This report provides a summary of an online workshop on March 16th 2020, organised in place of a planned fringe meeting of the World Bank Land and Poverty Conference which was cancelled due to the COVID-19 pandemic. The 2-hour digital workshop brought together over 40 participants from across the world to discuss key data and key open data use-cases for land governance. This report is written based on workshop recordings and shared notes.

Cadastral mapping in Pakistan is often sketched on paper or cloth and generally falls below cartographic standards, lacking details on coordinate systems, datum and directional information of parcel lines. Survey numbers for parcel identification also lack digital interoperability. Parcel measurements and ownership information are manually recorded in multiple separate registers. The objective of this study is to leverage geospatial technology for automation, auditing and validation of present manual cadastral mapping in Pakistan.

Agriculture is directly linked to the socio-economic development of every region. Agriculture impacts us all, whether we are seeking food security, better health or striving to conserve natural resources. Goal 2 of Sustainable Development Goals (SDGs) underlines the significance of agriculture as a means to achieve food security. United Nations in its recently published report titled “World Economic Situation and Prospects 2020”(UN, 2020) has declared agriculture as one of the global priorities for achieving high-quality health care and formal employment opportunities.

Fit-for-purpose land administration (FFPLA) concept is widely applied in the emerging land administration systems (LASs). This paper aims to contribute to the development of evaluation of the spatial aspect of FFPLA. A review of evaluation models for LASs is made in relation with rationale of FFPLA to identify gaps related to evaluation of a FFPLA and to build up milestones and measurement criteria.

Spatial data are a basis in development of multipurpose cadastre. This paper aims to evaluate spatial data acquisition and management techniques for multipurpose cadastre in Ethiopia and Rwanda. The research was conducted using a qualitative research method, a review of existing literature on spatial data acquisition and management techniques for cadastral purposes. The empirical data have also been collected.

The Open Up Guide on Land Governance is a resource  aimed to be used by governments from developing countries to collect and release land-related data to improve data quality, availability, accessibility and use for improved citizen engagement, decision making and innovation. It sets out:

1. Key datasets for land management accountability, and how they should be collected, stored, shared and published for improving land governance and transparency;

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This publication is a product of the GEF-funded FAO project ‘Decision Support for Mainstreaming and Scaling Out Sustainable Land Management (DS-SLM)’ which has developed a decision support framework (DSF). The DSF integrates experience from work with land degradation (LD) and SLM into an overall strategy for mainstreaming and scaling out SLM at different spatial and temporal scales. This publication serves as a step-by-step guide for the application and implementation of the DSF during planning, design and implementation of SLM interventions.