Disadvantages Of Data In Research

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There are many ways of categorizing data. Primary Data: Data collected especially for the purpose of whatever survey is being conducted Secondary Data: Data that has been collected for a purpose other than your research Advantage of Primary Data: 1) The examiner gathers information particular to the problem under study. 2) There is doubtlessly about the quality of the information gathered. 3) If necessary, it might be likely to get extra information during the study period. Disadvantage of Primary Data 1) The examiner needs to match with all the hassles of data collection ▪ Deciding why, what, how, when to gather ▪ Getting the information gathered ▪ Getting money and managing financing organizations ▪ Ethical concerns 2) Ensuring …show more content…

The main methods include: 1 Questionnaires 2 Interviews 3 Focus group interviews 4 Observation 5 Case-studies 6 Scientific experiments Data protection issue There are two key areas that you will have to consider when using activity data: 7 Data can only be used for purposes, which it had been Where information is being made public (released as open data) the information needs to be suitably anonymised. Data Protection At whatever point information is gathered it is a necessity of the information security act that the client gives their authorization. Anonymisation Individual information can't be shared aside from the reasons that the client originally agreed that it could be gathered for. Then again, if the information is anonymised such that it can't be followed back to an individual then it is no more individual information and can be distributed. Along these lines, if information will be opened up, or shared, maybe to make a superior recommender framework, then one methodology is to anonymise the information. This should be possible in various diverse courses relying upon the way of the information and the reason it will be utilized for. Security of …show more content…

The terms information security, computer security and information assurance are frequently used interchangeably. These fields are interrelated and offer the basic objectives of securing the privacy, honesty and accessibility of data; then again, there are some unobtrusive contrasts between them. These distinctions lie basically in the way to deal with the subject, the philosophies utilized, and the ranges of focus. Data security is concerned with the secrecy, trustworthiness and accessibility of information paying little mind to the structure the information may take: electronic, print, or different

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