Presented by Haruni Krisnawati, ITPC Lead Coordinator, on the ITPC side event “Could a virtual collaborative platform help to preserve tropical peatlands?” at the XV World Forestry Congress, Seoul, Republic of Korea, 5 May 2022.

1. ITPC Knowledge Platform:
connecting knowledge and research to people
Haruni Krisnawati

2. ITPC knowledge platform
 A go-to place for information on peatlands
and provide space for users to browse,
search and contribute a variety of
knowledge products.
 Hosts two main users:
 Knowledge users – researchers, academics,
policymakers, students and members of the
public seeking reliable data to build and boost
their own analyses for their own needs; and
 Knowledge providers – research organizations,
government agencies and private organizations.

3. Objectives
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To provide a platform on which to
list, capture and showcase all
relevant and publicly available
knowledge relating to peatland
information
A tool for knowledge exchange and
capacity building
To enable secondary use by
disseminating and communicating
available knowledge
Act as media for a community of
practice on sustainable peatlands
Help disseminate policy and best
practice experiences on sustainable
tropical peatland management
To increase awareness and
discoverability of peatland-related
open data
To promote the birth of new
knowledge on peatlands
Knowledge
Platform

4. ITPC Knowledge Portal
Inter platform and people interactions
This diagram illustrates how
people use the knowledge
portal and how the portal
platform interacts with
other platforms.

5. The architecture

6. Entity relationship

7. Structure of Expert Directory

8. Expert Directory list
In total there are more than
2,000 authors listed in this
directory.
Comply with GDPR (General Data
Protection Regulation) to get
authors permission to add
their details on ITPC website.

10.  The expert information is being
manage using VIVO.
 Open source software and an
ontology for representing
scholarship
 Enables the discovery of
research and scholarship
across disciplines
 Linked open data

11.  Details information – profiles, skills,
works, visualization networks -
listed on each expert
 Each publication has Altmetrics
score and citation numbers showed
to highlight the popularity of the
publication and how they serve the
users
Expert information

12.  The network graph visualize relationship of
author collaboration with others expert.
 Relationship line thickness is base on number
of publications being collaborate with others
expert.
 The visualization focus on showing the
connections of the selected person.
Network

13.  Provides a representation of the
research areas of each profile as a
"map of science".
 The size of the bubbles indicates the
relative number of papers in that
area.
 The colors indicate the subject areas.
 The connections on the map indicate
the co-author tendencies of authors
in each of the disciples.
 Disciplines are grouped on the map
by co-author tendencies.
Map of sciences

14. Current development
 Static.
 Act as a metadata
harvester
 Current features is to
encourages outputs
discovery, expert
finding, and network
analysis.

15. Next Step
 Dynamic.
 Additional function and
feature that made the static
directory becoming more
interactive
 Inviting data providers to
submit their work and make
it available to the public
under agreed data-sharing
protocols

16. Haruni Krisnawati
Thank you