escidoc-based Virtual Research Environments Matthias Razum Frank Schwichtenberg
Agenda The Grand Vision BW-eSci(T) BW-eLabs escidoc s 2
The escidoc Grand Vision Collaboration Idea Exploration Data Acquisition Experiment Aggregation Analysis Publication Archiving escidoc Solutions, services, and existing tools escidoc Infrastructure Continuum of Data 3
Agenda The Grand Vision BW-eSci(T) BW-eLabs escidoc s 4
BW-eSci(T) BW-eSci(T) will address the challenges of rolling-out an e-research environment in the data center of a university, examplified by one discipline (Computer s). In the course of the project, necessary tooling for administrating escidoc will be developed and tested, as well as new linguistic capabilities and tools will be added to the escidoc Infrastructure. Project Partners Tübingen University FIZ Karlsruhe Status Started (10/2009) 5
BW-eSci(T): Distributed s Tübingen University Partner Research Infrastructure PubMan Orchestration Orchestration CLARIN D-SPIN s s escidoc Core s XML s Other repositories 6
BW-eSci(T): Responsibilities Data Publication: Library Tübingen University Partner Research Infrastructure PubMan s s Orchestration Orchestration s/orchestration: Computer s escidoc Core s escidoc Infrastructure: Data Center XML s Other repositories 7
BW-eSci(T): Contributions to the Scholar s Workbench services Not all of them will be freely available Tokenizers, Lemmatizer, Mostly language-dependent (Orchestration ) Still under discussion Technology not yet set 8
Agenda The Grand Vision BW-eSci(T) BW-eLabs escidoc s 9
BW-eLabs BW-eLabs gives access to virtual and remote experiments in the field of nano technology. Key concepts of the project include the reproducability of experiments, discoverability of and access to primary data, and the storage and curation of all artifacts that emerge throughout the research process. Project Partners Stuttgart University HDM Stuttgart Freiburg University FIZ Karlsruhe Status Started (08/2009) 10
BW-eLabs: Experiments Preparation Synthesis and Online Analysis Offline Analysis and Visualization Publication Common Data Infrastructure Experiment Experiment Experiment Experiment Data Objects Data Objects Data Objects 11
BW-eLabs: Data Acquisition in the Lab Laboratory 5 Office 1 9 Data files from online analysis esync Daemon 4 elab Solution Lab equipment (e.g. spectroscope) Monitored folder POSTs new configuration to esync daemon 3 Data Center Metadata Extractor 6 Replicated data files Data file for metadata extraction Deposit 2 Creates new experiment (Container) Infrastructure 7 MD MD Extracted metadata escidoc Items 8 12
BW-eLabs: Overview Local Access Remote Access elabs BW-eLabs Portal Wonder land OPUS Origin Data esync/ Deposit Configuration MD Lab Lab Equipment Lab Equipment Equipment SW SW SW Data Object (Data + MD) Search escidoc Core s Query / Result Set Data MD Data Data MD / Publication MD 13
BW-eLabs: Contributions to the Scholar s Workbench QR Code Reader/Generator Java-based, works only on Windows Available as web service as well esync Daemon Java-based, works on Windows (Linux and MacOS will follow) Metadata Extractor Java-based with plug-in architecture Derived from Harvard s FITS service (Deposit ) Java-based, depends on escidoc as data sink May be adapted to work directly with Fedora 14
Agenda The Grand Vision BW-eSci(T) BW-eLabs escidoc s 15
escidoc s Data Acquisition Control of Named Entities Deposit (SWORD) Citation Style Transformation Validation Search and Indexing Technical Metadata Extraction Duplicate Detection PID Digilib OAI-PMH Admin Tool Policy Enforcement Point Group Handler Role Handler User Account Handler Admin Organizational Unit Context Container Item Content Model Set Scope Statistics Data Aggregation Definition Report Definition Report Statistics Manager Object Manager Security 16
Thank you! matthias.razum@fiz-karlsruhe.de www.escidoc.org