Global Open Data Index - Land Ownership

This dataset contains the score and the ranking for the "Land Ownership" component of the Global Open Data Index (GODI) 2016/2017. 

The "Land Ownership" component of the GODI was jointly assessed by Open Knowledge International - OKI and Cadasta Foundation. The main idea in this specific case is that data should include maps of lands with parcel layer that displays boundaries in addition to a land registry with information on registered parcels of land. The Index focuses on assessing open land tenure data (describing the rules and processes of land property). Responsible use may enable tenure security and increase the transparency of land transactions. For more information please visit http://cadasta.org/open-data/overview-of-property-rights-data/ or https://index.okfn.org/dataset/land/ .

The GODI is a tool to educate civil society and governments about open data publication. It is also supposed to spark debate about the state of open government data. The 2016/2017 GODI assessed 15 categories of data, including Government Budget, National Statistics, Election Results, Company Register and Land Ownership among others. Each category, including "Land Ownership", is assessed against 6 criteria:

1) Openly licenced - Is the data openly licensed/in public domain? (20 points)
2) Open and machine readable format - Is the data in open and machine-readable file formats? (20 points)
3) Downloadable at once - Is the data downloadable at once?  (15 points)
4) Up-to-date - Is the data up-to-date? (15 points)
5) Publicly available - Is the data available online without the need to register or request access to the data? (15 points)
6) Free of charge - Is the data available free of charge? (15 points)

The GODI Index looks at specific data using specific survey questions. The result is a final score that has to be read carefully. Firstly, it exclusively refers to data with mandatory characteristics. If no dataset can be found online matching these characteristics, the data will not be considered to be available (equalling a score of 0%). Behind fairly high scores we often do not find open data, but access-controlled data, or public data in poorly structured, or not machine-readable formats. The score, therefore, does not show a linear increase of openness. Instead, it highlights areas where the government may improve open data publication. Only 100% means that the data is open. For more information about the scoring technique and the GODI methodology, please visit: https://index.okfn.org/methodology/.

The methodology used in the Global Open Data Index has changed over time; significantly so between 2015 and 2016. For this reason, the results are not directly comparable over time and this is why we only included results for the most recent wave of GODI (2016/2017). Previous rounds are available at https://index.okfn.org/dataset/land/.

License
Open Data Commons Public Domain Dedication and License