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Metas Nacionais do Poder Judiciário - 2022
Glossário e Esclarecimentos – TST e TRTs
Versão 1 – Abril / 2022
12
Regras de Lançamento no Sistema de Metas
A parametrização de classes e movimentos listados nas variáveis abaixo serão as mesmas
utilizadas no painel de estatísticas do DataJud. O painel e a parametrização mais recente estão
disponíveis neste link. Caso a variável não esteja listada na parametrização do DataJud, utilizar a
parametrização do Justiça em Números neste link.
P2.1- os processos físicos e eletrônicos compreendidos no período de referência da meta para
cada instância e contidos nas seguintes variáveis do Justiça em Números, excluídos os que se
encontravam suspensos, sobrestados ou em arquivamento provisório em 31/12/2021:
1º grau
Os processos das classes da variável CnC1º (Casos Novos de Conhecimento no 1º Grau) que
não receberam movimentos da variável SentC1º (Sentenças de Conhecimento no 1º grau)
2º grau
Os processos das classes da variável CnO2º (Casos Novos Originários de 2º Grau) que não
receberam movimentos da variável Dec2º (Decisões terminativas de processo no 2º grau)
Os processos das classes da variável CnR2º (Casos Novos Recursais de 2º Grau) que não
receberam movimentos da variável Dec2º (Decisões terminativas de processo no 2º grau)
Tribunal Superior do Trabalho
Os processos das classes da variável CnO (Casos Novos Originários) que não receberam
movimentos da variável Dec (Decisões terminativas de processo)
Os processos das classes da variável CnR (Casos Novos Recursais) que não receberam
movimentos da variável Dec (Decisões terminativas de processo)
P2.4 – Em todas as instâncias, os processos informados em P2.7 e os não informados em P2.1
(que se encontravam suspensos, sobrestados ou em arquivamento provisório em 31/12/2021) que
receberam as movimentações 11002 (Revogação da Suspensão do Processo), 12066
(Cumprimento de Levantamento da Suspensão ou Dessobrestamento), 893 (Desarquivamento),
14974 (Levantamento da Causa Suspensiva ou de Sobrestamento - se houver mais de uma causa
suspensiva dentro do processo, todos os levantamentos de suspensão/sobrestamento dessas
causas devem ocorrer no processo para que volte a tramitar na Meta), 11373 (anulação de
sentença/acordão) ou a ocorrência das movimentações 14738 – Retificação de classe processual
e 14739 – Evolução da classe processual para alguma das classes abarcadas na meta.