context Data collection methods Structure of data Quality controls Versions Access and use conditions
  • 15. Preparing documentation: key documents to include Codebook(s) Data collection instruments Sampling methodology Interviewer manual Summary report Working papers Project reports and publications
  • 16. Preparing metadata: minimum metadata elements Title Authors/Contributors Description Funder Keywords Topics Sample and sampling procedure Data collection date Time period covered in the datasets Geographic coverage Geographic unit Producer Production place Distributor
  • 17. Preparing metadata: optional metadata elements  Related publications  Related datasets  Universe  Unit of analysis  Time method  Data collector  Collector training  Frequency  Target sample size  Major deviations from the sample design  Data collection mode  Types of research instrument  Characteristics of data collection situation  Weighting  Response rate  Error notes  Estimates of sampling error  Cleaning operations
  • 18. Preparing metadata: don’t forget Persistent identifier Terms of use Data license Access conditions (if any)
  • 19. Data citation and Metadata Example from IFPRI Dataverse
  • 20. Thank you: Questions and comments(?)