The Brazilian Seismographic Integrated Systems (BRASIS): Infrastructure and data management

In geophysics and seismology, raw data need to be processed to generate useful information that can be turned into knowledge by researchers. The number of sensors that are acquiring raw data is increasing rapidly. Without good data management systems, more time can be spent in querying and preparing datasets for analyses than in acquiring raw data. Also, a lot of good quality data acquired at great effort can be lost forever if they are not correctly stored. Local and international cooperation will probably be reduced, and a lot of data will never become scientific knowledge. For this reason, the Seismological Laboratory of the Institute of Astronomy, Geophysics and Atmospheric Sciences at the University of São Paulo (IAG-USP) has concentrated fully on its data management system. This report describes the efforts of the IAG-USP to set up a seismology data management system to facilitate local and international cooperation. © 2011 by the Istituto Nazionale di Geofisica e Vulcanologia. All rights reserved.

Socioeconomic, financial and production infrastructure profile of farmers in rural settlements in the western region of the state of São Paulo, Brazil

Family agriculture, mostly represented by rural settlements especially in the state of São Paulo, makes up rural establishments in Brazil. Current investigation collects, analyzes and compares data on farmers on two rural settlements in the western region of the state of São Paulo, specifically in the municipality of Rancharia, with regard to their socioeconomic, financial and productive infrastructure profile, coupled to information on eventual restrictions to rural credit, by an analysis based on descriptive statistics. Results show that there are different factors between farmers and production systems, which cause loan restrictions due to such differences as age, agricultural and cattle-breeding activity, technical assistance and management. The valorization of these differences should be taken into account for the construction of new events, without extremes, and work for situations featuring demand-based development and characteristics of the locality