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Research Data Management Step by step through the Data Life Cycle
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Research Data Management - E-Science-Tage 2019: …...2017/03/17  · Research Data Management Step by step through the Data Life Cycle slide 2 The Vision slide 3 Ecosystems Biology

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Page 1: Research Data Management - E-Science-Tage 2019: …...2017/03/17  · Research Data Management Step by step through the Data Life Cycle slide 2 The Vision slide 3 Ecosystems Biology

Research Data Management Step by step through the Data Life Cycle

Page 2: Research Data Management - E-Science-Tage 2019: …...2017/03/17  · Research Data Management Step by step through the Data Life Cycle slide 2 The Vision slide 3 Ecosystems Biology

slide 2

The Vision

Page 3: Research Data Management - E-Science-Tage 2019: …...2017/03/17  · Research Data Management Step by step through the Data Life Cycle slide 2 The Vision slide 3 Ecosystems Biology

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Ecosystems Biology

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The Marine Foodweb

DeLong et al., Nature, Vol. 437, 2005

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Ecosystems Biology

Essential

Biodiversity

Variables

Statistics

Models Predictions

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Marine Megasequencing Projects

OSD: blue stars, RSD: green dots, Tara Oceans: orange dots, Malaspina cruise: red dots,

Global Ocean Sampling (GOS): yellow dots.

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Data Integration

Page 8: Research Data Management - E-Science-Tage 2019: …...2017/03/17  · Research Data Management Step by step through the Data Life Cycle slide 2 The Vision slide 3 Ecosystems Biology

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The Reality

Page 9: Research Data Management - E-Science-Tage 2019: …...2017/03/17  · Research Data Management Step by step through the Data Life Cycle slide 2 The Vision slide 3 Ecosystems Biology

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‘Abandoned’ sequences in INSDC databases

8% with coordinates (latitude/longitude)

9% with collection date

41% with taxonomic assignment Pelin Yilmaz

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Big Data

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Value of Research Data

2007

2010

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2011

2014

Value of Research Data

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http://www.wordle.net/

Summary

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Reality

Graphic by Michael Diepenbroek (PANGAEA)

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Dark Data (the long tail)

When asked, almost all scientists will quickly acknowledge that they are

holding dark data, data that has never been published or otherwise made

available to the rest of the scientific community. An example of dark data is the

type of data that exists only in the bottom left-hand desk drawer of scientists

on some media that is quickly aging and soon will be unreadable by commonly

available devices. The data remains in this dark desk drawer, inaccessible to

the scientific community until the scientist retires. At the point of retirement

some scientists rush to find a more suitable home for their data, be they in the

form of slides, photographs, specimens, or electronic media files. More often

than not, even in a well-planned retirement the desk drawer is eventually

emptied into a dumpster because no one, including the scientist, knows

exactly what the data is since it lacks adequate documentation.

B. P. Heidorn Libr. Trends 57, 280–299; 2008

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Dark Data (the long tail)

20% by number of grants 80% by number of grants

B. P. Heidorn Libr. Trends 57, 280–299; 2008

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Availability of Research Data with Time

Vines, Timothy H. et al. Current Biology , 2014, Volume 24 , Issue 1 , 94 - 97

Odds of data being lost are

estimated to increase by 17%

in every year after

publication.

Find a working e-mail

address for the first, last, or

corresponding author fell by

7% per year.

Overall, we only received

19.5% of the requested data

sets, and only 11% for

articles published before

2000.

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The Solution?

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FAIR Data Findable, Accessible, Interoperable, Re-usable

http://www.nature.com/articles/sdata201618

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FAIR Principles

http://www.nature.com/articles/sdata201618

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Data Life Cycle

Propose

Collect data

Assure quality

Describe

Publish data

Preserve

Discover

Integrate

Analyze

Publish article

FAIR Data Findable, Accessible,

Interoperable, Re-usable

www.nature.com/articles/sdata201618

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Data Life Cycle

Propose

Collect data

Assure quality

Describe

Publish data

Preserve

Discover

Integrate

Analyze

Publish article

FAIR Data Findable, Accessible,

Interoperable, Re-usable

www.nature.com/articles/sdata201618

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Incentives

• Making data available is an essential part of the research process – It must be in the culture – the norm

• Career – Visibility – more citations

– Credibility – more credits

– Exchange – improve accessibility

• Standards

• Financial and legal framework

• Expectation “policy” by funders and publishers

•Adequate support and infrastructures

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Example USA/NSF

http://www.nsf.gov/bfa/dias/policy/dmp.jsp http://www.nsf.gov/bio/pubs/BIODMP_Guidance.pdf

October 2015

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Example Netherlands

http://www.nwo.nl/en/policies/open+science/data+management

FAIR Data

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Example EU H2020

http://ec.europa.eu/research/participants/docs/h2020-funding-guide/cross-cutting-issues/open-access-data-

management/open-access_en.htm

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Example DFG – DMP

http://www.dfg.de/download/pdf/foerderung/antragstellung/forschungsdaten/guidelines_biodiversity_research.pdf

FAIR Data

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Example DFG – DMP

http://www.dfg.de/download/pdf/foerderung/antragstellung/forschungsdaten/guidelines_biodiversity_research.pdf

FAIR Data

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Incentives

• Making data available is an essential part of the research process – It must be in the culture – the norm

• Career – Visibility – more citations

– Credibility – more credits

– Exchange – improve accessibility

• Standards/SOPs

• Financial and legal framework

• Expectation “policy” by funders and publishers

• Adequate support and infrastructures

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German Federation for Biological Data

Funded by

www.gfbio.org

Sustainable, service oriented,

national data infrastructure

facilitating data sharing for biological

and environmental research.

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• Single point of contact for:

– Data management

– Long-term data archival

– Integrated data discovery

– Visualization and analyses

• Helpdesk

• Support & Training

GFBio Services

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Should cover the following points:

• Data acquisition (size, type)

• Quality assurance, standards

• Intermediate handling and storage

• Long-term archiving (data centers)

• Analysis (tools)

• Publication (open-access)

Data Management Plan

Contact us [email protected]

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Long-term Data Archival

GFBio data centers and their services at a glance

• Collection data

• Environmental data

• Molecular data

http://www.gfbio.org/data-centers

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Environmental Data PANGAEA

• Hosted by the MARUM - Center for Marine Environmental Sciences (Bremen) & Alfred Wegener Institute for Polar and Marine Research, Bremerhaven

• Since 1993 - Information system for long-term archiving and publication of data from earth & environmental science

• Large range of different environment related data e.g.

– Environmental time series

– Photos, movies

– Sediment samples

– Biodiversity

– many more.....

Total number of data sets ~ 350.000 Data items ~ 10 billions

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Environmental Data PANGAEA

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Molecular Data Brokerage

What we offer: – Standardization of

molecular metadata according to the MIxS1 standard

–Manual input and template download/upload

– Linking of persistent identifiers across data centers (ENA + PANGAEA)

1 http://www.gensc.org/mixs

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Sustainability

Basic operations/maintenance

Developments User involvement

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Transition

“Research” project with 20 partners project funding

Single legal entity sustainable business model

e.V.

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• GFBio e.V. is the legal entity

• Founded on 31.05.2016

• 11 founding members (10 persons and GWDG) – 1. Chairman: Michael Diepenbroek

– 2. Chairman: Birgitta König-Ries

– Treasurer: Frank Oliver Glöckner

– 1. Assessor: Dagmar Triebel

– 2. Assessor: Anton Güntsch

GFBio e.V.

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The Costs?

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Value of Access to Data

http://www.ands.org.au/working-with-data/articulating-the-value-of-open-data/open-research-data-report

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Costs of Data Loss

Type of loss Average cost of each data

loss incident

Technical service $ 340

Loss of productivity $ 217

Value of the lost data $ 3400

Sub total $ 3957

Episodes of data loss 4,607,100

Total US data loss costs $ 18.2 billion = € 17.1 billion

David M. Smith, Graziado Business Review 2003 Volume 6 Issue 3

Data stored on 76.2 million PCs (USA)

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RDM Costs

6.76 Billion Euro third party funding in 2012 427 Universities in Germany

5-15% is needed for Research Data Management

338 – 1014 Million Euro

http://www.dfg.de/service/presse/pressemitteilungen/2015/pressemitteilung_nr_43

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Contact & Services

www.gfbio.org [email protected]

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Thanks to...

GFBio

GFBio e.V.

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Thanks for your attention