“Cool” metadata for FAIR data -

Dra. Eva Méndez. Univeristy Carlos III of Madrid

Eva Méndez Cool metadata for FAIR data

Wait a moment…

Eva Méndez Cool metadata for FAIR data

A simple one

Metadata by definition:

Data

Data about data

Data which provides information about a resource

Metadata by example:

Title, author, subject, date, type, coordinates,

(metadata elements - schemas) …

“physics”, “2004-01-23” (metadata values- schemes)

Digital format, terms and conditions, location & PID

Outline

Open Science: Here we are

Metadata at the core for FAIR data

RDA metadata WG/IG

What are “cool” metadata (formats and

records)

Metadata, where the wild things are: EOSC

Eva Méndez Cool metadata for FAIR data

Open Science: Here we are!

A systemic change in the

modus operandi of science

and research

Affecting the whole

research cycle and its

stakeholders

Commissioner Carlos Moedas

Open Science Presidency Conference

Amsterdam, 4 April 2016

1. Altmetrics on quality and impact

2. Changing publishing models

3. FAIR open data

4. Open Science Cloud (EOSC)

5. Reward System

6. Research integrity

7. Citizen Science

8. Open education and skills

5 policy actions

1. Fostering and creating incentives for open science

2. Removing barriers for open science

3. Mainstreaming and further promoting open access policies

4. Developing an open science cloud

5. Embedding open science in society to make science more

responsive to societal and economic expectations

Here we are… Systemic Change on Science

8 top-level ambitions

Eva Méndez Cool metadata for FAIR data

Research data: open by default

Horizon 2020 grantees are required to:

deposit underlying research data (and their metadata)

and other research data of their choice in a repository

Take measures to grant open access to this research data

Horizon 2020 grantees are encouraged to share datasets

beyond publication

FAIR data

+ more Rs

Reliable

Reproducible

Eva Méndez Cool metadata for FAIR data

FAIR data & Metadata

Eva Méndez Cool metadata for FAIR data

(Open) Research Data “mantra”

Eva Méndez Cool metadata for FAIR data

Making data findable, including provisions

for metadata

What metadata will be created? In case

metadata standards do not exist in your

discipline, please outline what type of

metadata will be created and how.

Where will the data and associated

metadata, … be deposited?

Interoperability of your data… What data

and metadata vocabularies, standards

or methodologies will you follow to make

your data interoperable?

The Research Data Alliance provides a

Metadata Standards Directory that can

be searched for discipline-specific

standards and associated tools.

Metadata at the core of FAIR data

Eva Méndez Cool metadata for FAIR data

Metadata IG / Metadata

standards directory/catalog WG -

Eva Méndez Cool metadata for FAIR data

Metadata principles

1. The only difference between metadata & data is mode of use

2. Metadata is not just for data, it is also for users, software

services, computing resources

3. Metadata is not just for description and discovery; it is also

for contextualization (relevance, quality, restrictions (rights,

costs) and for coupling users, software and computing

resources to data (to provide a VRE)

4. Metadata must be machine-understandable as well as human

understandable for autonomicity (formalism)

5. Management (meta)data is also relevant (research proposal,

funding, project information, research outputs, outcomes,

impact, etc.)

https://www.rd-alliance.org/system/files/documents/RDA%20Metadata%20Principles%20and%20their%20Use%2020141114.docx

Eva Méndez Cool metadata for FAIR data

Metadata standards directory/catalog

http://rd-alliance.github.io/metadata-directory

Eva Méndez Cool metadata for FAIR data

Lead users… Scientific communities …long tail

Sca

le o

f sci

en

tifi

c a

ctiv

ity

(d

ata

-dri

ven

sci

en

ce)

Humanities Citizen science

European

Open Science Cloud Scientific Landscape for Research Data:

The problem

Life

sci

ence

s

Ph

ysic

s

Ea

rth

sci

ence

s

Eco

no

mic

s

So

cia

l

scie

nce

s

Ap

plie

d -

en

gin

eeri

ng

… …

Example: SSH

Example: SSH

Eva Méndez Cool metadata for FAIR data

What are “cool” metadata? / I

https://dmp.data.jhu.edu/metadata-for-effective-research-data-management

Eva Méndez Cool metadata for FAIR data

What are “cool” metadata? / II

Completeness

Provenance

Accuracy

Conformance (expectations)

Consistency and Coherence

Timeliness

Accessibility

…

Openness

http://5stardata.info/en

Quality idicators

EOSC Image from the children’s story by Maurice Sendak

https://en.wikipedia.org/wiki/Where_the_Wild_Things_Are

A Cloud on the H2020 Horizon (final draft) http://www.bluebridge-vres.eu/sites/default/files/HLEG%20EOSC%20first%20Report%20%28draft%29.pdf

Imagine a federated, globally

accessible environment where

researchers, innovators, companies

and citizens can publish, find and re-

use each other's data and tools for

research, innovation and educational

purposes ...

This we believe encapsulates the

concept of the European Open

Science Cloud (EOSC), and indeed

such a federated European

endeavour might be expressed as the

European contribution to a Internet

of FAIR Data and services.

“The European Open Science Cloud is a supporting environment for

Open science and not an ‘open cloud’ for science”

Data

layer

Service

layer

Governance

layer

Lead users… Scientific communities …long tail

Sca

le o

f sci

en

tifi

c a

ctiv

ity

(d

ata

-dri

ven

sci

en

ce)

High performance computing

Data fusion across disciplines

Big data analytics

Privacy and personal data protection

… …

Data discovery and catalogue

Data manipulation and export

Data access and re-use

Trust

Leverage of MS investment

Legacy and sustainability

IPR protection

Federation

Humanities

Data storage

Citizen science

European

Open Science Cloud

Bottom-up governance

EU Open Science Cloud & FAIR(RR) DATA

Vocabularies layer (Interoperability)

Life

sci

ence

s

Ph

ysic

s

Ea

rth

sci

ence

s

Eco

no

mic

s

So

cia

l

scie

nce

s

Ap

plie

d -

en

gin

eeri

ng

… …

Based on Burgelman

REFLECTIONS AND TAKE AWAYS

• Vocabularies and Interoperable

Metadata for Open Research

Data

• Metadata standards: “toothbrush

effect”

• Metadata quality is not only at

schema level, but also at

scheme and content

• Good research data include good

metadata but sometimes

difficult to translate from LAB to

Open Research eInfra (EOSC)

Challenges!!!

METADATA

http://databib.org

Thank you!!

emendez@bib.uc3m.es

@evamen