BExIS++ Forschungsdatenmanagement

Transcription

1 BExIS++ Forschungsdatenmanagement Roman Gerlach, Birgitta König-Ries, David Blaa, Javad Chamanara, Sven Thiel Friedrich-Schiller-Universität Jena funded by:

2 Roman Gerlach 2

3 BExIS++ Sub-Projects Technical Sub-Project Modularization of existing BExIS by developing a generic software Curricular Sub-Project Teach students how to collect & publish primary field data by using existing ITinfrastructure Organizational Sub-Project Development of a operational concept for system-access, scientific data publication and establish a community of contributers & participants Roman Gerlach 3

4 Curricular Goals hypotheses Ecology Students (B.Sc./M.Sc.) : introducing research data management & Data Life Cycle concepts training in digital field data collection & on existing IS (EOL, GBIF, BExIS, ) analyse integrate publish article discover visualize preserve collect data QA / QC deposit publish data Computer Science Students (B.Sc./M.Sc.) : software development projects (e.g. mobile application) Raising awareness for Biodiversity/ Ecology data handling needs FSU Graduate Academy (PhD) Course: Research Data Management Make Your Data Count! Roman Gerlach 4

5 Organizational Goals Promoting data management and publishing: Establish a DOI centre at FSU Supporting scientists at FSU User Support for BEXIS 2 (Help Desk, Tutorials, Best Practices) TDWG 204 Workshop Proposals: Software solutions for data management in biodiversity research projects (FSU, DWB) How to Teach Data Management in Biodiversity Effectively? (FSU, U. Kansas) Roman Gerlach 5

6 Data Life Cycle research question analyse data collect publish paper access assure quality discover describe publish data store Roman Gerlach 6

7 class Overall Conceptual model Processing Function Usage Context TermRelationship 0.. Methodology * * * Ontology Role {Must be a Relation} Globalization Info +subject +Sub Ontologies 0..* +object +predicate +Unit Domain Value Ontology +Root * Term 0.. {Must be a Unit} +Entity 0.. {Must be an Entity} +Chracteristic Semantic Description Constraint Default Value 0.. {Must be a Characteristic} «enumeration» Term Type Value Type Container 0.. «enumeration» Measurement Scale Validator Data Container Data Type Reference Type Container {No Duplicate} +Applies To Unit +From Conversion Method Classifier 0.. +To 0.. Extended Property Variable Usage Generic..* Variable Parameter {No Extended Property} Sampling +Indexer 0.. {Always with Variable, Parameter Type} Cov erage Structured Data Unstructured Data Parameter Usage Metadata Element Time Series «powertype,en... Variable ValueType Workflow Hierarchy Mapping Info Metadata Attribute Metadata Class Metadata Package MetadataStructure Suggested Data Structure Variable Value Parameter Value Extended Property Value 0..*..* 0..*..* * Criteria +Content Selection Criteria 0.. +Variable Selection Criteria View «Invariant» {XOR} 0.. {Only Structured Data} Resource Responsibility 0.. Primary Data Tuple Amendment «Invariant» 0.. Javad Chamanara und Birgitta König-Ries, 203, A conceptual model for data {At least one item must be available} Metadata Attribute Metadata Value {ordered} Dataset Suggested Execution Unit management in the field of ecology. Ecological Informatics. +Execution Contexts {At least one Unstructured} +Sub Units 0..* 0..* Dataset Version Accessibility Policy Content Descriptor +Parent 0.. {Type Match} «trace» Security Role Party «trace» 0.. Observation Unit Work Package Administration Unit +Current Stage Geographic Security User Description..*..* Dataset Stage Publication Access Policy Publishing Policy Ownership Policy «powertype,en... «powertype,en... «powertype,en... OU Type WP Type AU Type Roman Gerlach 7

8 Dataset Concept Extended Properties Interval Sec. Rounded Yes Error ±0.0% Observation (Tuple) Globalization Info English German Persian Soil Moisture Bodenfeuchte رطوبت خاک Variable Variable 2 Amendments S.N. Tmp Time S.M. Depth Pos. Hu A Green B C A D 25 Yes 00 EP Data Structure Tmp Time Hu S.N. S.M. Depth Views Roman Gerlach 8

9 Application Architecture UI Search Publishing Analytics QA/ QC Extensibility UI Framework Core Services Integration External Tools Web Services Archiving Auto. Harvesting User Defined Import/ Export Security Data Access < 30% implemented 30-60% implemented DB2 Pg.... > 60% implemented Roman Gerlach 9

10 Technology Microsoft technology environment:.net 4.0, C#, MVC 3.0, Lucene.NET, NHibernate, telerik, IIS DBMS: IBM DB2 + XML, PostgreSQL &, Oracle Free and Open Source Software (GNU GPL 3.0 licence) Roman Gerlach 0

11 st Release of BEXIS March 203 Core Module Data Discovery (faceted search in metadata based on Lucene) Roman Gerlach

12 BEXIS Sept. 203 Security (User, Role) Research Planning (CRUD data structure, units, attributes, data type) Data Collection (upload Excel, CSV) Dataset versioning Unicode support Data Discovery Administration Roman Gerlach 2

13 BEXIS Dec. 203 Security (Feature) Data Access (download Excel/template) Stabilization Roman Gerlach 3

14 What s next? - Release Plan > Research Planning > Research Planning \ metadata creation \ metadata schema import > System > Data Collection \ PostgreSQL support \ geospatial data support > Security \ datasets 2.5 > System \ update routine > QA/QC \ consistency, conformance April 204 Juli 204 September Roman Gerlach 4

15 Outlook 2nd Phase ( ) Usability Plug'n'Play module integration Single sign-on support Semantic-based and personalized data discovery Visualizations tools for data discovery and exploration Features Support sensor/lab/geo data types Ressource management module interlink with international data archives Data integration, manipulation and analysis/mining Quality control framework Community building (user/developer) Roman Gerlach 5

16 research question analyse data collect publish paper access assure quality discover describe publish data store Roman Gerlach 6

17 Demo Contact: Roman Gerlach 7

18 Vielen Dank! Contact: Roman Gerlach 8