This document summarizes discussions and outcomes from the Dutch EU Presidency in 2016 regarding open science. It discusses the Amsterdam Call for Action on Open Science which set goals of full open access to publications by 2020 and optimal reuse of research data. The ERAC Taskforce on Open Data and a Competitiveness Council meeting resulted in conclusions supporting the open science agenda. The document also outlines the European Commission's ongoing work to develop the Open Science Policy Platform and further the European Open Science Agenda.
The Needs of stakeholders in the RDM process - the role of LEARNLEARN Project
Presentation at 3rd LEARN workshop on Research Data Management, “Make research data management policies work”
Helsinki, 28 June 2016, by Martin Moyle/Paul Ayris, UCL Library Services
“Open Research Data: Implications for Science and Society”, Warsaw, Poland, May 28–29, 2015, conference organized by the Open Science Platform — an initiative of the Interdisciplinary Centre for Mathematical and Computational Modelling at the University of Warsaw. pon.edu.pl @OpenSciPlatform #ORD2015
The Needs of stakeholders in the RDM process - the role of LEARNLEARN Project
Presentation at 3rd LEARN workshop on Research Data Management, “Make research data management policies work”
Helsinki, 28 June 2016, by Martin Moyle/Paul Ayris, UCL Library Services
“Open Research Data: Implications for Science and Society”, Warsaw, Poland, May 28–29, 2015, conference organized by the Open Science Platform — an initiative of the Interdisciplinary Centre for Mathematical and Computational Modelling at the University of Warsaw. pon.edu.pl @OpenSciPlatform #ORD2015
FOURTH CODESRIA CONFERENCE ON ELECTRONIC PUBLISHING AND DISSEMINATION: The Open Access Movement and the Future of Africa’s Knowledge Economy, March 31, 2016, Dakar, Senegal
POERUP elevator pitch: 26 countries in 26 minuteswitthaus
Presentation by POERUP team at OER13 in Nottingham - an overview of open educational resources policies worldwide, based on the POERUP project research (http://www.poerup.info)
Libraries Advocating for Open Access: Best Practices and Lessons LearntIryna Kuchma
Best practices and lessons learnt from national and institutional open access (OA) advocacy campaigns in EIFL partner countries to reach out to research communities. Recommendations are based on 11 case studies showcasing successful national and institutional campaigns in Eastern Europe and Africa (in Estonia, Latvia, Lithuania, Poland, Slovenia, Ukraine, Botswana, Ghana, Malawi, Sudan and Zimbabwe). The campaigns resulted in increased understanding and awareness about OA. Most transferable elements that made the projects succeed (strategies, tactics and tools) are described.
How can we ensure research data is re-usable? The role of Publishers in Resea...LEARN Project
How can we ensure research data is re-usable? The role of Publishers in Research Data Management, by Catriona MacCallum. 2nd LEARN Workshop, Vienna, 6th April 2016
Data management: The new frontier for librariesLEARN Project
Presentation at 3rd LEARN workshop on Research Data Management, “Make research data management policies work”, by Kathleen Shearer, COAR, CARL/ABCR, RDC/DCR, ARL, SSHRC/CSRH.
Keynote talk to LEARN (LERU/H2020 project) for research data management. Emphasizes that problems are cultural not technical. Promotes modern approaches such as Git / continuousIntegration, announces DAT. Asserts that the Right to Read in the Right to Mine. Calls for widespread development of contentmining (TDM)
Innovating Open Education: Critical Pathways and Communities of PracticeRobert Farrow
This presentation from Open Education Global 2021 provides an overview of the ENCORE+ project (https://encoreproject.eu/) and discusses the relationship between open educational resources (OER) and innovation, identifying strategies for knowledge exchange.
Open Access Initiatives on a Regional and Global Scale: EIFL, OASPA, COAR and...Iryna Kuchma
The presentation covers EIFL's open access programme, Confederation of Open Access Repositories (COAR), Networked Digital Library of Theses and Dissertations (NDLTD) and Open Access Publishers Association (OASPA).
The Global OER Graduate Network (GO-GN): Engaging Doctoral Research with Open...Robert Farrow
This workshop was led by the Global OER Graduate Network (GO-GN) team (http://go-gn.net/). GO-GN is a network of PhD candidates around the world whose research projects include a focus on open education. These doctoral researchers are at the core of the network while around them, experts, supervisors, mentors and interested parties connect to form a community of practice. Considering the growth of open research and the commitment of research funders to follow this approach, there is a need to understand what open research practices imply. This involves understanding the benefits and challenges of making research more visible to increase impact and opportunities for collaboration with other researchers when doing a PhD and when pursuing a career in academia.
The workshop will focus on introducing the network possibilities for PhD students, including worldwide support to those researching in the different areas of open education. We will expose the values of the network promoting equity and inclusion in the field of open education research and introduce the different types of events we host such as an annual face-to-face workshop and online events. As well, we will discuss the support for alumni and members with a funded fellowship scheme and the acknowledgement of our members’ achievements through our annual awards. At the second part of the workshop, we will have a practical exercise with the audience to promote the co-authoring of research publications with our members. Two examples of those which will be disclosed are the research methods handbook, awarded with the 2020 Open Education Award for Excellence Winner, and the Research Review Summer 2020.
NHMRC & ARC Perspective on Data Management and Future DirectionsARDC
Justin Withers, Director, Policy and Integrity, Australian Research Council, presented at the Research Integrity Advisors Research Data Management Workshop in Hobart, 2017.
Experfy.com - This Big Data training gives one the background necessary to start doing analyst work on Big Data. It covers - areas like Big Data basics, Hadoop basics and tools like Hive and Pig - which allows one to load large data sets on Hadoop and start playing around with SQL Like queries over it using Hive and do analysis and Data Wrangling work with Pig.
The Big Data online course also teaches Machine Learning Basics and Data Science using R and also covers Mahout briefly - a Recommendation, Clustering Engine on Large data sets. The course includes hands-on exercises with Hadoop, Hive , Pig and R with some examples of using R to do Machine Learning and Data Science work
See more at: https://www.experfy.com/training/courses/big-data-analyst
FOURTH CODESRIA CONFERENCE ON ELECTRONIC PUBLISHING AND DISSEMINATION: The Open Access Movement and the Future of Africa’s Knowledge Economy, March 31, 2016, Dakar, Senegal
POERUP elevator pitch: 26 countries in 26 minuteswitthaus
Presentation by POERUP team at OER13 in Nottingham - an overview of open educational resources policies worldwide, based on the POERUP project research (http://www.poerup.info)
Libraries Advocating for Open Access: Best Practices and Lessons LearntIryna Kuchma
Best practices and lessons learnt from national and institutional open access (OA) advocacy campaigns in EIFL partner countries to reach out to research communities. Recommendations are based on 11 case studies showcasing successful national and institutional campaigns in Eastern Europe and Africa (in Estonia, Latvia, Lithuania, Poland, Slovenia, Ukraine, Botswana, Ghana, Malawi, Sudan and Zimbabwe). The campaigns resulted in increased understanding and awareness about OA. Most transferable elements that made the projects succeed (strategies, tactics and tools) are described.
How can we ensure research data is re-usable? The role of Publishers in Resea...LEARN Project
How can we ensure research data is re-usable? The role of Publishers in Research Data Management, by Catriona MacCallum. 2nd LEARN Workshop, Vienna, 6th April 2016
Data management: The new frontier for librariesLEARN Project
Presentation at 3rd LEARN workshop on Research Data Management, “Make research data management policies work”, by Kathleen Shearer, COAR, CARL/ABCR, RDC/DCR, ARL, SSHRC/CSRH.
Keynote talk to LEARN (LERU/H2020 project) for research data management. Emphasizes that problems are cultural not technical. Promotes modern approaches such as Git / continuousIntegration, announces DAT. Asserts that the Right to Read in the Right to Mine. Calls for widespread development of contentmining (TDM)
Innovating Open Education: Critical Pathways and Communities of PracticeRobert Farrow
This presentation from Open Education Global 2021 provides an overview of the ENCORE+ project (https://encoreproject.eu/) and discusses the relationship between open educational resources (OER) and innovation, identifying strategies for knowledge exchange.
Open Access Initiatives on a Regional and Global Scale: EIFL, OASPA, COAR and...Iryna Kuchma
The presentation covers EIFL's open access programme, Confederation of Open Access Repositories (COAR), Networked Digital Library of Theses and Dissertations (NDLTD) and Open Access Publishers Association (OASPA).
The Global OER Graduate Network (GO-GN): Engaging Doctoral Research with Open...Robert Farrow
This workshop was led by the Global OER Graduate Network (GO-GN) team (http://go-gn.net/). GO-GN is a network of PhD candidates around the world whose research projects include a focus on open education. These doctoral researchers are at the core of the network while around them, experts, supervisors, mentors and interested parties connect to form a community of practice. Considering the growth of open research and the commitment of research funders to follow this approach, there is a need to understand what open research practices imply. This involves understanding the benefits and challenges of making research more visible to increase impact and opportunities for collaboration with other researchers when doing a PhD and when pursuing a career in academia.
The workshop will focus on introducing the network possibilities for PhD students, including worldwide support to those researching in the different areas of open education. We will expose the values of the network promoting equity and inclusion in the field of open education research and introduce the different types of events we host such as an annual face-to-face workshop and online events. As well, we will discuss the support for alumni and members with a funded fellowship scheme and the acknowledgement of our members’ achievements through our annual awards. At the second part of the workshop, we will have a practical exercise with the audience to promote the co-authoring of research publications with our members. Two examples of those which will be disclosed are the research methods handbook, awarded with the 2020 Open Education Award for Excellence Winner, and the Research Review Summer 2020.
NHMRC & ARC Perspective on Data Management and Future DirectionsARDC
Justin Withers, Director, Policy and Integrity, Australian Research Council, presented at the Research Integrity Advisors Research Data Management Workshop in Hobart, 2017.
Experfy.com - This Big Data training gives one the background necessary to start doing analyst work on Big Data. It covers - areas like Big Data basics, Hadoop basics and tools like Hive and Pig - which allows one to load large data sets on Hadoop and start playing around with SQL Like queries over it using Hive and do analysis and Data Wrangling work with Pig.
The Big Data online course also teaches Machine Learning Basics and Data Science using R and also covers Mahout briefly - a Recommendation, Clustering Engine on Large data sets. The course includes hands-on exercises with Hadoop, Hive , Pig and R with some examples of using R to do Machine Learning and Data Science work
See more at: https://www.experfy.com/training/courses/big-data-analyst
Framework for Data Informed Science PolicyBrian Wee
Large-scale environmental changes pose challenges that straddle environmental, economic, and social boundaries. As we design and implement climate adaptation strategies at the Federal, state, local, and tribal levels, accessible and usable data are essential for implementing actions that are informed by the best available information. Data-intensive science has been heralded as an enabler for scientific breakthroughs powered by advanced computing capabilities and interoperable data systems. Those same capabilities can be applied to data and information systems that facilitate the transformation of data into highly processed products.
At the interface of scientifically informed public policy and data intensive science lies the potential for producers of credible, integrated, multi-scalar environmental data like the National Ecological Observatory Network (NEON) and its partners to capitalize on data and informatics interoperability initiatives that enable the integration of environmental data from across credible data sources. NSF’s large-scale environmental observatories such as NEON and the Ocean Observatories Initiative (OOI) are designed to provide high-quality, long-term environmental data for research. These data are also meant to be repurposed for operational needs that like risk management, vulnerability assessments, resource management, and others. The proposed USDA Agriculture Research Service (ARS) Long Term Agro-ecosystem Research (LTAR) network is another example of such an environmental observatory that will produce credible data for environmental / agricultural forecasting and informing policy.
To facilitate data fusion across observatories, there is a growing call for observation systems to more closely coordinate and standardize how variables are measured. Together with observation standards, cyberinfrastructure standards enable the proliferation of an ecosystem of applications that utilize diverse, high-quality, credible data. Interoperability facilitates the integration of data from multiple credible sources of data, and enables the repurposing of data for use at different geographical scales. Metadata that captures the transformation of data into value-added products (“provenance”) lends reproducability and transparency to the entire process. This way, the datasets and model code used to create any product can be examined by other parties.
This poster outlines a pathway for transforming environmental data into value-added products by various stakeholders to better inform sustainable agriculture using data from environmental observatories including NEON and LTAR.
The Framework Program for the Sustainable Management of La Plata Basin's Wate...Iwl Pcu
La Plata Presentation on how IW projects can be sustained through the right mix of governance structures. Presentation delivered by Silvia Rafaelli at the 2nd Regional Targeted Workshop for GEF IW Projects in Buenos Aires, Argentina
Open Source Framework for Deploying Data Science Models and Cloud Based Appli...ETCenter
Next generation applications address more sophisticated questions that go beyond 'What happened?' by using Machine Learning/Statistical modelling to answer 'Why?' and 'What will happen next? Data insights can be easily deployed and rapidly delivered to the decision makers via cloud based applications. This framework focuses on technologies available for the entire data workflow from ingestion and modeling to cloud deployment; Hadoop, MADlib, Python, R, CloudFoundry, etc. This presentation will also include examples of how this framework and innovative Data Science techniques have been applied across diverse business units within Media, including pricing analyses for ad optimization and predicting viewership.
Vortrag im Rahmen der EERA-Session: Open Science and Educational Research? Inclusion and Exclusion at the European Open Science Cloud; am 5. September 2018 in Bolzano (Italien).
European Commission
DG Research and Innovation
RTD.A2. Open Data Policy and Science Cloud
Katarzyna Szkuta
“Open Research Data: Implications for Science and Society”, Warsaw, Poland, May 28–29, 2015, conference organized by the Open Science Platform — an initiative of the Interdisciplinary Centre for Mathematical and Computational Modelling at the University of Warsaw. pon.edu.pl @OpenSciPlatform #ORD2015
Open Research Data: Present and planned EC Policy, Jean-Claude Burgelman impl...Platforma Otwartej Nauki
“Open Research Data: Implications for Science and Society”, Warsaw, Poland, May 28–29, 2015. The conference was organized by the Open Science Platform — an initiative of the Interdisciplinary Centre for Mathematical and Computational Modelling at the University of Warsaw. pon.edu.pl @OpenSciPlatform #ORD2015
The presentation discusses the current largely commercial-based publishing system and contextualizes it within the research assessment system. It presents institution-based non-for -profit publishing initiaves and the European Commissions policies and supports in the direction of empowering this type of scholarly communication.
This presentation gives an overview of European Commission policies and initiatives aiming to promote open access to scientific information in the European Research Area (ERA). In this policy area, the Commission acts both as a policymaking and as a funding body. As policymaker, it defines policies within the context of European research and ICT policy. As a funding body, it lays down rules on access to the results of the research it funds within the Framework Programme for research development. This contribution introduces the European Commission's general approach regarding access to scientific information, presents specific initiatives in the field of open access to peer-reviewed scientific publications, and develops a first approach to open access to data.
The European Commission's proposal for embedding open science in horizon europe. Particular emphasis on open access and research data management aspects. Also presenting the new publishing platform of the Commission, Open Research Europe
Topics covered at the workshop address basic questions related to Research Data Management for open data, which include preparing a Research Data Management (RDM) plan, licensing data and intellectual property, metadata and contextual description (documentation), ethical and legal aspects of sharing sensitive or confidential data, anonymizing research data for reuse, data archiving and long-term preservation, and data security and storage.
Event: http://conferences.nib.si/AS2015/default.htm
Related material: http://conferences.nib.si/AS2015/BookAS15.pdf
The National Open Research Forum (NORF) online event held on 21 November 2022 to launch Ireland’s National Action Plan for Open Research 2022-2030 and projects funded by the NORF 2022 Open Research Fund.
My presentation at https://openaire.eu/research-policy-monitoring-in-the-era-of-open-science-and-big-data-the-what-indicators-and-the-how-infrastructures
Similar to Research Support in an Open Science Framework - Ron Dekker, seconded national expert at EC/DG RTD (20)
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
4. Dutch
EU
Presidency
2016-‐I
• ERAC
Taskforce
on
Open
Data
European
Research
Ares
CommiMee
(member
states)
• Open
Science
Conference
Amsterdam
– Amsterdam
Call
for
Ac.on
on
Open
Science
www.openaccess.nl/en/events/amsterdam-‐call-‐for-‐ac.on-‐on-‐open-‐science
– Side
events,
e.g.
on
IPR-‐issues
for
data
• EC
workshop
in
Feb
‘17
on
IPR
• Compe..veness
Council
– Conclusions
on
Open
Science
www.data.consilium.europa.eu/doc/document/ST-‐9526-‐2016-‐INIT/en/pdf
5. ERAC
TF
on
Op.mal
Reuse
of
Research
Data
TRAINING
OF
STAKEHOLDERS
AND
AWARENESS
RAISING
1.
Promote
a
beMer
understanding
of
open
research
data
2.
Establish
training
and
educa.on
programs
on
Open
Science
3.
Establish
a
reward
system
for
data
sharing
ac.vi.es
4.
Ensure
sound
monitoring
DATA
QUALITY
AND
MANAGEMENT
5.
Make
data
iden.fiable
and
citable
6.
Promote
metadata
standardisa.on
and
produc.on
of
metadata
7.
Promote
innova.ve
models
for
peer-‐review
and
quality
assurance
8.
Strongly
promote
the
use
of
data
management
plans
SUSTAINABILITY
AND
FUNDING
9.
Ensure
the
existence
of
FAIR
open
research
data
infrastructures
10.
Ensure
funding
for
open
research
data
and
for
data
sharing
ac.vi.es
LEGAL
ISSUES
11.
Make
IPR
issues
insigh_ul
6. Call
for
AcGon:
set
goals
&
work
out
Two important pan-European goals
for 2020:
1. Full open access for all scientific
publications
2. A fundamentally new approach
towards optimal reuse of
research data
Flanking policy
3. New assessment, reward and
evaluation systems
4. Alignment of policies and
exchange of best practices
7. Removing
barriers
to
open
science
1.
Change
assessment,
evalua.on
and
reward
systems
in
science
2.
Facilitate
text
and
data
mining
of
content
3.
Improve
insight
into
IPR
and
issues
such
as
privacy
4.
Create
transparency
on
the
costs
and
condi.ons
of
academic
communica.on
Developing
research
infrastructures
5.
Introduce
FAIR
and
secure
data
principles
6.
Set
up
common
e-‐infrastructures
Fostering
and
creaGng
incenGves
for
open
science
7.
Adopt
open
access
principles
8.
S.mulate
new
publishing
models
for
knowledge
transfer
9.
S.mulate
evidence-‐based
research
on
innova.ons
in
open
science
Mainstreaming
and
further
promoGng
open
science
policies
10.
Develop,
implement,
monitor
and
refine
open
access
plans
SGmulaGng
and
embedding
open
science
in
science
and
society
11.
Involve
researchers
and
new
users
in
open
science
12.
Encourage
stakeholders
to
share
exper.se
and
informa.on
on
open
science
8.
9. Council
Conclusions
Council Conclusions aligned with
• A’dam Call for Action
• EC Open Science Agenda
• Stress
the
importance
of
Open
Science
• Open
Science
Policy
PlaUorm
and
European
Open
Science
Agenda
• Removing
barriers
and
fostering
incenGves
• Open
access
to
scienGfic
publicaGons
• OpGmal
reuse
of
research
data
• Follow-‐up
10. Council
Conclusions
• Stress
the
importance
of
Open
Science
• 1.
Open
Science
as
an
ongoing
transformaGon
• 2.
PotenGal
to
increase
benefits
of
science
• 3.
Focus
on
PublicaGons
&
Data
• Open
Science
Policy
PlaUorm
and
European
Open
Science
Agenda
• 4.
Open
Science
Policy
PlaUorm;
Start
iniGaGves;
Inform
each
other
• 5.
Further
develop
the
European
Open
Science
Agenda
• Removing
barriers
and
fostering
incenGves
• 6.
Results
open
ASAP;
Remove
legal
barriers
• 7.
Impact
to
Science
and
Society;
QA;
Reward
Systems;
Data
CitaGon
• 8.
TDM
for
All
• 9.
Retain
Copyright,
use
Licensing
Models
11. Council
Conclusions
(c’tnd)
• Open
access
to
scienGfic
publicaGons
• 10.
Open
Access
as
point
of
departure;
common
principles
• 11.
Compliance
on
Open
Access
• 12.
Open
Access
in
2020;
Funding
of
new
Models;
Common
Principles
• 13.
Set
Milestones;
Monitoring;
Facilitate
InformaGon
Sharing
• OpGmal
reuse
of
research
data
• 14.
OpGmal
reuse
as
point
of
departure;
data
as
public
good
• 15.
Open
by
default;
promote
data
stewardship;
implement
DMP’s
• 16.
FAIR
&
Safe
Data
• 17.
European
Open
Science
Cloud
• Follow-‐up
• 18.
Advocate
Open
Science;
Coordinate
AcGviGes
&
InformaGon
12. EC
Open
Science
Agenda
• Fostering
and
creaGng
incenGves
for
Open
Science
Open
Science
in
educa.on
programmes
and
best
prac.ces
Extending
the
input
of
knowledge
producers
in
an
open
environment
(ci.zen
science).
It
is
also
about
the
quality,
impact
and
research
integrity
of
science
• Removing
barriers
for
Open
Science
includes
a
review
of
researchers'
careers
with
a
view
on
crea.ng
incen.ves
and
awarding
researchers
for
engagement
with
Open
Science
• Developing
research
infrastructures
for
Open
Science
Improve
data
hos.ng,
access
and
governance
• Mainstreaming
and
further
promoGng
Open
Access
policies
to
research
data
and
publica.ons
• Embedding
Open
Science
in
society
as
a
soc-‐ec
driver
Open
Science
becomes
instrumental
in
making
science
more
responsive
to
societal
and
economic
expecta.ons.
13. 8
Priori.es
in
the
OS
Agenda
1. Reward
system
2. Measuring
quality
and
impact:
altmetrics
3. Changing
business
models
for
publishing
4. FAIR
open
data
5. Open
Science
Cloud
6. Research
integrity
7. Ci.zen
Science
8. Open
educa.on
and
skills
Where
to
start
in
order
to
effect
the
sytem
change
14. Intermezzo:
System
Change
on
Science
The
way
we
do
science
will
change,
because
of
– Digi.za.on
– Data
availability
– Need
for
transparency
and
reproducibility
– Need
to
beMer
connect
with
society
at
large
– Need
to
tackle
grand
challenges
16. European Open Science Agenda: 8 priorities
1. Reward system
2. Altmetrics on quality and impact
3. Changing publishing models
4. FAIR open data
5. Open Science Cloud
6. Research integrity
7. Citizen Science
8. Open education and skills
17. Open
Science
Policy
Pla_orm
• 25
members
hMps://ec.europa.eu/research/openscience/
NL:
Karel
Luyben
TUDele;
Jan
van
den
Biesen
Business
Europe
• Develop
the
Open
Science
Policy
Agenda
• Mandate
1. func'on
as
a
dynamic,
stakeholder-‐driven
mechanism
iden.fy
the
issues
to
be
addressed;
bring
up
and
address
issues
of
concern
for
the
science
and
research
community
2. advise
the
Commission
on
how
to
further
develop
and
prac.cally
implement
open
science
policy;
recommenda.ons
on
the
policy
ac.ons
required
and
any
cross-‐cuing
issue
affec.ng
Open
Science
3. support
policy
implementa'on
contribute
to
reviewing
best
prac.ces,
drawing
policy
guidelines
and
encouraging
their
ac.ve
uptake
by
stakeholders
18. Other,
related
EC
ac.vi.es
• Digital
Single
Market
Strategy
– European
Cloud
• High
Level
Expert
Groups
– Open
Science
Cloud
report
end
2016
– Altmetrics
– FAIR
data
and
Rewards
are
star.ng
up
• Data
Management
Plans
in
Horizon
2020
• Open
Science
Policy
Pla_orm
• Direc.ve
on
Copyright
– Text
and
Data
Mining
19. Some
thoughts
• Data
might
become
the
new
oil
(but
are
not
scarce
–
in
fact
can
be
re-‐used
over
and
over
again)
Yochai
Benkler
Wealth
of
Networks
– Infrastructures
as
faciliGes;
but
it’s
the
data
that
count
à
you
need
exper.se
and
trained
data
scien.sts
SCARCE!
– Don’t
confuse
“open”
with
re-‐use
à
FAIR
&
secure
Some
data
might
need
protec.on,
rules
for
access,
and
some
might
need
explana.on,
help
in
analysis.
Data
sharing:
Ensure
FAIR
&
data
security
and
have
a
clear
IP
policy
(on
apps,
value
added)
• PlaUorms
(cf.
Facebook,
Twifer,
Google,
…)
– For
data
– For
publicaGons
20. Some
thoughts
• Inclusive
approach
– Alignment
and
Concerted
AcGons
– Get
the
researchers
involved!
• Find
ambassadors
or
champions
– Prof.
Frédéric
Kaplan:
The
Venice
Time
Machine
à
A’dam
hMps://www.ted.com/talks/frederic_kaplan_how_i_built_an_informa.on_.me_machine
• Find
new
users
cf.
disrupGve
innovaGon
(Clayton
Christensen)
– European
CiGzens
Science
AssociaGon
hMp://ecsa.ci.zen-‐science.net/
– zooniverse
(hMps://www.zooniverse.org/)
• H2020
Work
Programme
2016/17
16.
Science
with
and
for
society
• 10-‐2017:
Pumng
Open
Science
into
acGon
21. Some
thougths
• Get
organized
Have
a
Value
ProposiGon
And
an
Audience
Alex
Osterwalder
CANVAS
STRATEGYZER
[based
on
his
PhD]
Become
a
Brand
–
or
get
a
ReputaGon
Get
ready
for
the
InformaGon
Economy
22. Time
for
Ac.on
is
now!
With
respect
to
Open
Access
and
Re-‐use
of
Data
• Pick
>
3
items
from
the
Amsterdam
Call
for
AcGon
– Use
an
inclusive
approach,
– Have
poliGcal
support
• Realise
them
within
two
years
• Come
to
Amsterdam
conference
in
2018
to
present
– Follow
up
of
the
Presidency
conference