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About FACES Collection of images of adult emotional facial stimuli (171 women and men) 6 emotions: neutrality, sadness, disgust, fear, anger and happiness.

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Presentation on theme: "About FACES Collection of images of adult emotional facial stimuli (171 women and men) 6 emotions: neutrality, sadness, disgust, fear, anger and happiness."— Presentation transcript:

1 About FACES Collection of images of adult emotional facial stimuli (171 women and men) 6 emotions: neutrality, sadness, disgust, fear, anger and happiness (each person in two views) Attribution to an age group: Of special research interest is the provision of three age groups (young, middle-aged, older) In sum, 2052 pictures tagged with attributes Other Solutions Solution Virtueller Raum Reichsrecht (ViRR) About ViRR Research environment for various legal artifacts of the period of the Holy Roman Empire Basis: collection of 15 digitized works (more than 16 000 pictures) Persistent storage of the digitized works and its corresponding transcriptions Structural and logical indexing of the content Successive enhancement of the collection eSciDoc - A flexible Infrastructure for Management and Storage of Cultural Heritage Data Natasa Bulatovic, Ulla Tschida Natasa Bulatovic, bulatovic@mpdl.mpg.de, Ulla Tschida tschida@mpdl.mpg.de, Max Planck Digital Library (MPDL), Amalienstrasse 33, 80799 Muenchen (DE) November 2008 eSciDoc Infrastructure Services Manage diverse content via generalized resources (Items, Contexts, Containers) Enable versioning, persistent identification, searching, statistics, authorization Easy-to-use by developers, end users and non-human service requestors Solutions Visualize and reuse services and add value (e.g. data mash-ups, specific views) Enable different workflows Work with specialized resources, such as scanned books, language resources, transcriptions, translations, publication items, images and image albums Key features eSciDoc Persistent identification Users may decide what to identify (resource or resource version) and when to assign the persistent identifier (during creation, updates, or publishing). Data storage Content resources are internally stored as Fedora FOXML documents. Thus the structure and description of each resource is readable by any human or machine user. Contextual information Content resources are related with a content model description, which defines what the data actually represents, e.g. a publication, a transcription of a scanned book page, a language resource or a face expression description. Versioning and Provenance Any changes in the content produces a new version of the resource. Each resource is associated with PREMIS metadata, that hold richer information on the version history and events, in addition to the natively provided Fedora audit trail. Compound resources are versioned whenever one of their components is changed. Each content resource can be released (i.e. published) several times. Metadata For each model of a content resource, a Metadata schema can be chosen in accordance with discipline-specific needs. As a minimum, resources have a DC metadata record associated. Metadata validation can be enforced to comply to different levels of quality and different schemata, by use of the validation service and rules based on Schematron. Technical metadata extraction based on JHove/JStore framework is applied for selected sets of binary content. Revisions Intellectually changed resources, e.g. book editions, result in a new revision of the resource. Each revision is further treated as a content resource on its own and is related to the original resource. Authentication and Authorization Distributed authentication is enabled via Shibboleth. An identity provider such as LDAP can be used to manage users. Each service request is authenticated and authorized for (a set of) resources, in accordance with the privileges of the service requestor. In addition to open access, fine granular access rights to content resources and their components can be defined. About PubMan Solution for publication data management („traditional“ publications, grey literature, suppl. material) Facilitates Open Access to publication data Persistent identification of metadata records and fulltexts Re-use of data (e.g. webpages, annual reports, yearbook of the MPS) Long-term archiving of publication data Flexible Data and Content Models eSciDoc Project eSciDoc is a joint project between the Max Planck Society (MPS) and Fachinformationszentrum (FIZ) Karlsruhe, funded by the Bundesministerium für Bildung und Forschung (BMBF). The aim of the project is the development of a re-usable service infrastructure and various discipline-specific end-user solutions for the scientific communication and publication in research organizations. This includes the guarantee of long-term open access to multiple scholarly materials (research data and publications) and the support of innovative ways of scientific and interdisciplinary collaboration. All versions of the infrastructure services and solutions are documented and available as open source under CDDL. For more information, visit http://www.escidoc-project.de/JSPWiki/en/Support eSciDoc Data ModelContent Model for digitised books


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