POSTDATA (Poetry Standardization and Linked Open Data) aims at bridging the digital gap among traditional cultural assets and the growing world of data. It is focused on poetry analysis, classification and publication, applying Digital Humanities methods of academic analysis-such as XML-TEI encoding-(Dombrowski & Denbo, 2013), (Flanders &Hmali, 2013) in order to look for standardization, as well as innovation by using semantic web technologies (Cigarrán-Recuero et al 2014) to link and publish literary datasets in a structured way in the linked data cloud. The advantages of making poetry available online as machine-readable linked data are threefold: first, the academic community will have an accessible digital platform to work with poetic corpora and to contribute to its enrichment with their own texts; second, this way of encoding and standardizing poetic information will be a guarantee of preservation for poems published only in old books or even transmitted orally, as texts will be digitized and stored; third: datasets and corpora will be available and open access to be used by the community for other purposes, such as education, cultural diffusion or entertainment. POSTDATA will be materialized in the creation of a digital semantic web-based platform for poetry analysis and edition, to study, publish and share digital collections in a virtual research environment using digital humanities open standards combined with traditional philological academic analysis. The environment will be open to any language and type of poetry and accessible for multiple users with different profiles, and it will provide access to digital resources on poetry linked together through data repositories. These data will be subsequently indexed by a search engine and finally provided simultaneously on a Website interface, an API and a single point of access to enriched and open information in accordance with RDF formalism. The proposal is based in three pillars: Semantic modeling, poetry lab and infrastructure deployment.