This dataset contains the results of a survey about the use of open government data applied to public agents working in public institutions in Brazil. It has two sets, one with questionnaire responses and metadata and the second with a coding table with interview extracts: 1) In the first dataset, each row holds a response to a questionnaire about the public agent's perceptions of the use and reuse of open government data in Brazilian public institutions. Columns store the questionnaire questions. Data were collected between 8 June and 13 July 2021, and this sample is composed of responses from 40 federal, state, and municipal public administrators. Thus, this dataset contains 40 rows and 158 columns. Data were collected on the LimeSurvey platform, where it was screened for missing values and incomplete responses. After cleaning, data were exported to Excel in tabular format. Questionnaire responses are provided in two files ResultsSurvey_OGDUseBRPubInstitutions_DataSet_PT and ResultsSurvey_OGDUseBRPubInstitutions_DataSet_EN. They contain the same information in Portuguese and English. 2) The second dataset records the code table of the interviews about the benefits, barriers, enablers, and drivers of open government data (OGD) use in Brazilian public institutions. A questionnaire applied to public agents working in Brazilian public institutions was followed up by interviews to broaden an understanding of the use of OGD. Nine interviews were conducted between May 17-31, 2022. This dataset represents the perspective of these public agents. The dataset contains 97 lines and six columns. Each row of the dataset lists the factor code used in the questionnaire, the factor descriptions in Portuguese and English, the interviewee code, the transcription extract of an interviewee narration collected in Portuguese, and the English translation. After collection in Portuguese, interviews were automatically transcribed using the NVivo Transcription software. Then, they were anonymized, and a human reviewed the transcriptions. Interviews were coded using NVivo and used the questionnaire factors to guide coding. Coded extracts were translated to English using Google and Microsoft translators. Then, translated extracts were revised by a human and were used for reporting. The coding table was exported to Excel. Interviews extracts are provided in one file, InterviewsExtracts_OGDUseBR_PublicInstitutions_Dataset. (2021-06-14)