Data Hub Alpha Presentation & Demonstrationnextgeoss.eu/.../uploads/NextGEOSS-Summit-Data-Hub-Pres.pdfNextGEOSSSummit, Helsinki at FMI Table of Contents 1.Data Hub 2.Achievements 3.Data

Data Hub AlphaPresentation & Demonstration

Christopher KraftViderum

NextGEOSS Summit, Helsinki at FMI

Table of Contents

1. Data Hub

2. Achievements

3. Data Hub Presentation/Demo

4. Development until Open Beta

5. Q&A (hopefully...)

Data Hub1

Data Hub - Introduction

Why?

§ Encourage innovation and business

§ Add value to existing infrastructure

§ Geo data needs to be accessible

Data Hub - Introduction

How?

§ Cloud technology

§ Using open source technology for the Data Hub (CKAN)

§ Making data more accessible

§ Building on recent EuroGEOSSwork

§ User oriented approach

• Using CKAN for the NextGEOSS

data hub

• CKAN development started over

10 years ago

• CKAN specialized to make data

discoverable

• PLUS: Has many features

specially for geospatial data

• Very strong API

• Many updates available

(version 2.7 is coming!)

• Open Source technology

• Active CKAN community

• Proven technology used by

many

Data Hub - CKAN

• Covering some important

regarding Data Hub

• Requirements come from many

different directions

• Ongoing process

• Important: Speaking about

requirements of the hub, not of

NextGEOSS globally

• Multi faceted search

capabilities

• Common information model

• Measure quality of service

• Big spectrum of data

• No stored data on the data hub

• Join the EuroGEOSS ecosystem

• Easy UI

Data Hub – Key Requirements

• Big spectrum of data

• No stored data on the data hub

• Join the EuroGEOSS ecosystem

• Easy UI

Data Hub – Key Requirements

• CIM = Common Information

Model

• Finding a way to catalogue the

data is needed

• CIM seems to be a good

approach

This means:

• Using basic information

available for every dataset

• Setup the schema in CKAN

after this model

• Dublin Core as orientation

• Original schema will stay

attached

Data Hub – CIM

• Only meta data is available on

the data hub

• Real data is linked from the

harvested source

• Original meta data schema gets

interpreted

• As second steps gets

transformed into CIM

Data Hub – Data

• Download will be done through

data providers

• Important to make it clear,

where data is coming from

Data Hub – Harvester

§ CKAN has a strong harvesting engine

§ Improving harvester during the project

§ Created a standardised workflow for this approach

§ Harvester is checking sources for new or updated data regularly

Achievements

Time to shine!

2

Achievements

1. Showable and useable data hub Alpha version

Achievements

2. Integrated design

Achievements

3. First data available (Sentinel)

Data Hub DemonstrationThe presented version is a restricted alpha version and still under development.

Press here to access the portal

3

Development until Open Beta4

Development until Open Beta

• Finish design integration

• Integrate more data sources

• Deploy data hub on NextGEOSS cloud

• Integrate Single Sign-on

• Integrate user feedback tool

• Quality of Service tool

Development until Open Beta

• Extending search capabilities

• Data validation

• Secure high download speed

• Integrate Geo Dab

Thank you!

Q & A