Data Report: Educational Pathway on Food and Nutrition in Amyotrophic Lateral Sclerosis on the AVASUS platform

Dataset name: nutri_als_dataset.csv Version: 1.0 Dataset period: 06/01/2021 - 06/05/2024 Dataset Characteristics: Multivalued Number of Instances: 20967 Number of Attributes: 9 Missing Values: Yes Area(s): Health and education Sources: Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2024a); Brazilian Occupational Classification (CBO) (Brasil, 2024b); National Registry of Health Establishments (CNES) (Brasil, 2024c); Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2024d). Description: The “nutri_als_dataset.csv” dataset (see Table 1) originates from participants of the educational pathway on Food and Nutrition in Amyotrophic Lateral Sclerosis. The educational pathway is available on the AVASUS (Brasil, 2024a). This dataset provides elementary data to analyze the scope of the educational pathway courses and the profile of their participants. Note: The content of the dataset is provided in Brazilian Portuguese (pt-br), as it originates from native speakers. Table 1: Description of AVASUS dataset features. Attributes Description Datatype Value user_id Unique identifier for a person (anonymous). Categorical Person unique identifier. course_enrollment Course enrollment period. Datetime year-month-day. course_name Name in Portuguese referring to the course. Categorical Alimentação por sonda na ELA; Alimentação e Nutrição na ELA; Orientações nutricionais específicas na ELA; or Modificações Dietéticas na ELA. certificate The period in which the course participant obtained the right to a certificate. Datetime year-month-day hours, minutes, and seconds. gender Gender of the course participant. Categorical Female; Male; or Not informed. region Brazilian region in which the participant resides. Categorical North; Northeast; Central-West; Southeast; South; Abroad; or Not reported. course_evaluation A score given to the course by the participant. Numerical 0, 1, 2, 3, 4, 5, or NaN. evaluation_commentary Comment made by the participant about the course. Categorical Free text or NaN. CBO Participant occupation. Categorical Text coded according to the Brazilian Classification of Occupations or “Indivíduo sem filiação formal.” (In English, “Individual without formal affiliation.”) REFERENCES Brasil (2024a). AVASUS - Virtual Learning Environment of the Brazilian Health System. Available from: https://avasus.ufrn.br/local/avasplugin/dashboard/transparencia.php. Accessed Jul 21, 2024. Brasil (2024b). CBO - classificação brasileira de ocupações. Available from: https://cbo.mte.gov.br/cbosite/pages/home.jsf. Accessed Jul 21, 2024. Brasil (2024c). CNES - cadastro nacional de estabelecimentos de saúde. Available from: https://cnes.datasus.gov.br/. Accessed Jul 21, 2024. Brasil (2024d). IBGE - Instituto Brasileiro de Geografia e Estatística. Estimativas da População. Available from: https://agenciadenoticias.ibge.gov.br/agencia-noticias/2012-agencia-de-noticias/noticias/39525-censo-2022-informacoes-de-populacao-e-domicilios-por-setores-censitarios-auxiliam-gestao-publica. Accessed Jul 21, 2024. ARTICLE: Data Report: Educational Pathway on Food and Nutrition in Amyotrophic Lateral Sclerosis on the AVASUS platform AUTHORS: Karla M. D. Coutinho1,2, Felipe Fernandes2, Kelson C. Medeiros2,6, Karilany D. Coutinho2,4,5, Aline de Pinho Dias2,4, Ricardo A. M. Valentim2,4,5, Lúcia Leite-Lais3, Kenio Costa Lima1 1Postgraduate Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, Brazil 2Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, Rio Grande do Norte, Brazil 3Department of Nutrition, Federal University of Rio Grande do Norte, Natal, Brazil 4Postgraduate Program in Management and Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil 5Department of Biomedical Engineering, Federal University of Rio Grande do Norte, Natal, Brazil 6Federal Institute of Education, Science and Technology of Rio Grande do Norte, Natal, Brazil