<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
    <responseDate>2026-05-05T18:30:24.980Z</responseDate>
    <request verb="GetRecord" identifier="ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:7757" metadataPrefix="dim">http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai</request>
    <GetRecord>
        <record>
            <header>
                <identifier>ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:7757</identifier>
                <datestamp>2020-11-03T19:15:38Z</datestamp>
                <setSpec>1</setSpec>
            </header>
            <metadata>
                <dim:dim>
                    <dim:field mdschema="dc" element="title" lang="en">The challenges of qualitative data synthesis for socio-environmental assessments</dim:field>
                    <dim:field mdschema="dc" element="date" qualifier="issued">2020</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/7757</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">ISBN 978-86-7912-735-8</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:31345" confidence="-1">F. Alimpić</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="etfid:890" confidence="-1">M. Adžemović</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0001-5310-5779" confidence="-1">J. Milovanović</dim:field>
                    <dim:field mdschema="dc" element="description" qualifier="abstract">Available data regarding environmental sciences represents an extremely
complex set of inputs since that field of science became one of the most
dynamic areas of scientific research. Data science has a huge impact on
environmental analysis, offering an abundant scope of new techniques that
are used to understand even the most seldom environmental processes.
There is no doubt that it is a multidisciplinary challenge because it deals with
many fields such as statistics, artificial intelligence, social sciences, psychology, economics, health, etc. Environmental studies forced societies to try to
answer questions regarding processes of climate change, human pressures,
negative impacts on land, water, and air quality, energy efficiency, health, and
food safety, biodiversity and many other aspects. In order to answer those
questions, the results of qualitative data analysis must be taken into account
when assessing the situation and defining measures for the improvement
of particular ecosystems. The aim of this paper is to emphasize a necessity
for qualitative data collecting and analyzing through presentation of some
assessment examples aimed to define importance of social dimensions in
environmental sustainability.</dim:field>
                    <dim:field mdschema="dc" element="type">conferenceObject</dim:field>
                    <dim:field mdschema="dc" element="citation" qualifier="spage">65</dim:field>
                    <dim:field mdschema="dc" element="citation" qualifier="epage">69</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="doi">10.15308/Sinteza-2020-65-69</dim:field>
                    <dim:field mdschema="dc" element="source">BOOK OF PROCEEDINGS</dim:field>
                </dim:dim>
            </metadata>
        </record>
    </GetRecord>
</OAI-PMH>
