This document discusses research data management (RDM) and the open data pilot program in Horizon 2020. It provides information on why RDM is important, noting key stakeholders that expect data sharing, and how RDM enables data re-use and integrity. The Horizon 2020 open data pilot program is described, including the seven research areas included in the pilot and funder requirements for a Data Management Plan and depositing data in repositories. Guidance and support resources for participating in the open data pilot are also listed.
Overview of the UKRDDS pilot project at Univwersity of Edinburgh employing PhD interns to validate metadata about research data created by University of Edinburgh researchers and held in local RDM services solutions. This was presented at IASSIST in June 2016, Bergen, Norway.
Good (enough) research data management practicesLeon Osinski
Slides of a lecture on research data management (RDM), given for 3rd year students (Eindhoven University of Technology, major Psychology & Technology), as part of the course 0HV90 Quantitative Research. At the end of the slides a handy summary 'Research data management basics in a nutshell' is added.
“Who does forever?” : A Registry of Keepers
Who is looking after e-journals with archival intent?
2. Dr Who and the Scholarly Record
Time Travel for Scholarly Web
Evidence from the Keepers Registry
Statistics on who is looking after what, & what is at risk
Overview of the UKRDDS pilot project at Univwersity of Edinburgh employing PhD interns to validate metadata about research data created by University of Edinburgh researchers and held in local RDM services solutions. This was presented at IASSIST in June 2016, Bergen, Norway.
Good (enough) research data management practicesLeon Osinski
Slides of a lecture on research data management (RDM), given for 3rd year students (Eindhoven University of Technology, major Psychology & Technology), as part of the course 0HV90 Quantitative Research. At the end of the slides a handy summary 'Research data management basics in a nutshell' is added.
“Who does forever?” : A Registry of Keepers
Who is looking after e-journals with archival intent?
2. Dr Who and the Scholarly Record
Time Travel for Scholarly Web
Evidence from the Keepers Registry
Statistics on who is looking after what, & what is at risk
Managing and Sharing Research Data - Workshop at UiO - December 04, 2017Michel Heeremans
These slides were presented during a workshop on Research Data Management, given at the University of Oslo, Department of Geosciences on December 04, 2017
Overview of the problems of Reference Rot and what actions to take to ensure the persistence of the digital scholarly record. Presented by Peter Burnhill with Adam Rusbridge & Muriel Mewissen, EDINA, University of Edinburgh, UK; Herbert Van De Sompel, Los Alamos National Laboratory Research Library, USA; Gaelle Bequet, ISSN International Centre, France; at Towards Open Science, LIBER, London, June 2015.
Data Management in the context of Open Science.
Because open access become mandatory for publications and project-funded research data, it is the responsibility of each researcher to be informed and then trained in new practices.
Open Data and Cross Disciplinary Research - EUDAT Summer School (Brian Matthe...EUDAT
The European Open Science Cloud (EOSC) has become a driving force behind the current evolution of e-Infrastructure to support research. The EOSC offers the vision of an integrated ecosystem of data, services and expertise providing a common platform for open cross-community research in Europe and beyond. In this session, I shall consider the aims of the EOSC and discuss some the opportunities it offers, and barriers it needs to overcome to realise the vision. I shall introduce the EOSC-Pilot project which is aiming to pave the way towards the EOSC by exploring the opportunities and barriers, and proposing how the EOSC should evolve, both technically, including its architecture, and organisationally, including how it should be managed. Participants will be invited to consider what the issues of the EOSC are and how it might affect their own domain.
Visit: https://www.eudat.eu/eudat-summer-school
Presentation at "Data in libraries: the big picture" IFLA Satellite meeting, https://www.lib.uchicago.edu/conferences/ifla2016-data-in-libraries/agenda/
August 10, 2016, Chicago, IL
Nettie Lagace, NISO
Presentation given by Peter Burnhill of EDINA, at the Digital Preservation Coalition's "Trust and E-journals" event on 31 January 2012 at the Wellcome Collection Conference Centre, Euston Road, London, UK.
A basic course on Research data management, part 1: what and whyLeon Osinski
A basic course on research data management for PhD students. The course consists of 4 parts. The course was given at Eindhoven University of Technology (TUe), 24-01-2017
A basic course on Research data management, part 4: caring for your data, or ...Leon Osinski
A basic course on research data management for PhD students. The course consists of 4 parts. The course was given at Eindhoven University of Technology (TUe), 24-01-2017
Managing and Sharing Research Data - Workshop at UiO - December 04, 2017Michel Heeremans
These slides were presented during a workshop on Research Data Management, given at the University of Oslo, Department of Geosciences on December 04, 2017
Overview of the problems of Reference Rot and what actions to take to ensure the persistence of the digital scholarly record. Presented by Peter Burnhill with Adam Rusbridge & Muriel Mewissen, EDINA, University of Edinburgh, UK; Herbert Van De Sompel, Los Alamos National Laboratory Research Library, USA; Gaelle Bequet, ISSN International Centre, France; at Towards Open Science, LIBER, London, June 2015.
Data Management in the context of Open Science.
Because open access become mandatory for publications and project-funded research data, it is the responsibility of each researcher to be informed and then trained in new practices.
Open Data and Cross Disciplinary Research - EUDAT Summer School (Brian Matthe...EUDAT
The European Open Science Cloud (EOSC) has become a driving force behind the current evolution of e-Infrastructure to support research. The EOSC offers the vision of an integrated ecosystem of data, services and expertise providing a common platform for open cross-community research in Europe and beyond. In this session, I shall consider the aims of the EOSC and discuss some the opportunities it offers, and barriers it needs to overcome to realise the vision. I shall introduce the EOSC-Pilot project which is aiming to pave the way towards the EOSC by exploring the opportunities and barriers, and proposing how the EOSC should evolve, both technically, including its architecture, and organisationally, including how it should be managed. Participants will be invited to consider what the issues of the EOSC are and how it might affect their own domain.
Visit: https://www.eudat.eu/eudat-summer-school
Presentation at "Data in libraries: the big picture" IFLA Satellite meeting, https://www.lib.uchicago.edu/conferences/ifla2016-data-in-libraries/agenda/
August 10, 2016, Chicago, IL
Nettie Lagace, NISO
Presentation given by Peter Burnhill of EDINA, at the Digital Preservation Coalition's "Trust and E-journals" event on 31 January 2012 at the Wellcome Collection Conference Centre, Euston Road, London, UK.
A basic course on Research data management, part 1: what and whyLeon Osinski
A basic course on research data management for PhD students. The course consists of 4 parts. The course was given at Eindhoven University of Technology (TUe), 24-01-2017
A basic course on Research data management, part 4: caring for your data, or ...Leon Osinski
A basic course on research data management for PhD students. The course consists of 4 parts. The course was given at Eindhoven University of Technology (TUe), 24-01-2017
KINH DOANH ĐÃ LÂU, NHƯNG THƯƠNG HIỆU VẪN CHƯA PHÁT TRIỂN, BẠN NÊN THAY ĐỔI CH...Mỹ Hoàng
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- Bạn có ý tưởng nhưng chưa có kế hoạch vận hành và truyền thông cụ thể hoặc chưa có kinh nghiệm về quản lý doanh nghiệp.
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- Bạn muốn phát triển thương hiệu, đẩy nhanh doanh số bán hàng....nhưng chưa có định hướng cụ thể,
Công ty CP truyền thông DREAM PARADISE MEDIA - Đơn vị truyền thông – Marketing số 1 tại Việt Nam ra đời với sứ mệnh hiện thực hóa ước mơ và nâng tầm thương hiệu của các doanh nghiệp. Với những chuyên gia và đội ngũ nhân viên kinh nghiệm và sáng tạo, DREAM PARADISE MEDIA tự tin sẽ mang đến cho bạn những giải pháp và chiến lược Marketing – Truyền thông tối ưu nhất, vừa tầm với tiềm lực tài chính của bạn nhất.
Từ khi ra đời DREAM PARADISE MEDIA đã và đang được sự tín nhiệm của các đối tác với các dịch vụ:
• Xây dựng trọn gói Truyền Thông cho Startup – Tiết Kiệm chi phí
• Phát triển hệ thống phân phối cho doanh nghiệp
• Quảng cáo & lập kế hoạch truyền thông tất cả các kênh Digital Marketing
• Cung cấp khách hàng bất động sản tiềm năng theo dự án
Mapa concenceptural donde se dan breves referencias sobre lo que es el conocimiento y el metodo cientifico, junto con las definiciones de ciencia e investigacion cientifica.
A presentation given on the Horizon 2020 open data pilot as part of a series of OpenAIRE webinars for Open Access week 2014 - http://www.fosteropenscience.eu/event/openaire-webinars-during-oa-week-2014
The Horizon 2020 Open Data Pilot - OpenAIRE webinar (Oct. 21 2014) by Sarah J...OpenAIRE
Sarah Jones (HATII, Digital Curation Center) will provide more information on the Open Research Data Pilot in H2020: who should participate and how to comply (in collaboration with FOSTER)
Date: Tuesday, October 21 2014
Presentation given to EC project officers as part of workshops run by the FOSTER (foster open science) project. The presentation covers the Horizon 2020 open data pilot.
Presentación de Joy Davidson, Digital Curation Centre (UK) en FOSTER event: Data Management Plan and Social Impact of Research. Universitat Jaume I, 27 mayo 2016
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 14, 2016...EUDAT
| www.eudat.eu | 2nd Session: July 14, 2016.
In this webinar, Sarah Jones (DCC) and Marjan Grootveld (DANS) talked through the aspects that Horizon 2020 requires from a DMP. They discussed examples from real DMPs and also touched upon the Software Management Plan, which for some projects can be a sensible addition
Webinar: Data management and the Open Research Data Pilot in Horizon 2020OpenAccessBelgium
This webinar provides information about strategies for successful Research Data Management, resources to help manage data effectively, choosing where to store and deposit data, the EC H2020 Open Data Pilot and the basics of data management.
At the end of the session participants will be able to:
- Understand the basic principles and importance of RDM
- Set clear goals regarding data curation, preservation and sharing
- Comply with the requirements of the Research Data Pilot
- Draft a Data Management Plan
- Identify RDM resources and tools
Webinar: Data management and the Open Research Data Pilot in Horizon 2020 OpenAIRE
This webinar provides information about strategies for successful Research Data Management, resources to help manage data effectively, choosing where to store and deposit data, the EC H2020 Open Data Pilot and the basics of data management.
At the end of the session participants will be able to:
- Understand the basic principles and importance of RDM
- Set clear goals regarding data curation, preservation and sharing
- Comply with the requirements of the Research Data Pilot
- Draft a Data Management Plan
- Identify RDM resources and tools
PROOF course Writing articles and abstracts in English, part: Copyright in ac...Leon Osinski
For this presentation students need to have seen 5 web lectures on copyright. During the presentation, the knowledge gained by the students by looking at the web lectures will be tested on the basis of a number of practical questions.
Research data management: course OGO Quantitative research (21-11-2018)Leon Osinski
Slides underlying a presentation on research data management for course OGO Quantitative research (Eindhoven University of Technology, Eindhoven, the Netherlands)
Presentation on the suitability of Creative Commons licenses for research data, held at the meeting of UKB working group Research Data on 18 April 2018 by Leon Osinski, Eindhoven University of Technology
A basic course on Research data management: part 1 - part 4Leon Osinski
Slides belonging to a basic course on research data management. The course consists of 4 parts:
Part 1: what and why
1.1 data management plans
Part 2: protecting and organizing your data
2.1 data safety and data security
2.2 file naming, organizing data (TIER documentation protocol)
Part 3: sharing your data
3.1 via collaboration platforms (during research)
3.2 via data archives (after your research)
Part 4: caring for your data, or making data usable
4.1 tidy data
4.2 documentation/metadata
4.3 licenses
4.4 open data formats
A basic course on Research data management, part 3: sharing your dataLeon Osinski
A basic course on research data management for PhD students. The course consists of 4 parts. The course was given at Eindhoven University of Technology (TUe), 24-01-2017
A basic course on Reseach data management, part 2: protecting and organizing ...Leon Osinski
A basic course on research data management for PhD students. The course consists of 4 parts. The course was given at Eindhoven University of Technology (TUe), 24-01-2017
Copyright and citation issues : PROOF course Writing articles and abstracts /...Leon Osinski
As an author of scholarly papers, you will use in your paper materials (text fragments, picture, tables, figures) of other people. In most cases this material is copyright-protected which means that in most cases, not always, you have to ask permission to re-use that material and to attribute the source of the material. This is also the first topic of this lecture: you as a user of copyright-protected material.
In the second place, when you’re done writing you want to publish your paper in a journal. In most cases, not always, this goes with a transfer of the copyright that you initially own to a publisher. Transfer of copyright has some consequences and this is the second topic of this presentation: you as a producer of copyright-protected material.
Onderzoeksdata-bepalingen van financiers van universitair onderzoek in NL: Ma...Leon Osinski
Onderzoeksdata-bepalingen van financiers van universitair onderzoek in NL : presentatie Master Class Research Data Management in Nederland, Maastricht, 3/4 april 2014.
UKB Werkgroep Datamanagement,Voorwaarden van Financiers.
Maarten van Bentum, Henk van den Hoogen, Leon Osinski
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Horizon 2020 and research data : info meeting Horizon 2020 @ TUe, 07-10-2014 / Leon Osinski
1. Horizon 2020 and research data
Info meeting Horizon 2020 @ TU/e
TU/e, 07-10-2014
l.osinski@tue.nl, TU/e IEC/Library
Available under CC BY license, which permits
unrestricted use, distribution, and reproduction in
any medium, provided the original author and
source are credited
2. What is research data management [RDM]?
RDM: caring* for your data with the purpose of protecting their
mere existence and making them available to others
Data sharing implies research data management during your
research, or: RDM prepares the way for sharing your data after
the project
Source: Research Data
Netherlands / Marina Noordegraaf
*Goodman A, et al. (2014) Ten simple rules for the care and feeding of scientific data. PLoS Comput Biol 10(4):
e1003542. doi:10.1371/journal.pcbi.1003542
3. Why research data management? [1]
Because this is expected by:
Funders [NWO, ZonMW, EC]
Journals [here, here, here, here]
Professional organizations: VSNU code of conduct, KNAW
Research evaluators: VSNU SEP protocol 2015-2021
Universities: Radboud, TU/e (?)
Source: Research Data Netherlands /
Marina Noordegraaf
4. Why research data management? [2]
Scientific integrity
Re-use of research data
Source: Research Data Netherlands /
Marina Noordegraaf
5. Horizon 2020 #1
Model grant agreement
“… the beneficiary must aim to deposit at the same time the research data
needed to validate the results presented in the deposited scientific
publications, ideally into a data repository.” [ Model grant agreement, p.
58, italics mine ]
“… the notion of ‘publication’ increasingly includes the data underpinning
the publication and results presented (…) This data is needed to validate
the results presented (…) Beneficiaries are also invited to grant open access
to this data, but there is no obligation to do so.” [ Guidelines on open
access, p. 7, italics mine ]
6. Horizon 2020 #2
Open research data pilot : scope
7 areas of Horizon 2020 participate in the pilot:
Future and emerging technologies
Research infrastructures – part e-infrastructures
Leadership in enabling and industrial technologies – Information and
communication technologies
Societal challenge: ‘Secure, clean and efficient energy’ – part Smart cities and
communities
Societal challenge: ‘Climate, action, environment, resource efficiency and raw
materials’ – except raw materials
Societal challenge: ‘Europe in a changing world – inclusive, innovative and reflective
societies’
Science with and for society
Projects from other areas may join the pilot on a voluntary basis
7. Horizon 2020 #2
Open research data pilot : additional information #1
“Projects may opt out of the pilot to allow for the protection of intellectual
property or personal data; in view of security concerns; (…)”
“… aims to improve and maximise access to and re-use of research data
generated by projects for the benefit of society and the economy.”
“Regarding the digital research data (…), the beneficiaries must: deposit in a
research data repository and take measures to make it possible (…) to
access, mine, exploit, reproduce, and disseminate – free of charge for any
user (…) the data …”
Two types of data: data underlying publications and other data as indicated
by researchers in DMPs [raw data or curated data not directly attributable
to a publication] [ italics mine ]
8. Horizon 2020 #2
Open research data pilot : additional information #2
“At the proposal submission stage, the information provided is not part of
the evaluation.”
“As an exception, the beneficiaries do not have to ensure open access to
specific parts of their research data…”
“Costs relating to the implementation of the pilot will be eligible.”
“Participating projects will be required to develop a Data Management Plan
(DMP), in which they will specify what data will be open.” [ italics mine ]
9. Horizon 2020 #2
Open research data pilot: data management plan [DMP] #1
The DMP should address:
1. Data set reference and
name
2. Data set description
3. Standards and metadata
4. Data sharing
5. Archiving and preservation
Research data should be:
1. Discoverable
2. Accessible
3. Assessable and intelligible
4. Useable beyond the original
purpose
5. Interoperable
DMP template by 3TU.Datacentrum
10. Horizon 2020 #2
Open research data pilot: data management plan [DMP] #2
DMP is required
DMP is deliverable 6 months after project starts
DMP is not part of the project evaluation
Take out so far (out of 3054 proposals)
opt out: 24% in core areas
opt in: 27% in other areas
11. Horizon 2020
Support
Data Coach [website]
Data librarian : Leon Osinski, Merle Rodenburg
Video Talk Dr Celina Ramjoué
Source: Research Data Netherlands /
Marina Noordegraaf
12. URL’s of mentioned webpages
(in order of appearance)
1. Website IEC/Library [TU/e]: http://w3.tue.nl/nl/diensten/bib/
2. NWO, presentation Franciska de Jong, 10-09-2014:
https://wiki.surfnet.nl/download/attachments/46794177/NWODatamanagement_sep2014_FJ.pdf?version=1&modificationDate=1410789907398&a
pi=v2
3. ZonMW: http://www.zonmw.nl/nl/programmas/programma-detail/toegang-tot-data-ttdata/algemeen/
4. Data availability policy of journals: General: http://www.nap.edu/openbook.php?record_id=10613&page=33 ; American Economic Review:
https://www.aeaweb.org/aer/data.php ; PLOS: http://www.plos.org/plos-data-policy-faq/ ; Nature:
http://www.nature.com/authors/policies/availability.html
5. VSNU Code of Conduct:
http://www.vsnu.nl/files/documenten/Feiten_en_Cijfers/The_Netherlands_Code_of_Conduct_for_Scientific_Practice_2012.pdf
6. Responsible research data management [KNAW]: https://www.knaw.nl/en/news/publications/responsible-research-data-management-and-the-prevention-
of-scientific-misconduct?set_language=en
7. VSNU SEP protocol 2015-2021: http://www.vsnu.nl/files/documenten/Nieuwsberichten/SEP_2015-2021.pdf
8. Radboud University Research data policy: http://www.ru.nl/ubn/diensten/onderzoeksdata/vm/beleid-radboud/
9. TU/e Code of scientific conduct: http://www.tue.nl/en/university/about-the-university/integrity/scientific-integrity/
10. Horizon 2020 Participant portal: http://ec.europa.eu/research/participants/portal/desktop/en/funding/reference_docs.html
11. Horizon 2020 Model grant agreement: http://ec.europa.eu/research/participants/portal/desktop/en/funding/reference_docs.html
12. Guidelines on data management in Horizon 2020 [Open research data pilot]:
http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf
13. Guidelines on open access to scientific publications and research data in Horizon 2020:
http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-pilot-guide_en.pdf
14. DMP Template 3TU.Datacentrum: http://datacentrum.3tu.nl/en/what-we-offer/data-management-plan/
15. Take out Horizon 2020: http://tulibrarian.weblog.tudelft.nl/2014/09/27/international-data-week/
16. Data Coach [TU/e]: http://www.tue.nl/datacoach
17. Data librarian: http://www.tue.nl/en/employee/ep/e/d/ep-uid/19880267/
18. Video Talk Dr Celina Ramjoué: http://youtu.be/kd3mF3DsP5Y
Editor's Notes
Introducing myself and IEC/Library
This is the main point I would like to make: RDM is prepatory to sharing your data!
In essence: RDM is about scientific collaboration. Sharing data and workflows enables collaboration. In that way it also improves your research efficiency.
NWO:
“Bij databestanden worden NWO en de kennisinstelling waar het onderzoek is uitgevoerd, tezamen beschouwd als de ‘producent van de databank’”
“NWO kan ter bevordering van de kennisoverdracht van onderzoeksresultaten nadere voorwaarden stellen aan de auteursrechten en de extractierechten op databanken die in het kader van het onderzoek worden gecreëerd. Databanken met bijbehorende toelichting worden in elk geval op door NWO aan te geven wijze beschikbaar gesteld voor gebruik ten behoeve van verder wetenschappelijk onderzoek. De binnen een onderzoeksproject verzamelde gegevens dienen daarom goed en toegankelijk te worden gedocumenteerd en opgeslagen.”
ZonMW:
ZonMw en subsidieontvanger zijn tezamen ‘producent van de databank’
Subsidieaanvrager moet laten zien in hoeverre het onderzoek met bestaande data kan worden gedaan, door uitbreiding van bestaande data of met een nieuwe dataverzameling
Subsidieontvanger stelt een datamanagementplan op waarin aangegeven wordt hoe, wanneer en de wijze waarop data beschikbaar worden gesteld
Data dienen volgens de geldende standaarden te worden gedocumenteerd en opgeslagen
Financiële afrekening is afhankelijk van het nakomen van de afspraken over datamanagement
EC:
“… the beneficiary must aim to deposit at the same time the research data needed to validate the results presented in the deposited scientific publications, ideally into a data repository.” [ Model grant agreement, p. 58, italics mine ]
“… the notion of ‘publication’ increasingly includes the data underpinning the publication and results presented (…) This data is needed to validate the results presented (…) Beneficiaries are also invited to grant open access to this data, but there is no obligation to do so.” [ Guidelines on open access, p. 7]
Standard Evaluation Protocol 2015-2021:
“the assessment committee considers the research unit’s policy on research integrity (…) It is interested in how the unit deals with research data, data management and integrity…” zorgvuldig datamanagement ten dienste van wetenschappelijke integriteit
Why these requirements from funders, journals and professional organizations?
For the sake of scientific integrity implies research results are verifiable implies sharing data, i.e. making data available to others which in turn means or implies data management ;
For the sake of re-use of data by others ; your data can be valuable to others or your data are unique and therefore valuable
That you must share your data doesn’t always or necessarily means that you have to share your data in open access. However, it means at least that you should be able to hand over your data when being asked for. If not sloppy science. Computer crashes etc. are not accepted as reason not be able to hand over your data.
See also: Schuyt-report KNAW, Responsible research data management and the prevention of scientific misconduct (2013)
https://www.knaw.nl/en/news/publications/responsible-research-data-management-and-the-prevention-of-scientific-misconduct?set_language=en
Vanwaar deze eisen van onderzoeksfinanciers, tijdschriften, beroepsorganisaties en universiteiten?
Omwille van wetenschappelijke integriteit impliceert dat onderzoeksresultaten verifieerbaar / repliceerbaar zijn impliceert het delen van onderzoeksdata, dit is beschikbaar stellen aan anderen en dat impliceert op zijn beurt datamanagement ;
Omwille van het hergebruik van onderzoeksdata door anderen ; jouw data kunnen waardevol zijn voor anderen of je data zijn uniek en daarom waardevol
Data delen betekent niet altijd of automatisch dat je je onderzoeksdata open access beschikbaar moet stellen. Het betekent op zijn minst echter dat je je data kunt overhandigen aan iemand anders als die er om vraagt. Als je dat niet kunt, onzorgvuldig onderzoek, ‘sloppy science’. Computer crashes etc. worden niet meer geaccepteerd als reden om data niet te kunnen overhandigen.
Betrouwbaarhied: fraude gevallen zijn funest voor het (maatschappelijk) vertrouwen in wetenschap
You can be sure that these requirements will be taken over – more or less – by other funders like NWO.
Must aim = inspanningsverplichting ; not mandatory
Horizon 2020: budget about 70 miljard euro. Achtse kaderprogramma voor onderzoek, 2014-2020
http://ec.europa.eu/research/participants/portal/desktop/en/funding/reference_docs.html#h2020-mga-gga [ Participant portal Horizon 2020 ]
http://ec.europa.eu/research/participants/data/ref/h2020/mga/gga/h2020-mga-gga-mono_en.pdf [ Model Grant Agreement Horizon 2020 ]
http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-pilot-guide_en.pdf [ = Guidelines on open access…]
Het gaat om onderzoeksdata die aan de resultaten van het onderzoek ten grondslag liggen
En omwille van de wetenschappelijke integriteit (validatie, verificatie onderzoeksresultaten)
Als je aanvraag valt binnen deze gebieden, moet je meedoen met de pilot. Je kunt echter redenen hebben (tijdens de aanvraagfase al) om niet mee te doen (opting out). Deze redenen liggen op het vlak van vertrouwelijkheid van de gegevens, bescherming intellectuele eigendom, etc. Opting-out heeft geen invloed op al of niet toekenning van de grant.
Als het project loopt, kun je nog ervoor kiezen om bepaalde data sets uit te sluiten van open access.
Gebieden relevant voor TUe?
http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf [Guidelines on data management in Horizon 2020 ]
Open research data pilot: ook hergebruik van data ; vooral ingevuld door een DMP [ DMP as an early deliverable within the first six months of the project ]
Scope: 7 areas of Horizon 2020 ; €3 billion [ 20% of the overall Horizon 2020 budget 2014-2015 ]
At the proposal submission stage, the information provided is not part of the evaluation.
Costs relating to the implementation of the pilot will be eligible
Guidelines on open access to scientific publications and research data in Horizon 2020 (version 1.0, 11 December 2013)
Guidelines on data management in Horizon 2020 (version 1.0, 11 december 2013): open research data pilot
Open research data pilot / Data management plan [ DMP ]
What types of data will the project generate/collect?
What standards will be used?
How will this data be exploited and/or shared/made accessible for verification and re-use? If data cannot be made available explain why
How will this data be curated and preserved?
‘Take measures’ = best effort, inspanningsverplichting
http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf [Guidelines on data management in Horizon 2020 ]
Open research data pilot: ook hergebruik van data ; vooral ingevuld door een DMP [ DMP as an early deliverable within the first six months of the project ]
Scope: 7 areas of Horizon 2020 ; €3 billion [ 20% of the overall Horizon 2020 budget 2014-2015 ]
Future and emerging technologies
Research infrastructures – part e-infrastructures
Leadership in enabling and industrial technologies – Information and communication technolgies
Societal challenge: ‘Secure, clean and efficient energy’ – part Smart cities and communities
Societal challenge: ‘Climate, action, environment, resource efficiency and raw materials’ – except raw materials
Societal challenge: ‘Europe in a changing world – inclusive, innovative and reflective societies’
Science with and for society
At the proposal submission stage, the information provided is not part of the evaluation.
Costs relating to the implementation of the pilot will be eligible
3054 proposals: opt out core areas = 24% ; opt in in other areas = 27%
Guidelines on open access to scientific publications and research data in Horizon 2020 (version 1.0, 11 December 2013)
Guidelines on data management in Horizon 2020 (version 1.0, 11 december 2013): open research data pilot
Open research data pilot / Data management plan [ DMP ]
What types of data will the project generate/collect?
What standards will be used?
How will this data be exploited and/or shared/made accessible for verification and re-use? If data cannot be made available explain why
How will this data be curated and preserved?
‘Take measures’ = best effort, inspanningsverplichting
http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf [Guidelines on data management in Horizon 2020 ]
Open research data pilot: ook hergebruik van data ; vooral ingevuld door een DMP [ DMP as an early deliverable within the first six months of the project ]
Scope: 7 areas of Horizon 2020 ; €3 billion [ 20% of the overall Horizon 2020 budget 2014-2015 ]
Future and emerging technologies
Research infrastructures – part e-infrastructures
Leadership in enabling and industrial technologies – Information and communication technolgies
Societal challenge: ‘Secure, clean and efficient energy’ – part Smart cities and communities
Societal challenge: ‘Climate, action, environment, resource efficiency and raw materials’ – except raw materials
Societal challenge: ‘Europe in a changing world – inclusive, innovative and reflective societies’
Science with and for society
At the proposal submission stage, the information provided is not part of the evaluation.
Costs relating to the implementation of the pilot will be eligible
Guidelines on open access to scientific publications and research data in Horizon 2020 (version 1.0, 11 December 2013)
Guidelines on data management in Horizon 2020 (version 1.0, 11 december 2013): open research data pilot
Open research data pilot / Data management plan [ DMP ]
What types of data will the project generate/collect?
What standards will be used?
How will this data be exploited and/or shared/made accessible for verification and re-use? If data cannot be made available explain why
How will this data be curated and preserved?