The document summarizes Salvatore Mele's presentation on open science in high-energy physics (HEP) at the OpenCon 2015 conference in Brussels. It discusses how HEP research requires massive international collaboration and data sharing. It provides examples of open data initiatives like the arXiv preprint server and the SCOAP3 consortium that converted major HEP journals to open access. It argues that open data sharing has always been essential to HEP and accelerates scientific progress, though some initially viewed open data in HEP as impossible due to its size and complexity.
El Acceso Abierto en España ha recorrido un largo camino y con éxitos evidentes pero con demasiados obstáculos. A riesgo de simplificar demasiado, hemos pasado en España de abordar como dar soporte desde el punto de vista de la tecnología al Acceso Abierto, a tener que afrontar problemas menos de infraestructura y más de estrategia y política institucional con respecto al mismo. Son muchas las preguntas y dudas a las que aun hoy nos enfrentamos.
¿Cuál es y cuál debe ser el papel de las agencias financiadoras? ¿Resulta fácil para un investigador en España cumplir con los requisitos que se le imponen con respecto al Acceso Abierto? ¿Es posible apostar a nivel institucional por el Acceso Abierto y al mismo tiempo cumplir con las limitaciones que la vigente Ley de propiedad intelectual impone al acceso a través de las redes? ¿Es factible un acuerdo gana/gana entre bibliotecas y grandes editores académicos? ¿Cuál es el papel que deben jugar las bibliotecas? ¿Estamos preparados para afrontar los retos del Open Data?
REBIUN, sectorial de la CRUE dedicada a las bibliotecas universitarias, ya en 2004 se posicionó como defensora e impulsora del Acceso Abierto y, desde entonces, han sido numerosas las iniciativas y trabajos liderados por REBIUN en este sentido. En la actualidad, su vigente plan estratégico recoge objetivos estratégicos relacionados con la difusión y promoción del acceso abierto.
El Acceso Abierto en España ha recorrido un largo camino y con éxitos evidentes pero con demasiados obstáculos. A riesgo de simplificar demasiado, hemos pasado en España de abordar como dar soporte desde el punto de vista de la tecnología al Acceso Abierto, a tener que afrontar problemas menos de infraestructura y más de estrategia y política institucional con respecto al mismo. Son muchas las preguntas y dudas a las que aun hoy nos enfrentamos.
¿Cuál es y cuál debe ser el papel de las agencias financiadoras? ¿Resulta fácil para un investigador en España cumplir con los requisitos que se le imponen con respecto al Acceso Abierto? ¿Es posible apostar a nivel institucional por el Acceso Abierto y al mismo tiempo cumplir con las limitaciones que la vigente Ley de propiedad intelectual impone al acceso a través de las redes? ¿Es factible un acuerdo gana/gana entre bibliotecas y grandes editores académicos? ¿Cuál es el papel que deben jugar las bibliotecas? ¿Estamos preparados para afrontar los retos del Open Data?
REBIUN, sectorial de la CRUE dedicada a las bibliotecas universitarias, ya en 2004 se posicionó como defensora e impulsora del Acceso Abierto y, desde entonces, han sido numerosas las iniciativas y trabajos liderados por REBIUN en este sentido. En la actualidad, su vigente plan estratégico recoge objetivos estratégicos relacionados con la difusión y promoción del acceso abierto.
Parte II – SCOAP 3
• Em que ponto se encontra o projeto:
o Conceitos e objetivos
o Desenvolvimentos
o Resultados dos contactos com os Editores
o Próximos passos
• A participação Portuguesa
Understanding the Big Picture of e-ScienceAndrew Sallans
A. Sallans. "Understanding the Big Picture of e-Science." Presented at the 2011 eScience Bootcamp at the University of Virginia's Claude Moore Health Sciences Library. 4 March 2011
"What it is? How it works?" - Giorgio RossiSEENET-MTP
At the second CEI – SEENET- MTP Workshop “Promotion of physics in the CEI countries and Integrating Access to Research Infrastructures in Europe", Sofia, Bulgaria, 23-25 November 2014
In this decl from HiPEAC 2018 in Manchester, CERN's Maria Girona outlines computing challenges at the Large Hadron Collider (LHC).
"The Large Hadron Collider (LHC) is one of the largest and most complicated scientific apparata ever constructed. The detectors at the LHC ring see as many as 800 million proton-proton collisions per second. An event in 10 to the 11th power is new physics and there is a hierarchical series of steps to extract a tiny signal from an enormous background. High energy physics (HEP) has long been a driver in managing and processing enormous scientific datasets and the largest scale high throughput computing centers. HEP developed one of the first scientific computing grids that now regularly operates 750k processor cores and half of an exabyte of disk storage located on 5 continents including hundred of connected facilities. In this keynote, I will discuss the challenges of capturing, storing and processing the large volumes of data generated at CERN. I will also discuss how these challenges will evolve towards the High-Luminosity Large Hadron Collider (HL-LHC), the upgrade programme scheduled to begin taking data in 2026 and to run into the 2030s, generating some 30 times more data than the LHC has currently produced."
Watch the video: https://wp.me/p3RLHQ-i4s
Learn more: https://www.hipeac.net/2018/manchester/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Global Carbon Budget (http://www.globalcarbonproject.org/carbonbudget/)
Global carbon dioxide emissions from burning fossil fuels and cement production continue to grow at a high pace
* Global CO2 emissions from burning fossil fuel and cement production grew 2.3 per cent to a record high of 36 billion tonnes CO2 in 2013. Emissions from deforestation remain low in comparison, at 3.3 billion tonnes CO2 in 2013, accounting for 8% of total emissions.
* Fossil fuel CO2 emissions are projected to increase 2.5% in 2014, bringing the total CO2 emissions from all sources above 40 billion tonnes CO2.
* Fossil fuel emissions in the last ten years grew at 2.5% per year on average, lower than the growth rate in the 2000s (3.3%) but higher than the growth rate in the 1990s (1%). The declining growth rate in recent years is associated with lower GDP growth compared to the 2000s, particularly in China.
* Fossil fuel emissions track the high end of emissions scenarios used by the IPCC to project climate change, due to smaller improvements in carbon intensity of GDP than expected in most scenarios, and continued GDP growth.
* Given current projection of the World GDP, emissions are expected to grow further in the absence of more stringent mitigation.
* The largest emitters were China, USA, EU28 and India, together accounting for 58% of the global emissions and 80% of the growth in 2013 (top 20 emitters provided below). Key results for the top four emitters are:
- Chinese emissions grew at 4.2%, the lowest level since the 2007-2008 because of weaker economic growth and improvements in the carbon intensity of the economy.
- USA emission increased 2.9% in 2013 due to a rebound in coal consumption, reversing the declining trend in emissions since 2008.
- Indian emissions grew at 5.1% caused by robust economic growth and an increase in the carbon intensity of the economy.
- EU28 emissions decreased 1.8% on the back of a weak economy and emission decreases in some countries offsetting a return to coal led by Poland, Germany, Finland.
Going Smart and Deep on Materials at ALCFIan Foster
As we acquire large quantities of science data from experiment and simulation, it becomes possible to apply machine learning (ML) to those data to build predictive models and to guide future simulations and experiments. Leadership Computing Facilities need to make it easy to assemble such data collections and to develop, deploy, and run associated ML models.
We describe and demonstrate here how we are realizing such capabilities at the Argonne Leadership Computing Facility. In our demonstration, we use large quantities of time-dependent density functional theory (TDDFT) data on proton stopping power in various materials maintained in the Materials Data Facility (MDF) to build machine learning models, ranging from simple linear models to complex artificial neural networks, that are then employed to manage computations, improving their accuracy and reducing their cost. We highlight the use of new services being prototyped at Argonne to organize and assemble large data collections (MDF in this case), associate ML models with data collections, discover available data and models, work with these data and models in an interactive Jupyter environment, and launch new computations on ALCF resources.
Scott Edmunds talk at AIST: Overcoming the Reproducibility Crisis: and why I ...GigaScience, BGI Hong Kong
Scott Edmunds talk at the AIST Computational Biology Research Center in Tokyo: Overcoming the Reproducibility Crisis: and why I stopped worrying a learned to love open data (& methods), July 1st 2014
Thermatic simulation platform for nano materials design in kistKIST
This slides introduce the web based thematic materials design platform developed in the Computational Science Center at KIST. This platform is to provide an easy-to-use materials simulation environment where people can perform various advanced simulations using the workflows very similar to those of the real experiment. These platforms were designed to reduce the entrance barrier to the complicated materials simulation using the high performance cluster computer. We are anticipating that these platforms will become robust R&D tool to design novel (nano) materials.
Parte II – SCOAP 3
• Em que ponto se encontra o projeto:
o Conceitos e objetivos
o Desenvolvimentos
o Resultados dos contactos com os Editores
o Próximos passos
• A participação Portuguesa
Understanding the Big Picture of e-ScienceAndrew Sallans
A. Sallans. "Understanding the Big Picture of e-Science." Presented at the 2011 eScience Bootcamp at the University of Virginia's Claude Moore Health Sciences Library. 4 March 2011
"What it is? How it works?" - Giorgio RossiSEENET-MTP
At the second CEI – SEENET- MTP Workshop “Promotion of physics in the CEI countries and Integrating Access to Research Infrastructures in Europe", Sofia, Bulgaria, 23-25 November 2014
In this decl from HiPEAC 2018 in Manchester, CERN's Maria Girona outlines computing challenges at the Large Hadron Collider (LHC).
"The Large Hadron Collider (LHC) is one of the largest and most complicated scientific apparata ever constructed. The detectors at the LHC ring see as many as 800 million proton-proton collisions per second. An event in 10 to the 11th power is new physics and there is a hierarchical series of steps to extract a tiny signal from an enormous background. High energy physics (HEP) has long been a driver in managing and processing enormous scientific datasets and the largest scale high throughput computing centers. HEP developed one of the first scientific computing grids that now regularly operates 750k processor cores and half of an exabyte of disk storage located on 5 continents including hundred of connected facilities. In this keynote, I will discuss the challenges of capturing, storing and processing the large volumes of data generated at CERN. I will also discuss how these challenges will evolve towards the High-Luminosity Large Hadron Collider (HL-LHC), the upgrade programme scheduled to begin taking data in 2026 and to run into the 2030s, generating some 30 times more data than the LHC has currently produced."
Watch the video: https://wp.me/p3RLHQ-i4s
Learn more: https://www.hipeac.net/2018/manchester/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Global Carbon Budget (http://www.globalcarbonproject.org/carbonbudget/)
Global carbon dioxide emissions from burning fossil fuels and cement production continue to grow at a high pace
* Global CO2 emissions from burning fossil fuel and cement production grew 2.3 per cent to a record high of 36 billion tonnes CO2 in 2013. Emissions from deforestation remain low in comparison, at 3.3 billion tonnes CO2 in 2013, accounting for 8% of total emissions.
* Fossil fuel CO2 emissions are projected to increase 2.5% in 2014, bringing the total CO2 emissions from all sources above 40 billion tonnes CO2.
* Fossil fuel emissions in the last ten years grew at 2.5% per year on average, lower than the growth rate in the 2000s (3.3%) but higher than the growth rate in the 1990s (1%). The declining growth rate in recent years is associated with lower GDP growth compared to the 2000s, particularly in China.
* Fossil fuel emissions track the high end of emissions scenarios used by the IPCC to project climate change, due to smaller improvements in carbon intensity of GDP than expected in most scenarios, and continued GDP growth.
* Given current projection of the World GDP, emissions are expected to grow further in the absence of more stringent mitigation.
* The largest emitters were China, USA, EU28 and India, together accounting for 58% of the global emissions and 80% of the growth in 2013 (top 20 emitters provided below). Key results for the top four emitters are:
- Chinese emissions grew at 4.2%, the lowest level since the 2007-2008 because of weaker economic growth and improvements in the carbon intensity of the economy.
- USA emission increased 2.9% in 2013 due to a rebound in coal consumption, reversing the declining trend in emissions since 2008.
- Indian emissions grew at 5.1% caused by robust economic growth and an increase in the carbon intensity of the economy.
- EU28 emissions decreased 1.8% on the back of a weak economy and emission decreases in some countries offsetting a return to coal led by Poland, Germany, Finland.
Going Smart and Deep on Materials at ALCFIan Foster
As we acquire large quantities of science data from experiment and simulation, it becomes possible to apply machine learning (ML) to those data to build predictive models and to guide future simulations and experiments. Leadership Computing Facilities need to make it easy to assemble such data collections and to develop, deploy, and run associated ML models.
We describe and demonstrate here how we are realizing such capabilities at the Argonne Leadership Computing Facility. In our demonstration, we use large quantities of time-dependent density functional theory (TDDFT) data on proton stopping power in various materials maintained in the Materials Data Facility (MDF) to build machine learning models, ranging from simple linear models to complex artificial neural networks, that are then employed to manage computations, improving their accuracy and reducing their cost. We highlight the use of new services being prototyped at Argonne to organize and assemble large data collections (MDF in this case), associate ML models with data collections, discover available data and models, work with these data and models in an interactive Jupyter environment, and launch new computations on ALCF resources.
Scott Edmunds talk at AIST: Overcoming the Reproducibility Crisis: and why I ...GigaScience, BGI Hong Kong
Scott Edmunds talk at the AIST Computational Biology Research Center in Tokyo: Overcoming the Reproducibility Crisis: and why I stopped worrying a learned to love open data (& methods), July 1st 2014
Thermatic simulation platform for nano materials design in kistKIST
This slides introduce the web based thematic materials design platform developed in the Computational Science Center at KIST. This platform is to provide an easy-to-use materials simulation environment where people can perform various advanced simulations using the workflows very similar to those of the real experiment. These platforms were designed to reduce the entrance barrier to the complicated materials simulation using the high performance cluster computer. We are anticipating that these platforms will become robust R&D tool to design novel (nano) materials.
Similar to changes Open Science in High-Energy Physics - Salvatore Mele at OpenCon (20)
Regional Models for Open Research and Education in Latin America - Guillermin...Right to Research
This presentation by Guillermina Actis was part of OpenCon 2017's Regional Models for Open Research and Open Education panel.
Guillermina's presentation introduced the regional landscape of science and technology (S&T) communication, focusing on the alternatives that have been built in the last decades to increase local knowledge production’s visibility through regional indexing systems and gold open access (SciELO and RedALyC). The high-level authorities’ efforts for promoting green open access policies and building its infrastructures will also be addressed by presenting the regional initiative established in 2012, LAReferencia, which is a federated network of nine countries that aims at establishing agreements and providing guidelines for the creation of repositories to provide open access to publicly funded research, addressing S&T production as a public good.
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Aliya shared the successes and challenges of integrating openness in the Kyrgyz context through the implementation of Kyrgyz Mountains Environmental Education and Citizen Science project (KMEECS) and subsequent projects. KMEECS project applies a transdisciplinary approach to knowledge generation. It combines citizen science on the community level, environmental research and teacher training to foster awareness of and interaction with the local environment. At the same time it aims at generating locally relevant data on the environment in the mountains of Kyrgyzstan. The project pilots the introduction of low-cost environmental field courses on water monitoring in schools in mountain communities of Kyrgyzstan’s Naryn province. Based on a citizen science approach, students analyse and generate data on their water resources, which are fed into a network of open environmental data.
The African Story of Open Research - Nozuko Zukie HlwatikaRight to Research
This presentation by Nozuko Zukie Hlwatika was part of OpenCon 2017's Regional Models for Open Research and Open Education panel.
In her talk, Zukie covered Open Science, particularly Open Data in Africa. This was done from the perspective of the African Open Science Platform initiative. The status of Open Data in Africa was discussed through the lenses of policy, infrastructure, capacity building and incentives as per the initiatives focus areas. A list of countries actively involved in the advancement of Open Data was highlighted as well as those that need greater intervention. Possible Marginalised models for promoting open science in Africa were shared with the audience.
Assessing Current Practices in Academic Review, Promotion, and Tenure across ...Right to Research
This presentation by Carol Muñoz Nieves was part of OpenCon 2017's Next-Generation Initiatives Advancing Open panel.
The project “Assessing Current Practices in Review, Promotion and Tenure (RPT) Across the United States and Canada” departs from the belief that the adoption of open access and other open science principles among academics would be more widespread if ‘being open’ was explicitly rewarded in career progression of university professors. In the case of Canadian and American institutions of higher education, career progression generally takes the form of reviews of faculty’s work, promotions, and the achievement of tenure—a permanent, lifetime, position at an institution that cannot be terminated, except under crucial circumstances. The importance placed on the RPT process by all faculty suggests that changes in the policy documents and guidelines that inform these practices may provide the impetus for behavioral change, leading to broader interest and adoption of open access values. In the context of a broad and ongoing project, this presentation will focus in some of the results of the content analysis of 864 RPT guidelines and forms of 129 institutions across the US and Canada. These finding will hopefully provide baseline knowledge for thinking in actualized ways of effecting change towards a greater opening of research in North American universities.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
Working with data is a challenge for many organizations. Nonprofits in particular may need to collect and analyze sensitive, incomplete, and/or biased historical data about people. In this talk, Dr. Cori Faklaris of UNC Charlotte provides an overview of current AI capabilities and weaknesses to consider when integrating current AI technologies into the data workflow. The talk is organized around three takeaways: (1) For better or sometimes worse, AI provides you with “infinite interns.” (2) Give people permission & guardrails to learn what works with these “interns” and what doesn’t. (3) Create a roadmap for adding in more AI to assist nonprofit work, along with strategies for bias mitigation.
RFP for Reno's Community Assistance CenterThis Is Reno
Property appraisals completed in May for downtown Reno’s Community Assistance and Triage Centers (CAC) reveal that repairing the buildings to bring them back into service would cost an estimated $10.1 million—nearly four times the amount previously reported by city staff.
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The 2024 World Health Statistics edition reviews more than 50 health-related indicators from the Sustainable Development Goals and WHO’s Thirteenth General Programme of Work. It also highlights the findings from the Global health estimates 2021, notably the impact of the COVID-19 pandemic on life expectancy and healthy life expectancy.
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The potato is a starchy root vegetable native to the Americas that is consumed as a staple food in many parts of the world. Potatoes are tubers of the plant Solanum tuberosum, a perennial in the nightshade family Solanaceae. Wild potato species can be found from the southern United States to southern Chile
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Donate to charity during this holiday seasonSERUDS INDIA
For people who have money and are philanthropic, there are infinite opportunities to gift a needy person or child a Merry Christmas. Even if you are living on a shoestring budget, you will be surprised at how much you can do.
Donate Us
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#charityforchildren, #donateforchildren, #donateclothesforchildren, #donatebooksforchildren, #donatetoysforchildren, #sponsorforchildren, #sponsorclothesforchildren, #sponsorbooksforchildren, #sponsortoysforchildren, #seruds, #kurnool
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
Preliminary findings _OECD field visits to ten regions in the TSI EU mining r...OECDregions
Preliminary findings from OECD field visits for the project: Enhancing EU Mining Regional Ecosystems to Support the Green Transition and Secure Mineral Raw Materials Supply.
2017 Omnibus Rules on Appointments and Other Human Resource Actions, As Amended
changes Open Science in High-Energy Physics - Salvatore Mele at OpenCon
1. Change Alley: Open Science in High-Energy Physics
a.k.a. what’s impossible and what’s not
November 14th, 2015
OpenCon 2015 - Brussels
Salvatore.Mele@CERN.ch
18. 90% of HEP articles: 1-5 authors (mostly theorists)
19. Change Alley: Open Science in High-Energy Physics
a.k.a. what’s impossible and what’s not
November 14th, 2015
OpenCon 2015 - Brussels
Salvatore.Mele@CERN.ch
32. Change Alley: Open Science in High-Energy Physics
a.k.a. what’s impossible and what’s not
November 14th, 2015
OpenCon 2015 - Brussels
Salvatore.Mele@CERN.ch
57. Effects of global (green) Open Access in HEP
Open Access accelerates Science!
Scientific dialogue on subject repositories
% of HEP journals content is OA as preprin
Journals no longer have a communication role!
en Access subject repositories accelerate Scienc
HEP articles also available OA!
Years !
Citatations!
0 ! 1 ! 2 ! 3 ! 8 !-1 ! 4! 5 ! 6 ! 7 !
Only published !
Gentil-Beccot, Mele, Brooks arXiv:0906.5418
58.
59.
60. Is impossible to convert
existing journals to Open Access
limiting the use of fresh money,
and with no burden for researchers
79. Sweden 0,8%
Mexico 0,8%
Taiwan 0,8%
Portugal 0,9%
Netherlands 0,9%
Iran 0,9%
Israel 1,0%
Poland 1,3%
Switzerland 1,4%
Korea 1,8%
CERN 2,0%
India 2,6%
Brazil 2,6%
Canada 2,7%
Spain 2,9%
Russia 3,4%
France 3,8%
China 5,3%
United Kingdom 6,7%
Italy 6,9%
Japan 7,2%
Germany 9,1%
United States 24,9%
Other Countries 9,3%
Cern Scientific Information Service
Distribution of HEP publications, average 2005-2006
J. Krause et al. CERN-OPEN-2007-014
Estimated cost: 5M€/year fairly distributed:
each country contributes share of HEP publications
82. Publisher Journal
Nuclear Physics B
Physics Letters B
Advances in High Energy Physics
Chinese Physics C
Journal of Cosmology and Astroparticle Physics
New Journal of Physics
Acta Physica Polonica B
Progress of Theoretical and Experimental Physics
European Physical Journal C
Journal of High Energy Physics
84. Publisher Journal articles
Nuclear Physics B 605
Physics Letters B 1’659
Advances in High Energy Physics 312
Chinese Physics C 44
Journal of Cosmology and Astroparticle Physics 414
New Journal of Physics 17
Acta Physica Polonica B 33
Progress of Theoretical and Experimental Physics 148
European Physical Journal C 1’045
Journal of High Energy Physics 3’839
Articles as of November 13th 2015:
Share of all HEP
8’116
>50%
85. 3 times cheaper than hybrid APCs
~10 times cheaper for public purse
99.98% compliance
86. Publisher Journal APC
Nuclear Physics B $ 2’000
Physics Letters B $ 1’800
Advances in High Energy Physics $ 1’000
Chinese Physics C £ 1’000
Journal of Cosmology and Astroparticle Physics £ 1’400
New Journal of Physics £ 1’200
Acta Physica Polonica B € 500
Progress of Theoretical and Experimental Physics £ 1’000
European Physical Journal C € 1’500
Journal of High Energy Physics € 1’200
Average effective APC 2014:
(In 2014 SCOAP3 pays max 2011 #articles, rest free)
€ 1’042
87. SCOAP3 journals
APC (2014, in Euro)
4,000
3,500
3,000
2,500
2,000
1,500
1,000
500
Sources: Journal Cita?on Report, publishers’ websites, scoap3.org, webarchive.org
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Impact Factor (2012)
Chart: C. Romeu et al. (2014) The SCOAP3 ini1a1ve and the Open Access - Ar1cle-
Processing-Charge market: global partnership and compe11on improve value in the
dissemina1on of science DOI: 10.2314/CERN/C26P.W9DT
a) hUps://github.com/OpenAPC/openapc-de;
b) hUp://figshare.com/ar?cles/2015_Jan_June_UK_APC_data_combined/1509860
c) hUp://blog.wellcome.ac.uk/2015/03/03/the-reckoning-an-analysis-of-wellcome-
trust-open-access-spend-2013-14/
Average APC 2014 paid by
German universi?es: € 1,234a
SCOAP3 average effec?ve
APC 2014: € 1,042
Average APC 2015 paid by UK
higher educa?on inst: € 2,351b
Average APC 2013-2014 paid by
the Wellcome Trust: € 2,502c
Real costs to the system
(very liUle fresh money)
88. Partnership Dec 2013
Partners joined during 2014
Partners joining in 2015
Partnership today:
43 countries
+ 3 IGOs
Austria
Belgium
Canada
CERNa
China
Czech Republic
Denmark
Finland
France
Germany
Greece
Hong Kong
Hungary
IAEAb
NEW: Iceland
Israel
Italy
Japan
JINRc
Korea
Mexico
Netherlands
Norway
Poland
Portugal
Slovak Republic
South Africa
Spain
Sweden
Switzerland
NEW: Taiwan
Turkey
United Kingdom
United States of America
NEW: 12 additional U.S. Universities
a) European Organization for Nuclear Research, Geneva
b) International Atomic Energy Agency, Vienna
c) Joint Institute for Nuclear Research, Dubna representing 12 of its member states
46 countries, 3 IGO, 3’000 libraries today, and growing
89. Research intensive countries supporting SCOAP3
Territory size shows the proportion of all scientific papers published in 2001 written by authors living there
http://www.worldmapper.org/display.php?selected=205
93. Piled Higher and Deeper by Jorge Cham www.phdcomics.com
title: "Sharing" - originally published 9/4/2015
phdcomics.com/comics/archive.php?comicid=1818
94. Piled Higher and Deeper by Jorge Cham www.phdcomics.com
title: "Sharing" - originally published 9/4/2015
data
95. Open Data in High-Energy Physics
is impossible
(too complex, large, dangerous, un-understandable, useless…)
125. width.
Acknowledgments
AF thanks Dean Carmi, Erik Kuflik, Francesco Riva, Alfredo Urbano, Tomer Volansky and
Jure Zupan for collaboration on closely related projects. AF also thanks the organizers of the
conference Windows on the Universe for the invitation and support.
References
1. G. Aad et al. [ATLAS Collaboration], Phys. Lett. B 716, 1 (2012) [arXiv:1207.7214
[hep-ex]]. S. Chatrchyan et al. [CMS Collaboration], Phys. Lett. B 716, 30 (2012)
[arXiv:1207.7235 [hep-ex]].
2. B. Grzadkowski et al. , JHEP 1010, 085 (2010) [arXiv:1008.4884 [hep-ph]],
3. R. Contino et al. JHEP 1307 (2013) 035 [arXiv:1303.3876 [hep-ph]].
4. A. Falkowski, F. Riva and A. Urbano, arXiv:1303.1812 [hep-ph].
5. G. Aad et al. [ATLAS Collaboration], Phys. Lett. B 726 (2013) 88 [arXiv:1307.1427
[hep-ex]].
6. ATLAS Collaboration, “Data from Figure 7 from: Measurements of Higgs boson produc-
tion and couplings in diboson final states with the ATLAS detector at the LHC: H ! ,”
http://doi.org/10.7484/INSPIREHEP.DATA.A78C.HK44
7. ATLAS Collaboration, “Data from Figure 7 from: Measurements of Higgs boson pro-
duction and couplings in diboson final states with the ATLAS detector at the LHC:
H ! ZZ⇤ ! 4`,” http://doi.org/10.7484/INSPIREHEP.DATA.RF5P.6M3K
8. ATLAS Collaboration, “Data from Figure 7 from: Measurements of Higgs boson pro-
duction and couplings in diboson final states with the ATLAS detector at the LHC:
H ! WW⇤ ! `⌫`⌫,” http://doi.org/10.7484/INSPIREHEP.DATA.26B4.TY5F
9. ATLAS Collaboration, ATLAS-CONF-2013-034.
10. ATLAS Collaboration, ATLAS-CONF-2013-079.
11. ATLAS Collaboration, ATLAS-CONF-2012-135.
12. ATLAS Collaboration, ATLAS-CONF-2013-080.
13. ATLAS Collaboration, ATLAS-CONF-2013-009.
14. ATLAS Collaboration, ATLAS-CONF-2013-010.
15. CMS Collaboration, CMS-HIG-13-001.
133. CMS data preservation, re-use and open access policy
CMS data are unique and are the result of vast and long-term moral, human and financial investment by
the international community. There is unique scientific opportunity in re-using these data, at different
level of abstraction and at different points in time1
. This opportunity calls for our collective responsibility,
and poses unprecedented challenges as no data sample of this complexity and value has ever been
preserved or made available for later re-use.
The CMS collaboration is committed to preserve its data, at different levels of complexity, and to allow
their re-use by a wide community including: collaboration members long after the data are taken,
experimental and theoretical HEP scientists who were not members of the collaboration, educational
and outreach initiatives, and citizen scientists in the general public.
CMS upholds the principle that open access to the data will, in the long term, allow the maximum
realization of their scientific potential. To that extent, CMS will provide open access to its data after a
suitable but relatively short embargo period, allowing CMS collaborators to fully exploit their scientific
potential.
This policy describes the CMS principles of data preservation, re-use and open access, as well as the
relevant actors in all these tasks and their roles and responsibilities. CMS understands that in order to
fully exploit all these re-use opportunities, immediate and continued resources are needed. The level of
support that CMS will be able to provide to external users depends on the available funding. This policy
addresses the moral responsibility of CMS for its data, as well as the increasing concern of fundingDOI: 10.7483/OPENDATA.CMS.UDBF.JKR9