Research Environment for

friendshomeopathInternet και Εφαρμογές Web

4 Δεκ 2013 (πριν από 3 χρόνια και 9 μήνες)

72 εμφανίσεις

1

Free and Open Source

Research Environment for
Recultivation of a Waste Deposit

Dept. of Ecosystems and
Environmental Informatics

Mirko Filetti, Ronald Obst, Albrecht Gnauck

Landkreis Dahme
-
Spreewald

Umweltamt

2

CONTENT

CONTENTS

Dept. of Ecosystems and Environmental Informatics

1.
Introduction

2.
Free and Open Source Software (FOSS)

3.
Recultivation of the Waste Deposit „Großziethen“

4.
Conclusions


3

01

INTRODUCTION

4

01 ∙ INTRODUCTION


ICT WORKING STEPS

1.
Within environmental research projects a general database has to be set up
to store the data of sub
-
projects and to record them with metadata. The
interoperability is warranted for all external and internal data repositories.


2.
The following data processing features have to be implemented to:

-

maintain and validate the research data,

-

include network repositories with different data structures,

-

distribute information with harvesting mechanism.


3.
The information retrieval system has to be designed. This will

be happen by a user orientated implementation of

interoperability and communication tools.


4.
Secure long term storage of data and archiving tools have

to be set up inside and outside the project for a further

use and reuse of data over a long time horizon.


Dept. of Ecosystems and Environmental Informatics

5

02

Free and Open Source Software
(FOSS)

6

02 ∙ FREE AND OPEN SOURCE SOFTWARE (FOSS)

FREE AND OPEN SOURCE SOFTWARE (FOSS)



The use of free and open source software (FOSS) is an attractive
alternative to high cost commercial and often proprietary software
solutions because of:



low cost,


short cycles of software development,


big user and programmer community


independency from enterprise,


according to international standards,


security.


But
-

no

single

FOSS
or

enterprise

software

can

be

the

best

in all
fields
!

Dept. of Ecosystems and Environmental Informatics

7

FOSS for Research Activities

Dept. of Ecosystems and Environmental Informatics

A virtual research environment (VRE) can be defined as:

“a platform for internet
-
based collaborative working that enables new
ways of collaboration and a new way of dealing with research data
and information.”

(DFG 2007)



The key issue of a VRE is the development and implementation of

an
information and data sharing concept

where data sharing can

be done by different media.



But, the most important point is that VREs need to be more consi
-

dered as
community building

projects than as technology projects.



VRE’s gives benefits to scientific disciplines at all levels of research.

There is neither an ‘out of the box
-
solution’ nor a ‘one size fits

all realizations’ approach that will meet the demands of all

research activities.


02 ∙ FREE AND OPEN SOURCE SOFTWARE (FOSS)

8

VRE SERVICES AND FOSS APPLICATIONS

VRE service

FOSS application

relations

Project website, community

CMS: Joomla+RDF
, Typo3, Drupal+RDF

LDAP, Shibboleth

Access management (SSO)

LDAP, Shibboleth

other

Project collaboration,
communication and workflows

BSCW
, Joomla components

LDAP, Shibboleth

Repository search with meta data

GNOS
, (BExIS, Pangea, InGrid)

LDAP, Shibboleth

Documentation and best practice

Mediawiki

Bridge for Joomla

Monitoring

Joomla component „Art Data“

LDAP, Shibboleth

Data analysis/Data warehousing

Infobright.org, noSQL, Joomla component
„Art Data“

Stand alone on local PC,
data Bridge for Joomla

Decision support

Infobright.org, Joomla components,

other

E
-
Learning

Moodle

Bridge for Joomla

Webserver
-
software

Linux, Apache, MySQL, Tomcat (JAVA), PHP,
XML/XSLT

other

Social web

Joomla
-
Facebook/Twitter integration

Bridge for Joomla

Mobile access:

Optimized Homepage, APPs, RSS,
Augmented Reality (AR)

Joomla Components, MacOS
-
API,
ANDROID
-
API, JUNAIO…


Joomla, Drupal

SEO

Joomla

component,

FOSS

integrated

Joomla, Drupal

Dept. of Ecosystems and Environmental Informatics

02 ∙ FREE AND OPEN SOURCE SOFTWARE (FOSS)

9

GEONETWORK OPENSOURCE (GNOS)


GNOS is a web 2.0 spatial Information
-
Management
-
System (IMS) based on international
standards with network interoperability, metadata
management, web map server and optional
INSPIRE functionality.



GNOS was developed since 2001 by the UN and
is continuous enhanced by many 3rd party
organizations.



User management guarantees the admin and
editing management, and gives users restricted
front end access to each dataset.



Today, a worldwide user community including
several research organizations are successfully
using GNOS within large networks.



Dept. of Ecosystems and Environmental Informatics

There is an out of the box
installation for GNOS under
www.geonetwork
-
opensource.org

including DB and WMS for
Windows and Linux.


02 ∙ FREE AND OPEN SOURCE SOFTWARE (FOSS)

10

NETWORK STRUCTURES

(ACCESS / HARVESTING)



stand allone server with all data
sources



closed intranet with hierarchical
structures and distributed datasets



www with external nodes and different
data sources

A

Intranet

www

A

B

C

A

B

C

D

Dept. of Ecosystems and Environmental Informatics

02 ∙ FREE AND OPEN SOURCE SOFTWARE (FOSS)

11

RELEVANT STANDARDS

Dept. of Ecosystems and Environmental Informatics

Standard

Description

Dublin Core (DC)

Metadata

(International Organization for Standardization,
ISO)

Basic standard for a (minimal) metadata description

(not special for spatial data).

Content Standard for Digital Geospatial

Metadata (CSDGM)

(Federal Geographic Data Committee FGDC;
ESRI FGDC);

Standard for digital geospatial metadata from the leading

GIS manufacturer ESRI and the Federal Geographic Data

Committee

ISO 19115

Geographic Information Metadata, common base with

FGGC, but more detailed

ISO19139

ISO

19139

provides

the

XML

implementation

schema

for

ISO

19115

INSPIRE

(Infrastructure for Spatial Information in Europe)

INSPIRE

is

based

on

the

infrastructures

for

spatial


information

established

and

operated

by

the

27

Member

States

of

the

European

Union
.


Catalogue Service for the Web (CSW)

Spatial data for web catalogues specified by

Open Geospatial Consorcium (OGC)

OAI
-
PMH

(Open Archives Initiative Protocol for Metadata

Harvesting).

The Open Archives Initiative Protocol for Metadata

Harvesting (OAI
-
PMH) is a low
-
barrier mechanism for

repository interoperability. Data Providers are repositories

that expose structured metadata via OAI
-
PMH. Service

providers then make OAI
-
PMH service requests to harvest

that metadata.

02 ∙ FREE AND OPEN SOURCE SOFTWARE (FOSS)

12

SYSTEM REQUIREMENTS


Fast Server with (minimal) d
ual/quad core CPU…


>500 GB / 1TB hard disk,


>4 GB RAM,


OS: Windows Server 2003 / 2008 or Linux,


Extensions: MySQL/PostgreSQL, PHP, Tomcat, Java,


GIS: Included WebMapServer / ArcIMS (GisWebServer, optional),


Cloud
-
Server (optional):

dynamical scaling according to the requirements,


Virtualisation (optional):

load
-
balancing, reliability, desaster management.



Dept. of Ecosystems and Environmental Informatics

02 ∙ FREE AND OPEN SOURCE SOFTWARE (FOSS)

13

MAIN FEATURES OF GNOSS

Dept. of Ecosystems and Environmental Informatics


Fast, sensitive and intuitive search for
local and distributed (linked)
spatial data
,


according to international standards (metadata, ICT),


interactive map
-
viewer with maps and layer from servers worldwide,
including interactive Google Maps connection,


simple editing of metadata with powerful template system,


data harvesting (data exchange / synchronization of data and
metadata within closed and open networks),


fine grained user management and access control for datasets,


intern / external thesauri catalogue for keywords + RDF/SKOS, …


social networking and bookmarking included (facebook, …).



02 ∙ FREE AND OPEN SOURCE SOFTWARE (FOSS)

14

GNOS DATA RETRIEVAL

Dept. of Ecosystems and Environmental Informatics

02 ∙ FREE AND OPEN SOURCE SOFTWARE (FOSS)

15

INSPIRE DIRECTIVE CONFORM SEARCH

Dept. of Ecosystems and Environmental Informatics

GNOS makes it more easy to
get a rapid realisation of the new
requirements to build an
INSPIRE compliant data
management system.


It is possible to search according
to the INSPIRE directive for the
following criteria: annex, source
type, service type taxonomy,
themes

02 ∙ FREE AND OPEN SOURCE SOFTWARE (FOSS)

16

DATA TYPES (Example)

Dept. of Ecosystems and Environmental Informatics

Data type

Description


Applications


Special software like simulation software, mobile apps, etc.

Case studies, best practice

Text documents: expertises, studies, etc.

Data sets

Excel
-
files: measurement values for each period and
measurement point


Interactive resources

Interactive Maps (WMS), etc.


Law and guidelines

Different formats: Environmental law, threshold values,
standards


Maps

PDF, JPG files from ESRI ArcGIS


Other information resources

Other

Photo,
video

Video

(WMV)
:

time
-
laps

animation

of

the

maps

02 ∙ FREE AND OPEN SOURCE SOFTWARE (FOSS)

17

03

RECULTIVATION

OF THE

WASTE DEPOSIT
„GROSSZIETHEN“


18

03 ∙
RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“

STUDY AREA (active part)

Dept. of Ecosystems and Environmental Informatics

19

STUDY AREA (recultivated border)

Dept. of Ecosystems and Environmental Informatics

03 ∙
RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“

20

STUDY AREA (overwiev)

Dept. of Ecosystems and Environmental Informatics

03 ∙
RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“

21

SAMPLING POINTS

Dept. of Ecosystems and Environmental Informatics

To guarantee the groundwater
safety and human’s health for this
place, a long
-
term monitoring of
chemical substances in the
groundwater with different
measurement points in two levels
has been established for the last 10
years.


Annually, two measurement
campaigns (spring and fall) provide
data from 19 sampling points with
53 chem. / phys. indicators.

houses &
gardens

waste
deposit

03 ∙
RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“

22

ISO 19115:2003/19139 SCHEME FOR

WASTE DEPOSIT “GROSSZIETHEN”

Dept. of Ecosystems and Environmental Informatics

Scheme

Example


Data identification

Title

Date

Abstract

Contact information

Maintenance

Data quality

Keywords

Ressource constraints

Language

Character set

Spatial resolution

Coordinates and Reference systems

Time / Time period

Online resources




“DGZ Lead 2011 (spring) lower level”

“01.01.2011”

“Maps for groundwater contamination”

Addresses, website, contact person

“No actualization”

Uncertainness, conditions, etc.

“Waste deposit, groundwater”, etc.

“No commercial use”

“German”

“UTF
-
8”

“1:5,000”

“50.3556, 13.4656”, “ETRS 89”

“1990
-
2010”

Download link

Metadata

Persistent file identifier

Language

Character set

Contact information



“914ae19e
-
c3d1
-
44ba
-
97fd
-
1c1a20bdd”

“German”

“UTF
-
8”

Addresses, website, contact persons

03 ∙
RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“

23

DATA SEARCH AND RESULTS

Dept. of Ecosystems and Environmental Informatics

Rekultivierung

03 ∙
RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“

24

POLLUTION PROFILE

Dept. of Ecosystems and Environmental Informatics

Groundwater flow direction

03 ∙
RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“

25

POLLUTION PROFILE

Dept. of Ecosystems and Environmental Informatics

03 ∙
RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“

26

COOPERATIONS

Dept. of Ecosystems and Environmental Informatics




03 ∙
RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“

Landkreis Dahme
-
Spreewald

Umweltamt

Dept. of Ecosystems and
Environmental Informatics

27

06

CONCLUSIONS


28

CONCLUSIONS

Dept. of Ecosystems and Environmental Informatics

General:


GNOS is a main FOSS component to handle spatial (meta)data and
access previlleges with interoperable harvesting mechanisms,



VRE
´
s are able to
facilitate or enhance any research activities
in all fields
of sciences with data management and communication tools (ICT).

Study area:


Management of big and small science data with geographic reference,


Laboratories


Forecast of pollution profiles

VRE Development:


Semantic web („machine readable internet“),


Data analysis, metadata analysis,


Reporting tools, decision support systems,


Artificial intelligence.



06 ∙ CONCLUSIONS