This document aims at reporting the progress of the Indofarm Project (CIRAD-SPKS partnership) and proposing improvements for the next surveys. So far, one village from Sumatra (Bencah Umbai, Riau Province) has been fully surveyed, totalling 98 smallholders and mapping 111 oil palm plots. The use of tablets supporting the Kobo ToolBox questionnaires and the GPS for mapping has worked very well for data collection. However a first analysis shows that the quality of the data itself is not fully satisfactory. We should therefore work on improving the survey's method and questionnaire; refine the training of surveyors and the set up data quality management procedures. The first part of the report explores the way the surveys are conducted by the team recruited by SPKS as well as the quality of the data obtained. We found that the surveyors often do the interview at a pace that doesn't allow good data verification, sometimes up to 7 interviews in the same day. The main issue in terms of data input and data quality is the identification of smallholders and plots. The ID numbers (NIK ad plot ID) have many typos and sometimes duplicates. Monitoring and correcting those errors is critical for further data analysis but also is we want the survey to serve as a basis for land ownership recognition. The agronomical data in terms of planting density, production etc. is sometimes incoherent. This is mostly a problem of conversion and units. A field book will be provided to the survey team for the next villages to help with data checking and agronomical observations. It appeared that the survey is very long (several hundreds of question) and that we have to define the main focus of our research. This does not necessarily mean we have to drop questions but that we have to define clearly the ones that will serve research purposes to improve the data quality and data interpretation on those specific topics. It is also important to determine what the project can provide to farmers in th