Part II Collecting and analysing data If you find yourself with conflicting datasets, note the variation of the data in your report and, if possible, explain why you think there is a difference between the datasets (e.g. due to variation in the data collection method) and which of the datasets is the most valid, reliable or impartial. Reviewing the metadata will help you to make this kind of assessment. CASE STUDY: GAPS IN ADMINISTRATIVE STATISTICS ON CHILDREN WITH LEARNING DISABILITIES IN MALAYSIA In its study on access to education by children with learning disabilities, outlined previously, the Human Rights Commission of Malaysia (SUHAKAM) collected data from the Ministry of Education and the Department of Social Welfare (DSW). They discovered that more children with learning disabilities were enrolled in primary education than were registered with the DSW. SUHAKAM was also informed that the Ministry of Health kept another set of data on children with disabilities. While recognizing that registering with the DSW is voluntary, SUHAKAM recommended that action be taken to ensure the systematic collection, consolidation and dissemination of data on children with learning disabilities among relevant government agencies and to the general public. Students in Punjab Province, Pakistan. Photo by STARS/Kristian Buus, reproduced under a CC BY-NC-ND 2.0 license. Chapter 6: Finding secondary data | 67