• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
DataFinder concepts and example: General (20100503)
 

DataFinder concepts and example: General (20100503)

on

  • 1,148 views

 

Statistics

Views

Total Views
1,148
Views on SlideShare
1,145
Embed Views
3

Actions

Likes
2
Downloads
9
Comments
0

1 Embed 3

http://www.slideshare.net 3

Accessibility

Categories

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment
  • Skip

DataFinder concepts and example: General (20100503) DataFinder concepts and example: General (20100503) Presentation Transcript

  • DataFinder: Concepts and Usage German Aerospace Center (DLR), Cologne/Berlin/Braunschweig http://www.dlr.de/sc
  • Outline
    • Introduction
    • Configuration and customization
      • Requirements Analysis
      • Installation
      • Configuration
      • Customization
      • Data Migration
  • DataFinder Introduction Background: Data Management Problem
    • Absent organizational structures
    • No central data management policy
    • Every employee organizes his/her data individually
    •  Researchers spend about 30% of their time searching for data
    •  Problem with data left behind by temporary staff
    • Increase of data because of growing size and regulations
    • Rapidly growing volume of simulation and experimental data
    • Legal requirements for long-term availability of data (up to 50 years!)
    • Situation is similar for every DLR institute, many research labs and agencies and even for the industry
  • DataFinder Introduction Basic Concept
    • Lightweight Client-Server solution
    • Based on open and stable standards , such as XML and WebDAV
    • Extensible through Python scripts to fit multiple scenarios
  • DataFinder Introduction Graphical User Interfaces of DataFinder 1.x User Client Administrator Client Implementation in Python with Qt/PyQt Current Version differs Current Version differs
  • DataFinder Introduction Data Store Concept Logical View User Client Storage Locations
  • DataFinder Configuration and Customization
  • DataFinder Configuration and Customization Preparing DataFinder for certain “use cases”
    • Requirements Analysis
    • Analyze data, working environment and user workflows
    • Configuration
    • Server and Client setup
    • Define and configure data model
    • Configure distributed storage resources (Data Stores)
    • Customization
    • Write functional extensions with Python scripts (GUI)
    • Tool integration
    • Data Migration
    • Analyzing current data
    • Migration of the data into new system
    • Meta data server
      • Apache and Catacomb (based on the WebDAV Protocol)
      • Apache and mod_dav (xampp)
    • Data server
      • Apache and Catacomb (based on the WebDAV Protocol)
      • Apache and mod_dav (xampp)
    • Administrator and user client
      • Source and precompiled Versions (for WinXP and SUSE64) available
    DataFinder Configuration and Customization Installation
  • DataFinder Configuration and Customization Data Model: Mapping of Organizational Data Structures User Object (directory) Object (file) Relation Project A Project B Project C File 1 File 2 Simulation I Experiment Simulation II
  • DataFinder Configuration and Customization Exkurs: Meta Data
    • Describe and annotate data (“files”) and collections (“directories”)
    • Different levels of meta data
      • Required meta data defined by administrator
      • User is free to choose additional ones
    • Different types of meta data
      • String
      • Numbers (float, double, …)
      • Lists
      • Dates
    • User can search in meta data
  • DataFinder Configuration and Customization Exkurs: Meta Data and the User Impact
    • DataFinder restricts the rights of users!
    • Enforcement of “good behavior”
    • User must comply to organizational standards
    • Data is stored in defined (directory) hierarchy on data server
    • Required meta data must be set prior upload
    • User have certain access rights within hierarchy
    “ Damn! I’m a great scientist! I want freedom to have my own directory layout…”
  • DataFinder Configuration and Customization Customization: Python-Scripting for Extension and Automation
    • Integration of DataFinder with environment
    • User, infrastructure, software, …
    • Extension of DataFinder by Python scripts
    • Actions for resources (i.e., files, directories)
    • User interface extensions
    • Typical automations and customizations
    • Data migration and data import
    • Start of external application (with downloaded data files)
    • Extraction of meta data from result files
    • Automation of recurring tasks (“workflows”)
  • DataFinder Configuration and Customization Example: Downloading File and Starting Application # Creating a file “/text.txt” using data store “Data Store”. from datafinder.gui.user import script_api as gui_api from datafinder.script_api.repository import setWorkingRepository from datafinder.script_api.item.item_support import createLeaf # Get representation of the current managed repository mr = gui_api.managedRepositoryDescription() # Get currently selected collection in DataFinder Server-View if not mr is None : setWorkingRepository(mr) def _createLeaf(): properties = dict() properties["____dataformat____"] = "TEXT" properties["____datastorename____"] = "Data Store" … createLeaf("/test.txt", properties) script_api.performWithProgressDialog(_createLeaf)
  • DataFinder Demo Example
    • Live Demo DataFinder
    • Server structure
    • Admin client: showing XML file of meta model and in client
    • Admin client: setting up a DataStore for development files
    • Admin client: loading a script extension
    • User client: loading a script extension
    • User client: making a structure
    • User client: upload of a Experimental file into the store
    • User client: double-click on the file opening it
    • User client: script extension: creating a file
  • Availability
    • DataFinder core available as Open Source
      • Current stable release: DataFinder 2.0
      • Simplified BSD License
      • Open Source platforms
        • Launchpad
        • Sourceforge
        • Freshmeat
      • Windows XP and SLED64 bit precompiled
    • Become a DataFinder fan on Facebook!
  • Links
    • DataFinder Web site
    • http://www.dlr.de/datafinder
    • DataFinder Open Source
    • http://sourceforge.net/projects/datafinder
    • http://launchpad.net/datafinder
    • DataFinder Wiki
    • http://wiki.sistec.dlr.de/DataFinderOpenSource
    • Catacomb – recommended Server
    • http://catacomb.tigris.org