18 resultados para market research methodology


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Our study considers the natural resources of the Miombo forests in Cabo Delgado from a broad ecosystems perspective. Thus, our view goes beyond the disciplinary approaches of forestry, agronomy, biology or zoology, and also of the social sciences, namely anthropology, history, sociology, political science or economics. The present study aims to establish a dialogue and create synergies between Miti Ltd. – the logging company and owner of the forest concessions – as well as government and state structures at the various levels and the communities – through the Committees on Natural Resources – in order to promote the sustainable use of resources and ecosystems. The research methodology we used can broadly be described as moderated transdisciplinary interaction for action-research based on the approach known as Learning for Sustainability (LforS, http://www.cde.unibe.ch/Pages/Project/2/14/Learning-for-Sustainability-Extension-Approach.aspx). The research methods used include: LforS seminars; field work; forests observations focusing, among others, on ecosystems, trees, wildlife, and burned areas; visits to farms; and interviews. We conducted both collective interviews and individual interviews, including with key informants. The main results indicate that members of the Committee on Natural Resources have a dual attitude: their statements defend the paradigm of sustainable use of natural resources as well as their own immediate monetary gain. They are willing to apply the values, concepts and theories of sustainable development that underpin the establishment of Committees on Natural Resources if they are paid for their work or if they can derive direct benefits from it, i.e. if they can earn a salary or allowance. If this does not happen, however, they are willing to allow actors to engage in illegal hunting or logging activities. This dual attitude also exists in relation to forestry operators. If the concession workers pay the committee members in cash or provide goods, they can run their business even if they violate the law. Natural forest regeneration in Nkonga and Namiune already shows the impact of such use. Although there are many saplings that could basically ensure continuous regeneration under sustainable management, repeated burning is damaging the young trees, deforming them and killing a great number of them. Campaigns against uncontrolled fires are ineffective because the administrative and political authorities have a dual attitude as well and are also part of the group that uses resources to their own profit and benefit. There are institutional structures within the administration, populations, and communities to perform regulating functions, create and implement rules, punish offenders, and oversee resource use. However, they feel that since they are not paid for performing these functions, they do not have to do so. This attitude shows a lack of awareness, but also indicates a situation where everyone seeks to derive maximum benefits from existing resource use patterns. Anything goes.

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BACKGROUND Record linkage of existing individual health care data is an efficient way to answer important epidemiological research questions. Reuse of individual health-related data faces several problems: Either a unique personal identifier, like social security number, is not available or non-unique person identifiable information, like names, are privacy protected and cannot be accessed. A solution to protect privacy in probabilistic record linkages is to encrypt these sensitive information. Unfortunately, encrypted hash codes of two names differ completely if the plain names differ only by a single character. Therefore, standard encryption methods cannot be applied. To overcome these challenges, we developed the Privacy Preserving Probabilistic Record Linkage (P3RL) method. METHODS In this Privacy Preserving Probabilistic Record Linkage method we apply a three-party protocol, with two sites collecting individual data and an independent trusted linkage center as the third partner. Our method consists of three main steps: pre-processing, encryption and probabilistic record linkage. Data pre-processing and encryption are done at the sites by local personnel. To guarantee similar quality and format of variables and identical encryption procedure at each site, the linkage center generates semi-automated pre-processing and encryption templates. To retrieve information (i.e. data structure) for the creation of templates without ever accessing plain person identifiable information, we introduced a novel method of data masking. Sensitive string variables are encrypted using Bloom filters, which enables calculation of similarity coefficients. For date variables, we developed special encryption procedures to handle the most common date errors. The linkage center performs probabilistic record linkage with encrypted person identifiable information and plain non-sensitive variables. RESULTS In this paper we describe step by step how to link existing health-related data using encryption methods to preserve privacy of persons in the study. CONCLUSION Privacy Preserving Probabilistic Record linkage expands record linkage facilities in settings where a unique identifier is unavailable and/or regulations restrict access to the non-unique person identifiable information needed to link existing health-related data sets. Automated pre-processing and encryption fully protect sensitive information ensuring participant confidentiality. This method is suitable not just for epidemiological research but also for any setting with similar challenges.