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        <datestamp>2026-09-25T17:26:39Z</datestamp>
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          <dc:title>&lt;p&gt;Raw data from the questionnaire.&lt;/p&gt;</dc:title>
          <dc:creator>Renata Caldeira Diniz (25111156)</dc:creator>
          <dc:creator>Jocieli Malacarne (25111159)</dc:creator>
          <dc:creator>Cássia Ronise Senra Silva (25111162)</dc:creator>
          <dc:creator>Marcia Cristina Senra Marinho de Lima (25111165)</dc:creator>
          <dc:creator>Natalia Pacheco de Moraes (17442034)</dc:creator>
          <dc:creator>Thais Regina Araújo dos Santos (25111168)</dc:creator>
          <dc:creator>André Bastos Daher (25111171)</dc:creator>
          <dc:creator>Júlio Castro Alves de Lima e Silva (18572488)</dc:creator>
          <dc:creator>Karla Regina da Silva Gram (25111174)</dc:creator>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Science Policy</dc:subject>
          <dc:subject>unified health system</dc:subject>
          <dc:subject>transcend technocratic perspectives</dc:subject>
          <dc:subject>strengthening symmetrical dialogues</dc:subject>
          <dc:subject>highly qualified professionals</dc:subject>
          <dc:subject>consult local leaders</dc:subject>
          <dc:subject>pierre bourdieu ’</dc:subject>
          <dc:subject>informed consent form</dc:subject>
          <dc:subject>frequently cited barrier</dc:subject>
          <dc:subject>fiocruz &amp;# 8217</dc:subject>
          <dc:subject>div &gt;&lt; p</dc:subject>
          <dc:subject>clinical field research</dc:subject>
          <dc:subject>integrate community residents</dc:subject>
          <dc:subject>1 %), misinformation</dc:subject>
          <dc:subject>convert scientific capital</dc:subject>
          <dc:subject>brazil &lt;/ p</dc:subject>
          <dc:subject>1 %),</dc:subject>
          <dc:subject>scientific field</dc:subject>
          <dc:subject>researcher ’</dc:subject>
          <dc:subject>habitus &lt;/</dc:subject>
          <dc:subject>frequent barrier</dc:subject>
          <dc:subject>fiocruz calls</dc:subject>
          <dc:subject>assent form</dc:subject>
          <dc:subject>6 %),</dc:subject>
          <dc:subject>field teams</dc:subject>
          <dc:subject>study revealed</dc:subject>
          <dc:subject>social capital</dc:subject>
          <dc:subject>significant opportunity</dc:subject>
          <dc:subject>sectional design</dc:subject>
          <dc:subject>remote locations</dc:subject>
          <dc:subject>reflexive sociology</dc:subject>
          <dc:subject>recognize communities</dc:subject>
          <dc:subject>quantitative data</dc:subject>
          <dc:subject>methods study</dc:subject>
          <dc:subject>major constraint</dc:subject>
          <dc:subject>largely driven</dc:subject>
          <dc:subject>knowledge production</dc:subject>
          <dc:subject>institutional capacity</dc:subject>
          <dc:subject>graduate degrees</dc:subject>
          <dc:subject>equity within</dc:subject>
          <dc:subject>engagement paradox</dc:subject>
          <dc:subject>convergent mixed</dc:subject>
          <dc:subject>case study</dc:subject>
          <dc:subject>capital asymmetries</dc:subject>
          <dc:subject>bourdieusian analysis</dc:subject>
          <dc:subject>analytical categories</dc:subject>
          <dc:subject>although 90</dc:subject>
          <dc:subject>almost ubiquitous</dc:subject>
          <dc:subject>5 %)</dc:subject>
          <dc:subject>3 %).</dc:subject>
          <dc:description>&lt;p&gt;This file contains the complete labeled dataset. The data have been fully de-identified, with all direct and indirect identifiers (e.g., city, date of birth, age, academic background, and profession/job title) removed to protect participant confidentiality.&lt;/p&gt; &lt;p&gt;(CSV)&lt;/p&gt;</dc:description>
          <dc:date>2026-09-25T17:26:34Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1371/journal.pone.0359217.s004</dc:identifier>
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