The data revolution – characterised by the transition to big data, open data and new digital data infrastructures [1] – is projected to make an astonishing 44 billion terabytes of digital data and information available by the end of 2020 [2]. Despite this plethora of information now available to us, about 1 billion people in 140 countries still feel insecure about their land and property rights [3].
Opening up land-related administrative data, combining it with data from other sources and processing and making this data available as easily accessible information for women and men equally could be a means to counteracting land corruption in land management, land administration and land allocation. But does open data and enhanced data transparency indeed help to counteract land corruption?
Corruption is the abuse of entrusted power for private gain, and corrupt practices in the context of land administration and land management have come to be known as ‘land corruption.’ Unfortunately, land corruption is all too common, with one in every five people across the globe paying bribes to access land services.
The debate about compensation of former white farmers in Zimbabwe continues to rage. The compensation agreement signed in July agreed a total amount of US$3.5 billion to pay for ‘improvements’ to the land that was expropriated. After 20 years of discussion, this was a major step forward. However, there seem to be multiple positions on the agreement and little consensus, along with much misunderstanding. However, some things are happening, and a joint resource mobilisation committee has been established with technical support from the World Bank and others.
We have an ambitious objective here at the Global Data Barometer: To map the landscape of data for public good. To do so, we’ll be gathering information about data governance, capability, availability, and use and impact in 100+ countries. Because data for public good can play different roles and surface differently across sectors—for example, land data, transportation data, and corporate ownership data all have different histories, frameworks, and uses—we’ll also be delving into thematic areas.
Here is where local and granular studies gain relevance for GDB.
The impact of COVID-19 has been devastating around the world. In response, countries have put in place emergency measures to help their citizens and private firms weather the pandemic and recovery programs to boost the economy once the lockdown restrictions can ease.
Most developing economies do not have the fiscal space to implement broad recovery programs, as the revenues from key economic sectors have collapsed, expenditures to respond to the pandemic have escalated rapidly, and capital outflows have increased.
"Information is power but information sharing is even more powerful." With this statement, during his opening of the side event on blockchain at the LANDac encounter 2020, John Dean Markunas, Power of Chain Consultancy (PoC) cited me. I am now citing him back to explain what I meant.
I was assigned to lead the preparation of the assessments and amendments to the land consolidation legislation in 2016. That appeared to be a burdensome task. The first two land consolidation projects in North Macedonia were initiated according to the existing Land Consolidation Law and the implementation was blocked. The Law simply had no legal solutions for the identified field situations. The problems were many and each was ascending the other in its magnitude and sensitivity.
It happened on the 29th of January 2020 in Bitola in North Macedonia. More than 200 landowners from Egri village gathered in Bitola’s theatre, taking turns to vote on the Land Consolidation Plan. The serious faces of men and women, old and young, were a sign that they may have been as nervous as we were ourselves. The voting on the first majority based land consolidation ever in the country was coming to an end. And then the result was there….. 83% in favour of land consolidation! The villagers were cheering. Our team was overwhelmed by emotion.
