mailto:sysadmin.certic@unicaen.fr https://federation.renater.fr/category/collaboratif https://federation.renater.fr/scope/national http://www.geant.net/uri/dataprotection-code-of-conduct/v1 http://refeds.org/category/research-and-scholarship https://federation.renater.fr/edugain/ none https://services.renater.fr/federation/en/documentation/engagement-conformite/metadata_registration_practice_statement Université de Caen Normandie Université de Caen Normandie https://www.unicaen.fr/ Thecaelab est une plateforme d'expérimentation pour l'édition scientifique d'inventaires anciens. Véritable laboratoire de textes, il permet à la communauté scientifique de tester des solutions d'annotation XML TEI, d'exploitation (recherche, extraction d'information) ou de visualisation des données ajoutées. Thecaelab is a experimentation platform dedicated to scholarly edition of ancient inventories. Designed as a texts laboratory it provides to the scientific community testing solutions for XML TEI annotation, search and extraction of information or visualisation of data sets added to the platform. Université de Caen Normandie - thecaelab Université of Caen Normandie - thecaelab Thecaelab est une plateforme d'expérimentation pour l'édition scientifique d'inventaires anciens. Véritable laboratoire de textes, il permet à la communauté scientifique de tester des solutions d'annotation XML TEI, d'exploitation (recherche, extraction d'information) ou de visualisation des données ajoutées. Thecaelab is a experimentation platform dedicated to scholarly edition of ancient inventories. Designed as a texts laboratory it provides to the scientific community testing solutions for XML TEI annotation, search and extraction of information or visualisation of data sets added to the platform. Université de Caen Normandie - thecaelab Université of Caen Normandie - thecaelab https://thecaelab.unicaen.fr https://www.certic.unicaen.fr/CodeOfConduct/COC_ThecaeLab.pdf MIID4jCCAkqgAwIBAgIJAOL4KJBZoN9KMA0GCSqGSIb3DQEBCwUAMBQxEjAQBgNV BAMTCWxvY2FsaG9zdDAeFw0xODAyMjYxMTI2MDdaFw0yODAyMjQxMTI2MDdaMBQx EjAQBgNVBAMTCWxvY2FsaG9zdDCCAaIwDQYJKoZIhvcNAQEBBQADggGPADCCAYoC ggGBAMa7wtHpbTjHWIzBWLVD/0mQJs/OwuMjck/WjsFVvmHO6bzYMxL17KKIOE0v afpZC4+5Q64Ijlj77lyy8LD11tW5RtMIv+vgehpH3Wesxq8ytQuvBKHBToJDBk2n xicSMeL5Vdr+/pNnmxUz6culY9qxkSYAZCHcIZsT0qFHtDldJW0pRurJOTLVC2IC 7aC/iIvp9Q+XVUkYWfLQI+tavLKO5u1GEt2XKWRvZZosIxc7bvI01ch2S3huY6/L j+g1++yNTgx+fY6JPsiiWDiYswA8l8Pe2Rb9QB6UiJZ11eUhIhYHIxhojycQUw+t +rk/KoVrUlpkkSwoH5KyIWLH0GIEDyroOeHSdZBjJPHSjoIKYJdyvLKQIXoAP/5L qSrVJDP6wZtVuW7Ss4ZkyoRBpSEmuJDKk3CBlaHCZjgG03gDdjSH0hBe5WvEK5Sg PesM2bsrU4y1u+eOLVluWWLmwqwQYv0i1EuVNi5oXgnpH7ts8YWtVCaXKYrxILGG hVbWGQIDAQABozcwNTAUBgNVHREEDTALgglsb2NhbGhvc3QwHQYDVR0OBBYEFCdX peN3LYRT5gisYXnwxwth8yR8MA0GCSqGSIb3DQEBCwUAA4IBgQCNak41saySrM9V SVRdfvopGKMezwXC+y+Nl1RqDsm37kqHPZgv5lF+Ik3oy/eC2agctIzG3JrUAx5M S+GMXf9CKRTf7+PXSOrvOpccDHlRFUYkKmWVrQTS3a4rWDkSjHS211gTnR4ilUdR jmrEuExgG+pA9at176n+fTcF5aMjcSyMEggtmkPCyUKFAoEL/o/5mcXW4RdWzekI U2H7HEvVKX5nLaSrSOXC5bTlz3Q2glESMVTS/+2Z0NZfg/yBGr2P3vYSWYQxtPiS qcsFoBj5G/wrA2uZQeI+EH37m56wNO4I1uY+1ZOSNPpbNxsq0KFwUWWM0CtlDR1S /E0QpOTw0DjCp7UlsUKmcWZ2oz3BnSgwvFQNIc7DK9IOMo108Bz+YZ7ZDXWFEU9i p8bOKR/JMeeRiKuHNfpJ+kQx9hord9fo2wkUh20P1zJ8AGvruopKE7Cjilp0UwOr O4SOHWWfoKJp5QOVOUsTuNc5R3wbnmzoHo6ieSvCyU0XlBceLYo= MIID4jCCAkqgAwIBAgIJAOL4KJBZoN9KMA0GCSqGSIb3DQEBCwUAMBQxEjAQBgNV BAMTCWxvY2FsaG9zdDAeFw0xODAyMjYxMTI2MDdaFw0yODAyMjQxMTI2MDdaMBQx EjAQBgNVBAMTCWxvY2FsaG9zdDCCAaIwDQYJKoZIhvcNAQEBBQADggGPADCCAYoC ggGBAMa7wtHpbTjHWIzBWLVD/0mQJs/OwuMjck/WjsFVvmHO6bzYMxL17KKIOE0v afpZC4+5Q64Ijlj77lyy8LD11tW5RtMIv+vgehpH3Wesxq8ytQuvBKHBToJDBk2n xicSMeL5Vdr+/pNnmxUz6culY9qxkSYAZCHcIZsT0qFHtDldJW0pRurJOTLVC2IC 7aC/iIvp9Q+XVUkYWfLQI+tavLKO5u1GEt2XKWRvZZosIxc7bvI01ch2S3huY6/L j+g1++yNTgx+fY6JPsiiWDiYswA8l8Pe2Rb9QB6UiJZ11eUhIhYHIxhojycQUw+t +rk/KoVrUlpkkSwoH5KyIWLH0GIEDyroOeHSdZBjJPHSjoIKYJdyvLKQIXoAP/5L qSrVJDP6wZtVuW7Ss4ZkyoRBpSEmuJDKk3CBlaHCZjgG03gDdjSH0hBe5WvEK5Sg PesM2bsrU4y1u+eOLVluWWLmwqwQYv0i1EuVNi5oXgnpH7ts8YWtVCaXKYrxILGG hVbWGQIDAQABozcwNTAUBgNVHREEDTALgglsb2NhbGhvc3QwHQYDVR0OBBYEFCdX peN3LYRT5gisYXnwxwth8yR8MA0GCSqGSIb3DQEBCwUAA4IBgQCNak41saySrM9V SVRdfvopGKMezwXC+y+Nl1RqDsm37kqHPZgv5lF+Ik3oy/eC2agctIzG3JrUAx5M S+GMXf9CKRTf7+PXSOrvOpccDHlRFUYkKmWVrQTS3a4rWDkSjHS211gTnR4ilUdR jmrEuExgG+pA9at176n+fTcF5aMjcSyMEggtmkPCyUKFAoEL/o/5mcXW4RdWzekI U2H7HEvVKX5nLaSrSOXC5bTlz3Q2glESMVTS/+2Z0NZfg/yBGr2P3vYSWYQxtPiS qcsFoBj5G/wrA2uZQeI+EH37m56wNO4I1uY+1ZOSNPpbNxsq0KFwUWWM0CtlDR1S /E0QpOTw0DjCp7UlsUKmcWZ2oz3BnSgwvFQNIc7DK9IOMo108Bz+YZ7ZDXWFEU9i p8bOKR/JMeeRiKuHNfpJ+kQx9hord9fo2wkUh20P1zJ8AGvruopKE7Cjilp0UwOr O4SOHWWfoKJp5QOVOUsTuNc5R3wbnmzoHo6ieSvCyU0XlBceLYo=