Dataverse:DDI
Índice
DDI
No tratamento de dados tabulares, o Dataverse gerar as descrições dos campos (Field) do arquivo.
Também é possível customizar o nome dos campos, porém só funciona em dados .SDATA ou .RData
Dados com categorias restritas
https://demodv.scholarsportal.info/file.xhtml?fileId=12488&datasetVersionId=1450
<location fileid="f12488"/> <labl level="variable">Gender</labl> <sumStat type="vald">202.0</sumStat> <sumStat type="invd">2.0</sumStat> <sumStat type="mean">0.2772277227722772</sumStat> <sumStat type="min">0.0</sumStat> <sumStat type="max">1.0</sumStat> <sumStat type="stdev">0.4487420090323728</sumStat> <sumStat type="mode">.</sumStat> <sumStat type="medn">0.0</sumStat> <catgry> <catValu>1</catValu> <labl level="category">Male</labl> <catStat type="freq">56</catStat> </catgry> <catgry> <catValu>0</catValu> <labl level="category">Female</labl> <catStat type="freq">146</catStat> </catgry> <varFormat type="numeric"/> <notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yzhZC32ol+0yOdfw6GypLA==</notes>
Editando metadados
É possível subir dados categoricos no dataverse por meio de arquivos DCT.XML (Data Curation Tool)
- DCT tools [[3]]
[[4]]
Melhor teste
export API_TOKEN=634bcef5-0d4c-4685-be6c-40299be55db4 export SERVER_URL=http://localhost:8080 export ID=8 export FILE=dct5.xml curl -H "X-Dataverse-key:$API_TOKEN" -X PUT $SERVER_URL/api/edit/$ID --upload-file $FILE
Arquivo dct5.xml
<dataDscr>
<varGrp var=" v507 v504 v505 v506" ID="VG1">
<labl>Dados do Grupo 4A</labl>
</varGrp>
<varGrp var=" v410" ID="VG2">
<labl>Dados do Grupo 4B</labl>
</varGrp>
<location fileid="f8"/>
<labl leval="variable">1. Pergunta Sobre o Genero</labl>
<catgry>
<catValu>1</catValu>
<labl level="category">Male</labl>
<catStat type="freq">1537</catStat>
</catgry>
<varFormat type="numeric"/>
<qstn>
<ivuInstr>INTERVIEW</ivuInstr>
<postQTxt>POSTQUESTION</postQTxt>
</qstn>
<universe>Universe</universe>
</dataDscr>
Informações
Note: When the ingest recognizes a CSV or TSV column as a numeric vector, or as a date/time value, this information is reflected and saved in the database as the data variable metadata. To inspect that metadata, select Variable Metadata listed as a download option for the tabular file. This will export the variable records in the DDI XML format. (Alternatively, this metadata fragment can be downloaded via the Data Access API; for example: http://localhost:8080/api/access/datafile/<FILEID>/metadata/ddi).
Boas Práticas
* Boas Práticas (Guia)
Nesstar
https://github.com/IQSS/dataverse/issues/4593