• No results found

From observations to ecosystem analysis. The data flow generating FAIR data Lennert Schepers

N/A
N/A
Protected

Academic year: 2021

Share "From observations to ecosystem analysis. The data flow generating FAIR data Lennert Schepers"

Copied!
37
0
0

Loading.... (view fulltext now)

Full text

(1)

From observations to

ecosystem analysis

The data flow generating FAIR data

(2)

1. Data collection 5. Data integration 4. Data Archiving and Publication 3. Dataset Description Scientific question 2. Data analysis 6. Data dissemination /reuse

VLIZ Dat

a mana

ge

men

t c

yc

le

OPEN

DATA

CYCLE

(3)

1. Data collection 5. Data integration 4. Data Archiving and Publication 3. Dataset Description

Scientific

question

2. Data analysis 6. Data dissemination /reuse

VLIZ Dat

a mana

ge

men

t c

yc

le

(4)
(5)

1. Data collection

1. Data collection 5. Data integration 4. Data Archiving and Publication 3. Dataset Description Scientific question 2. Data analysis 6. Data dissemination /reuse

VLIZ

Da

ta

man

age

me

n

t

cycle

(6)
(7)
(8)

Long term sampling stations

Monthly sampling campaigns

Nieuwpoort: 120 – 215 – ZG02

Oostende: 130 – 230 – 330

Zeebrugge: 700 – 710 - 780

Seasonal sampling campaigns

Additional stations: 421 W08

LW01 W10 LW02 W09 – 435

-W07bis

(9)
(10)

1. Data collection - result

Result:

sample taken according to

well-defined protocol

(11)

2. Data analysis

1. Data collection 5. Data integration 4. Data Archiving and Publication 3. Dataset Description Scientific question 2. Data analysis 6. Data dissemination /reuse

VLIZ

Da

ta

man

age

me

n

t

cycle

(12)

2. Data analysis

VLIZ

Da

ta

man

age

me

n

t

cycle

1. Data collection 5. Data integration 4. Data Archiving and Publication 3. Dataset Description sample analysis database internal data storage Scientific question 2. Data analysis 6. Data dissemination /reuse

(13)

2. Data analysis

From sample to image to observation

sample analysis database internal data storage

(14)

3.

Dataset description

1. Data collection 5. Data integration 4. Data Archiving and Publication 3. Dataset Description Scientific question 2. Data analysis 6. Data dissemination /reuse

VLIZ

Da

ta

man

age

me

n

t

cycle

(15)

3. Data set description

http://www.vliz.be/imis?module=dataset&dasid=4687

(16)

4.

Data Archiving and Publication

1. Data collection 5. Data integration 4. Data Archiving and Publication 3. Dataset Description Scientific question 2. Data analysis 6. Data dissemination /reuse

VLIZ

Da

ta

man

age

me

n

t

cycle

(17)

4. Archiving: Marine Data Archive

(18)

Data publication

http://www.vliz.be/imis?module=

dataset&dasid=4687

https://doi.org/10.14284/394

(19)

5.

Data Integration

1. Data collection 5. Data integration 4. Data Archiving and Publication 3. Dataset Description Scientific question 2. Data analysis 6. Data dissemination /reuse

VLIZ

Da

ta

man

age

me

n

t

cycle

(20)

5.

Data Integration

1. Data collection 5. Data integration 4. Data Archiving and Publication 3. Dataset Description Scientific question 2. Data analysis 6. Data dissemination /reuse

VLIZ

Da

ta

man

age

me

n

t

cycle

QC Standardization Integration Integrated database

(21)

Integrated marine biological database:

EurOBIS

LifeWatch Species Information Backbone:

EurOBIS

World Register of Marine Species

Marine Regions

5. Data Integration

QC Standardization Integration Integrated database

(22)

Taxonomic quality control

Dataset Scientific names After tax. check 1 Calanus fimarchicus

2 Calanus finmarchicus Calanus finmarchicus

3 Calanus elegans

4 Cetochilus finmarchicus

Data standardisation

urn:lsid:marinespecies.org:taxname:104466

(23)

Controlled vocabularies

Data standardisation

Biomass?

Dry weight?

Ash-free?

Wet weight?

Units?

(24)

5. Data Integration

QC Standardization Integration Integrated database

(25)

6. Data dissemination

1. Data collection 5. Data integration 4. Data Archiving and Publication 3. Dataset Description 2. Data analysis 6. Data dissemination

VLIZ

Da

ta

man

age

me

n

t

cycle

(26)

6. Data dissemination

1. Data collection 5. Data integration 4. Data Archiving and Publication 3. Dataset Description 2. Data analysis 6. Data dissemination

VLIZ

Da

ta

man

age

me

n

t

cycle

dissemination reuse products

(27)

6. Data dissemination

LifeWatch Data Explorers

Kustportaal

Data paper

EMODnet Biology

FAIR - Findable - Accessible - Interoperable - Reusable

dissemination reuse

(28)

6. Data dissemination: data explorer

Interactive viewer to

visualize the data

http://rshiny.lifewatch.be/

zooscan-data/

(29)

6. Data dissemination: data explorer

(30)

6. Data dissemination: data portals

(31)

6. Data dissemination: data papers

Data paper: much more than data!

Detailed description of whole workflow, from sample to data integration

How to access the data

...

(32)

6. Data dissemination: EMODnet Biology

www.emodnet-biology.eu

Portal on EurOBIS database

Download toolbox

Viewer

Webservices

(33)

8. Data reuse: from data to data products

dissemination reuse

(34)

8. Data reuse: from data to data products

(35)

8. Data reuse: from data to data products

ICES' Operational Oceanographic Products and Services (OOPS)

(36)
(37)

7. Data reuse: from data to

data products

References

Related documents