The document discusses research data management at the International Food Policy Research Institute (IFPRI) and highlights various data types, repositories, and management strategies employed to enhance data interoperability. It outlines the role of staff in data quality control, user support, and accessibility while promoting the use of linked open data and interactive tools. IFPRI aims to improve data availability and interoperability across agricultural sectors by providing data in multiple formats and fostering partnerships.

1. Research Data Management at International
Food Policy Research Institute-IFPRI
RDA-IG Agriculture Data Interoperability - P5 Meeting Session
March 9, 2015
Luz Marina Alvaré
Head, Knowledge Management
With contributions by:
Indira Yerramareddy, Cristina
Perez, and Nilam Prasai

2.  A 1992 social accounting matrix (SAM) for Tanzania as a Discussion Paper
and distributed in CD-ROM
First Release of Data Research
SAM Data

3. Since then IFPRI Datasets
First IFPRI Data
A 1998 Social
Accounting Matrix
(SAM) for Tanzania
by Peter Wobst
IFPRI Data by Type
Household
Surveys(47)
Social Accounting
Matrix (58)
Institution Level (6)
Country Level (56)
Regional (3)
Agricultural R&D
Indicators (51)
Geospatial (4)
IFPRI Data by Region
Africa (60)
Asia (24)
Latin America (21)

4.  Internal repositories for collected data
 Web
 Open Repositories (Dataverse, Datahub)
 Tableau
 Structured Data
 Ontologies
 API
Change: Infrastructure

5.  Data Curator (2011): prepare data for public consumption; make
data available from mutable repositories and tools; generation of
interactive data and visualizations
 Knowledge Management Coordinator (2014): LOD, Ontologies,
VIVO
 Research Data Manager (pending): support researchers with the
collection and analysis of data generated by research; preparing
data management plans
Change: Staff

6.  Provide quality control, make data complete, valid and provide
documentation
 Facilitate to find data, making it available at repositories and
other resources (public and private)
 Publish the data in as many formats and possible
 Make it interoperable
 Support data users (clients)
 Provide training
What we do with the data

7. IFPRI Data Users
IFPRI
DATA
Students
Researchers
Organizations
others
Policymakers
Faculty
Addis Ababa University
Centre for Policy Dialogue
Columbia University
George Washington University
Islamic Development Bank
Jawaharlal Nehru University
Min. of Economic Planning & Dev.
MIT
UC Berkeley
University of Tokyo
Wageningen University

8. Remixed by Users

9. IFPRI Linked Open Data

10. Use of Global Hunger Index LOD

11. LandPortal
IFPRI’s GHI LOD
Integration provides
a consolidated,
comparative view
Data File Formats:
JSON, XML, CSV

12.  Increase interoperability
across the CGIAR and others
in the agricultural sector
 IFPRI is making its data
available in different formats
to increase interoperability
Data Interoperability
IFPRI
CGIAR
Centers
FAO
Others
Land
Portal

13. Agricultural Technology Ontology
 Represents the work done through the CGIAR
Research Programs
 Goal to create a way to compare outputs to
countries’ National Agricultural Investment Plans
 Link to Crop Ontology (Bioversity)
 AGROVOC and Geopolitical ontology (FAO)

14. Data Portals
Interactive Tools
Linked Open Data (LOD)

15.  http://dvn.iq.harvard.edu/dvn
Access IFPRI Datasets Through
 http://datahub.io/group/ifpri
 http://www.ifpri.org/datasets

16.  Increase data access and availability (formats, users)
 Interoperability (policies, tools, taxonomies, standards)
 Higher demand, has increased the need of user support
 Make data more valuable by working in partnerships
 Promotion of data hakatons, datatons, ideatons…
 Incorporate crowdsourcing functions
 Support the side of using open data
 Provide access to more granular data
 Training
Challenges

17. Thank You…