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About DiCRA
Data in Climate Resilient Agriculture (DiCRA) is a collaborative digital public good which provides open access to key geospatial datasets pertinent to climate resilient agriculture. These datasets are curated and validated through collaborative efforts of hundreds of data scientists and citizen scientists across the world. The pattern detection and data insights emerging from DiCRA are aimed towards strengthening evidence-driven policy making for climate resilient food systems. DiCRA is guided by the digital public good principles of open access, open software, open code and open APIs.
Partners
The platform is facilitated by Government of Telangana and UNDP, in collaboration with Zero Huger Lab (Netherlands), JADS (Netherlands), ICRISAT, PJTSAU, and RICH. It is part of UNDP’s ‘Data for Policy’ initiative supported by Rockefeller Foundation.
Data Flow
Data collaboration and synchronization is vital for implementing this technology solution. This platform aims to incorporate data from Open data platforms, Non-Public Domain datasets through data partnerships and incorporate data from open APIs.
Following is a depiction of the dataflow proposed under the project -
<img width="347" alt="image" src="https://user-images.githubusercontent.com/42402451/138163914-85322590-f0ea-44f4-88e6-4452f49d7057.png">Terms of Service and Use
The DiCRA Platform is an open data platform managed by the United Nations Development Programme. These Terms of Service (hereafter ‘Terms’ or ‘these Terms’) describe how DiCRA is managed and how the platform should be used. UNDP will update these Terms as needed, and will post notice of significant updates on our GitHub Page and through the DiCRA Platform. All organizations and individuals using this platform are bound by these Terms. If you do not agree with the Terms, you should discontinue use of DiCRA. If you have any questions or comments about these Terms or DiCRA, please leave a comment on the Discussions tab of our GitHub repository or send an email to acceleratorlab.in@undp.org
DiCRA Platform encourages collaborations from the open source community to improve our datasets, analytics, and software. All the contributors have to adhere to the Code of Conduct detailed here.
Disclaimer
The DiCRA online platform and its content are made available by the UNDP team. The content providers make no warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of this content or its online services, nor represent that its use may not potentially infringe property rights. UNDP makes no warranty that DiCRA online services and its content will be uninterrupted or error-free, nor that any defects will be corrected, nor that its online services or content will be free of viruses or other harmful components. UNDP assumes no liability for possible damages or implications which occur by direct or indirect use of DiCRA services or content.
Privacy
User contact details are only shared with the administrator of the DiCRA Platform if the user needs to download datasets.
UNDP upholds the highest standard of data protection for the personal data of DiCRA users and organization administrators. In case such personal data is exposed, UNDP will notify all affected individuals and remedy the incident.
UNDP continually seeks to understand the behavior of users on the DiCRA platform in order to make improvements. To do so, UNDP uses third-party analytics services, such as Google Analytics. This service use cookies stored on users’ devices to send encrypted information to Google Analytics about how users arrived at DiCRA, what pages they visited on DiCRA, and their actions within those pages. UNDP does not send identifying information (including names, usernames, or email addresses) to Google Analytics. Google Analytics’ use of the data collected from the DiCRA platform is governed by their respective Terms of Use. If you would like to disable the tracking described above, you can install the Google Analytics Opt-out Browser Add-on to disable Google Analytics tracking. The data collected by these tracking systems will be retained indefinitely in order to understand how user behavior is changing over time.
Data Licensing
Each of the datasets made available through the DiCRA PLatform have their own data use licensing and citation requirement. More information regarding this is made available at the following link. By downloading the data through DiCRA Platform, the user acknowledges the individual data source's data use agreements and have to cite the data source as per the citation format of the dataset.
Our Team
DiCRA is a collaborative effort of national and International data scienstists, policy experts, researchers and agriculture domain experts
Core Team
- Swetha Kolluri, Head of Experimentation, UNDP in India
- Parvathy Krishnan, Data Science Lead, DiCRA
- Shivang Pandey, Geospatial Data Scientist, DiCRA
- Ambarish Narayanan, CTO, mistEO
Peer Review Team
- Shiva Reddy Koti, Scientist/Engg IIRS, ISRO
- E.V.S. Prakasa Rao, Honorary Scientist CSIR-Fourth Paradigm Institute, and Executive Committee Member at National Academy of Agricultural Sciences
- Lokendra Chauhan, Founder at Qen Labs Inc. Focused on GeoAI for sustainability in agriculture and SDG measurements
- Daman deep Singh, Senior Consultant at EY
- Jeswanth Gutti, AI Team Lead at Elevate Tech
- Divyang Soni, Geospatial Developer, IIT Bombay
- Samuel Mwamburi Mghendi, Data Analyst, ONA, Kenya and UNEP
- Mohammadmehdi Fayazbakhsh, Senior Data Scientist, OMRON
- Ulrick Loïc Nguekam Emalieu, Data Scientist, KPN
- Mahi Tazwar, Geo-Information Science, University of Twente
- Parmita Ghosh, Remote Sensing Data Scientist, CORTEVA Agriscience
- Rampunit Kumar, Lumiq.ai, IIT Jodhpur
- Amruth Kiran, Senior Associate - Geospatial Lab, Indian Institute for Human Settlements