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Facilitate Open Science Training for European Research
Open Access and Open Data:
what do I need to know (and do)?
Martin ...
The Digital Curation Centre
• The UK’s centre of expertise in digital preservation and
data management, established 2004
•...
Overview
1. Background and context
2. Open Access + Open Data = Open Science (Research)
3. Benefits of Open Science
4. Ope...
Overview
1. Background and context
2. Open Access + Open Data = Open Science (Research)
3. Benefits of Open Science
4. Ope...
Context
• Openness in research is situated within a context of ever
greater transparency, accessibility and accountability...
The old way of doing research
1.  Researcher  collects  data  (information)
2.  Researcher  interprets/synthesises  data
3...
Without intervention, data + time = no data
Vines et al. “examined the availability of data from 516 studies between 2 and...
The new way of doing research
Plan
Collect
Assure
Describe
Preserve
Discover
Integrate
Analyze
DEPOSIT
…and	
  
RE-­‐USE
T...
What do we mean by ‘data’?
• Definitions vary from discipline to discipline, and from
funder to funder…
• A science-centri...
• “Research object” is a term that is gaining in
popularity, not least in the humanities where the
relevance of the term ‘...
Overview
1. Background and context
2. Open Access + Open Data = Open Science (Research)
3. Benefits of Open Science
4. Ope...
Open Access, Open Data, Open Science…
• Open Access (OA) was born in the 1980s with free-to-access Listserv
journals, but ...
Timeline: OpenAccess and Data Sharing
• 1987: New Horizons in Adult Education launched by the Syracuse University
Kellogg ...
OpenAccess to Research Publications
• OA publication is past the ‘tipping point’ in several fields (e.g. biology,
biomedic...
OpenAccess + Open Data = Open Science
• As Open Access to publications became normal (if not yet
ubiquitous), the scholarl...
What is RDM?
“the active management
and appraisal of data over
the lifecycle of scholarly
and scientific interest”
What so...
RDM: who and how?
• RDM is a hybrid activity, involving multiple stakeholder
groups…
• The researchers themselves
• Resear...
Overview
1. Background and context
2. Open Access + Open Data = Open Science (Research)
3. Benefits of Open Science
4. Ope...
Why do this?
• IMPACT and LONGEVITY: Open publications and data
receive more citations, over longer period
• SPEED: The re...
“In genomics research, a large-scale
analysis of data sharing shows that
studies that made data available in
repositories ...
“Data is necessary for
reproducibility of
computational research,
but an equal amount of
concern should be directed
at cod...
“Conservatively, we estimate that the value of data in
Australia’s public research to be at least $1.9 billion
and possibl...
J. Manyika et al. "Open data: Unlocking innovation
and performance with liquid information" McKinsey
Global Institute, Oct...
“If we are going to wait
five years for data to
be released, the Arctic
is going to be a very
different place.”
Bryn Nelso...
Overview
1. Background and context
2. Open Access + Open Data = Open Science (Research)
3. Benefits of Open Science
4. Ope...
REF mandate re. Open Access
• Journal articles and conference proceedings must
be available via Open Access (green or gold...
UK funder data management policies
• 6 of the 7 RCUK councils require data management
plans at the application stage
• NER...
European recap: OpenAccess in FP7
The EC’s Open Access pilot ran from August 2008 until the end of the Seventh Research
Fr...
Open Science in H2020 – Publications
• All projects receiving Horizon 2020 funding
are obliged to make sure that any peer-...
Open Science in H2020 – Data
• H2020 features an Open Research Data pilot, and it
seems likely that it will become an acro...
Data management plans and planning
• Research funders (and other bodies) often ask for a short
statement/plan to be submit...
Benefits of data management planning
• It is intuitive that planned activities stand a better
chance of meeting their goal...
Overview
1. Background and context
2. Open Access + Open Data = Open Science (Research)
3. Benefits of Open Science
4. Ope...
Roles and responsibilities
It’s worth remembering that RDM is a hybrid activity,
involving multiple stakeholder groups…
• ...
What does it mean for researchers?
• A disruption to previous working processes
• Additional expectations / requirements f...
What does it mean for universities?
ì Three principal areas of focus
ì Developing and integrating their technical
infras...
What does it mean for research supportstaff?
• Need to understand the key elements in the process, as well as
roles and re...
Open Science in practice: key points
1. Understand your funder’s policies
2. Check your intended publisher’s OA policy (e....
Overview
1. Background and context
2. Open Access + Open Data = Open Science (Research)
3. Benefits of Open Science
4. Ope...
Data management resources(DCC)
• Book chapter
• Donnelly, M. (2012) “Data Management Plans and
Planning”, in Pryor (ed.) M...
• Helps researchers write DMPs
• Provides funder questions and guidance
• Includes a template for Horizon 2020
• Provides ...
Data management resources (Non-DCC)
• Book chapter
• Sallans, A. and Lake, S. (2014) “Data Management
Assessment and Plann...
Overview
1. Background and context
2. Open Access + Open Data = Open Science (Research)
3. Benefits of Open Science
4. Ope...
OBJECTIVES
• To support different stakeholders, especially
younger researchers, in adopting open access in
the context of ...
METHODS
• Identifying already existing content that can be
reused in the context of the training activities
and repackagin...
Thank you
• For more information about the
FOSTER project:
• Website: www.fosteropenscience.eu
• Principal investigator: E...
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Open Access and Open Data: what do I need to know (and do)?

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Invited presentation given at the University of Dundee on 28 October 2015, on behalf of the FOSTER project.

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Open Access and Open Data: what do I need to know (and do)?

  1. 1. Facilitate Open Science Training for European Research Open Access and Open Data: what do I need to know (and do)? Martin Donnelly Digital Curation Centre University of Edinburgh University of Dundee 28 October 2015
  2. 2. The Digital Curation Centre • The UK’s centre of expertise in digital preservation and data management, established 2004 • Provide guidance, training, tools and other services on all aspects of research data management • Organise national and international events and webinars (International Digital Curation Conference, Research Data Management Forum) • Our principal audience is the UK higher education sector, but we increasingly work further afield (Europe, North America, South Africa…) • Now offering tailored consultancy/training services
  3. 3. Overview 1. Background and context 2. Open Access + Open Data = Open Science (Research) 3. Benefits of Open Science 4. Open Science policies a. Focus on publications b. Focus on data 5. What does it mean in practice? 6. Useful resources 7. About the FOSTER project
  4. 4. Overview 1. Background and context 2. Open Access + Open Data = Open Science (Research) 3. Benefits of Open Science 4. Open Science policies a. Focus on publications b. Focus on data 5. What does it mean in practice? 6. Useful resources 7. About the FOSTER project
  5. 5. Context • Openness in research is situated within a context of ever greater transparency, accessibility and accountability • The impetus comes from two directions: • Ground-up – OA emerged from the High Energy Physics research community, which saw benefit in not waiting for publication before sharing research findings (and data / code) • Top-down – strong Government/funder support, increasing public and commercial engagement with research • The main goals of these developments are to lower barriers to accessing the outputs of publicly funded research (or ‘science’ for short), to speed up the research process, and to strengthen the quality, integrity and longevity of the scholarly record
  6. 6. The old way of doing research 1.  Researcher  collects  data  (information) 2.  Researcher  interprets/synthesises  data 3.  Researcher  writes  paper  based  on  data 4.  Paper  is  published  (and  preserved) 5.  Data  is  left  to  benign  neglect,  and   eventually  ceases  to  be   accessible
  7. 7. Without intervention, data + time = no data Vines et al. “examined the availability of data from 516 studies between 2 and 22 years old” - The odds of a data set being reported as extant fell by 17% per year - Broken e-mails and obsolete storage devices were the main obstacles to data sharing - Policies mandating data archiving at publication are clearly needed “The current system of leaving data with authors means that almost all of it is lost over time, unavailable for validation of the original results or to use for entirely new purposes” according to Timothy Vines, one of the researchers. This underscores the need for intentional management of data from all disciplines and opened our conversation on potential roles for librarians in this arena. (“80 Percent of Scientific Data Gone in 20 Years” HNGN, Dec. 20, 2013, http://www.hngn.com/articles/20083/20131220/80-percent-of-scientific-data-gone-in- 20-years.htm.) Vines et al., The Availability of Research Data Declines Rapidly with Article Age, Current Biology (2014), http://dx.doi.org/10.1016/j.cub.2013.11.014
  8. 8. The new way of doing research Plan Collect Assure Describe Preserve Discover Integrate Analyze DEPOSIT …and   RE-­‐USE The  DataONE   lifecycle  model
  9. 9. What do we mean by ‘data’? • Definitions vary from discipline to discipline, and from funder to funder… • A science-centric definition: • “The recorded factual material commonly accepted in the scientific community as necessary to validate research findings.” (US Office of Management and Budget, Circular 110) • And another from the visual arts: • “Evidence which is used or created to generate new knowledge and interpretations. ‘Evidence’ may be intersubjective or subjective; physical or emotional; persistent or ephemeral; personal or public; explicit or tacit; and is consciously or unconsciously referenced by the researcher at some point during the course of their research.” (Leigh Garrett, KAPTUR project: see http://kaptur.wordpress.com/2013/01/23/what-is-visual-arts- research-data-revisited )
  10. 10. • “Research object” is a term that is gaining in popularity, not least in the humanities where the relevance of the term ‘data’ is not always recognised • Research objects can comprise any supporting material which underpins or otherwise enriches the (written) outputs of research • Data (numeric, written, audiovisual….) • Software code • Workflows and methodologies • Slides, logs, lab books, sketchbooks, notebooks, you name it! • See http://www.researchobject.org/ for more info From data to research objects?
  11. 11. Overview 1. Background and context 2. Open Access + Open Data = Open Science (Research) 3. Benefits of Open Science 4. Open Science policies a. Focus on publications b. Focus on data 5. What does it mean in practice? 6. Useful resources 7. About the FOSTER project
  12. 12. Open Access, Open Data, Open Science… • Open Access (OA) was born in the 1980s with free-to-access Listserv journals, but it really took off with the popularisation of the Internet in the mid-1990s, and the subsequent boom in online journals • The Internet lowered (physical) barriers to accessing knowledge, but financial barriers remained – indeed, the cost of online journals tended to increase much faster than inflation, and scholars/libraries faced a cost crisis • OA is part of a broader trend in research, sometimes termed ‘Science 2.0’. As Open Access to publications became normal (if not ubiquitous), the scholarly community turned its attention to the data which underpins the research outputs, and eventually to consider it a first-class output in its own right • In fact, the development of the OA and research data management (RDM) agendas are closely linked…
  13. 13. Timeline: OpenAccess and Data Sharing • 1987: New Horizons in Adult Education launched by the Syracuse University Kellogg Project. (An early free online peer-reviewed journal.) • 1991: The “Bromley Principles” Regarding Full and Open Access to “Global Change” Data, in Policy Statements on Data Management for Global Change Research, U.S. Office of Science and Technology Policy • 2001: The term “Open Access” (OA), the free online availability of research literature, is first coined at an Open Society sponsored meeting in Budapest, Hungary. • 2004: Ministerial representatives from 34 nations to the Organisation for Economic Co-operation and Development (OECD) issue the Declaration on Access to Research Data From Public Funding. • 2006: The Scientific Council of the European Research Council (ERC) pledges to adopt an OA mandate for ERC-funded research “as soon as pertinent repositories become operational”. • 2012: European Commission recognises research data is as important as publications. Announces in July 2012 that it would experiment with open access to research data (see IP/12/790) http://europa.eu/rapid/press-release_IP-12- 790_en.htm (Derived from, inter alia, Peter Suber (2009) “Timeline of the open access movement”, http://www.earlham.edu/~peters/fos/timeline.htm )
  14. 14. OpenAccess to Research Publications • OA publication is past the ‘tipping point’ in several fields (e.g. biology, biomedical research, mathematics and general science & technology) whereas the social sciences, humanities, applied sciences, engineering and technology are the least engaged. (Archambault et al. (2013) “Proportion of Open Access Peer-Reviewed Papers at the European and World Levels — 2004-2011”) • The EC sees a real economic benefit to OA by supporting SMEs and NGOs that can’t afford subscriptions to the latest research • Houghton, Swan and Brown offer quantifiable evidence of how much a lack of OA costs SMEs, both in terms of the time lost accessing documents and the delays in producing new products • The EC’s OA pilot in FP7 is now a requirement in Horizon 2020. A pilot for open data has also been introduced with an intention to develop policy in the same way…
  15. 15. OpenAccess + Open Data = Open Science • As Open Access to publications became normal (if not yet ubiquitous), the scholarly community turned its attention to the data which underpins the research outputs, and eventually to consider it a first-class output in its own right. The development of the OA and research data management (RDM) agendas are closely linked as part of a broader trend in research, sometimes termed ‘Open Science’ or ‘Open Research’ • “The European Commission is now moving beyond open access towards the more inclusive area of open science. Elements of open science will gradually feed into the shaping of a policy for Responsible Research and Innovation and will contribute to the realisation of the European Research Area and the Innovation Union, the two main flagship initiatives for research and innovation” http://ec.europa.eu/research/swafs/index.cfm?pg=policy&lib=science
  16. 16. What is RDM? “the active management and appraisal of data over the lifecycle of scholarly and scientific interest” What sorts of activities? - Planning and describing data- related work before it takes place - Documenting your data so that others can find and understand it - Storing it safely during the project - Depositing it in a trusted archive at the end of the project - Linking publications to the datasets that underpin them Data management is a part of good research practice. - RCUK Policy and Code of Conduct on the Governance of Good Research Conduct
  17. 17. RDM: who and how? • RDM is a hybrid activity, involving multiple stakeholder groups… • The researchers themselves • Research support personnel • Partners based in other institutions, commercial partners, etc • Data Management Planning (DMP) underpins and pulls together different strands of data management activities. DMP is the process of planning, describing and communicating the activities carried out during the research lifecycle in order to… • Keep sensitive data safe • Maximise data’s re-use potential • Support longer-term preservation • Data Management Plans are a means of communication, with contemporaries and future re-users alike
  18. 18. Overview 1. Background and context 2. Open Access + Open Data = Open Science (Research) 3. Benefits of Open Science 4. Open Science policies a. Focus on publications b. Focus on data 5. What does it mean in practice? 6. Useful resources 7. About the FOSTER project
  19. 19. Why do this? • IMPACT and LONGEVITY: Open publications and data receive more citations, over longer period • SPEED: The research process becomes faster • ACCESSIBILITY: Interested third parties can (where appropriate) access and build upon publicly-funded research resources with minimal barriers to access • EFFICIENCY: Data collection can be funded once, and used many times for a variety of purposes • TRANSPARENCY and QUALITY: The evidence that underpins research can be made open for anyone to scrutinise, and attempt to replicate findings. This leads to a more robust scholarly record
  20. 20. “In genomics research, a large-scale analysis of data sharing shows that studies that made data available in repositories received 9% more citations, when controlling for other variables; and that whilst self-reuse citation declines steeply after two years, reuse by third parties increases even after six years.” (Piwowar and Vision, 2013) Van den Eynden, V. and Bishop, L. (2014). Incentives and motivations for sharing research data, a researcher’s perspective.AKnowledge Exchange Report, http://repository.jisc.ac.uk/5662/1/KE _report-incentives-for-sharing- researchdata.pdf Benefits of Open Science: Impact and Longevity
  21. 21. “Data is necessary for reproducibility of computational research, but an equal amount of concern should be directed at code sharing.” Victoria Stodden, “Innovation and Growth through Open Access to Scientific Research: Three Ideas for High-Impact Rule Changes” in Litan, Robert E. et al. Rules for Growth: Promoting Innovation and Growth Through Legal Reform. SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, February 8, 2011. http://papers.ssrn.com/abstract=1757982. Benefits of Open Science: Quality
  22. 22. “Conservatively, we estimate that the value of data in Australia’s public research to be at least $1.9 billion and possibly up to $6 billion a year at current levels of expenditure and activity. Research data curation and sharing might be worth at least $1.8 billion and possibly up to $5.5 billion a year, of which perhaps $1.4 billion to $4.9 billion annually is yet to be realized.” • “Open Research Data”, Report to the Australian National Data Service (ANDS), November 2014 - John Houghton, Victoria Institute of Strategic Economic Studies & Nicholas Gruen, Lateral Economics Benefits of Open Science: Financial
  23. 23. J. Manyika et al. "Open data: Unlocking innovation and performance with liquid information" McKinsey Global Institute, October 2013
  24. 24. “If we are going to wait five years for data to be released, the Arctic is going to be a very different place.” Bryn Nelson, Nature, 10 Sept 2009 http://www.nature.com/nature/jour nal/v461/n7261/index.html Benefits of Open Science: Speed https://www.flickr.com/photos/gsfc/7348953774/ - CC-BY
  25. 25. Overview 1. Background and context 2. Open Access + Open Data = Open Science (Research) 3. Benefits of Open Science 4. Open Science policies a. Focus on publications b. Focus on data 5. What does it mean in practice? 6. Useful resources 7. About the FOSTER project
  26. 26. REF mandate re. Open Access • Journal articles and conference proceedings must be available via Open Access (green or gold) in order to be submissible for REF • Must be deposited in either an institutional or discipline-focused repository • Does not cover monographs, book chapters, or other long-form research publications • Does not (yet!) apply to data, but other policies cover this… • See www.hefce.ac.uk/rsrch/oa/Policy/
  27. 27. UK funder data management policies • 6 of the 7 RCUK councils require data management plans at the application stage • NERC also expect an expanded DMP during the project, to be prepared in collaboration with the appropriate NERC data centre • Other major funders such as Cancer Research UK and the Wellcome Trust also require DMPs • EPSRC don’t require DMPs to be submitted to them, but do expect them to be created and maintained. They place the responsibility for research data at an institutional level…
  28. 28. European recap: OpenAccess in FP7 The EC’s Open Access pilot ran from August 2008 until the end of the Seventh Research Framework Programme (FP7) in 2013. It required grant recipients in certain areas to “deposit peer reviewed research articles or final manuscripts resulting from their FP7 projects into an online repository and make their best efforts to ensure open access to these articles.” Both green and gold OA were catered for. • Rationale: • to improve and promote the dissemination of knowledge, thereby • improving the efficiency of scientific discovery, and • maximising return on investment in R&D by public research funding bodies • Coverage: Peer reviewed research articles in the following areas… • Energy; Environment (including Climate Change); Health; Information and Communication Technologies (Cognitive Systems, Interaction, Robotics); Research Infrastructures (e-infrastructures); Science in society *; Socio-economic sciences and the humanities * • Timing: Open access to these publications is to be ensured within six months after publication (* twelve months in the last two areas) • Place of deposit: Institutional repository was first choice, failing that “an appropriate subject based/thematic repository” or the EC’s open repository for papers that would otherwise be homeless. • Full guidelines: ftp://ftp.cordis.europa.eu/pub/fp7/docs/open-access-pilot_en.pdf
  29. 29. Open Science in H2020 – Publications • All projects receiving Horizon 2020 funding are obliged to make sure that any peer- reviewed journal article they publish is openly accessible, free of charge, via a repository • The researcher chooses where to publish, and whether to use a ‘gold’ (APC) or ‘green’ (self- archiving) publication route • No current price cap on fees for APCs – write them into your proposals under the dissemination budget, and acknowledge funding in publications A  detailed   description  of  the  OA   mandate   and  Open   Research   Data   Pilot  is  provided   on   the   Participants’  Portal
  30. 30. Open Science in H2020 – Data • H2020 features an Open Research Data pilot, and it seems likely that it will become an across-the-board requirement in FP9… • It applies to data (and metadata) needed to validate scientific results, which should be deposited in a dedicated data repository • The Horizon 2020 Open Research Data pilot covers “Innovation actions” and “Research and Innovation actions”, and involves three iterations of Data Management Plan (DMP) • 6 months after start of project, mid-project review, end-of- project (final review) • DMP contents • Data types; Standards used; Sharing/making available; Curation and preservation • There are certain opt-out conditions A  detailed   description  of  the  OA   mandate   and  Open   Research   Data   Pilot  is  provided   on   the   Participants’  Portal
  31. 31. Data management plans and planning • Research funders (and other bodies) often ask for a short statement/plan to be submitted alongside grant applications. HEIs are increasingly asking their researchers to do this too • DMP is the process of planning, describing and communicating the activities carried out during the research lifecycle in order to… • Keep sensitive data safe • Maximise data’s re-use potential • Support longer-term preservation • Data management planning (DMP) underpins and pulls together different strands of data management activities
  32. 32. Benefits of data management planning • It is intuitive that planned activities stand a better chance of meeting their goals than unplanned ones. The process of planning is also a process of communication, increasingly important in interdisciplinary / multi-partner research. Collaboration will be more harmonious if project partners (in industry, other universities, other countries…) are in accord • In terms of data security, if there are good reasons not to publish/share data, in whole or in part, you will be on more solid ground if you flag these up early in the process • DMP also provides an ideal opportunity to engender good practice with regard to (e.g.) file formats, metadata standards, storage and risk management practices, leading to greater longevity of data, and higher quality standards
  33. 33. Overview 1. Background and context 2. Open Access + Open Data = Open Science (Research) 3. Benefits of Open Science 4. Open Science policies a. Focus on publications b. Focus on data 5. What does it mean in practice? 6. Useful resources 7. About the FOSTER project
  34. 34. Roles and responsibilities It’s worth remembering that RDM is a hybrid activity, involving multiple stakeholder groups… • The principal investigator (usually ultimately responsible for data) • Research assistants (may be more involved in day-to-day data management) • The institution’s funding office (may have a compliance role) • Library/IT/Legal (The library may issue PIDs, or liaise with an external service who do this, e.g. DataCite.) • Partners based in other institutions • Commercial partners • etc
  35. 35. What does it mean for researchers? • A disruption to previous working processes • Additional expectations / requirements from the funders (and sometimes their home institutions and publishers too) • But! It provides opportunities for new types of investigation • And leads to a more robust scholarly record
  36. 36. What does it mean for universities? ì Three principal areas of focus ì Developing and integrating their technical infrastructure (storage space, repositories/ CRIS systems, data catalogues, etc) ì Developing human infrastructure (creating policies, assessing current data management capabilities, identifying areas of good practice, data management plan templates, tailoring training and guidance materials…) ì Developing business plans for sustainable services / roles ì Forming cross-function working groups, advisory groups, task forces, etc… http://blog.soton.ac.uk/keep it/2010/01/28/aida-­and-­ institutional-­wobbliness/
  37. 37. What does it mean for research supportstaff? • Need to understand the key elements in the process, as well as roles and responsibilities • Understand the key points of the funders’ requirements • Expect questions from researchers… • Three main roles… • Compliance: checking adherence with funder policies, at both ends of the funding process (pre-award and end-of-project) • Guidance: helping researchers meet expectations and requirements • Selection etc: some staff may also have an appraisal and retention role, making decisions re. what the institution will want to keep / share, under what conditions, and for how long. There are various reasons for universities to want to keep some datasets, and to get rid of others. • Different universities organise their provision in different ways; there’s no one-size-fits-all approach
  38. 38. Open Science in practice: key points 1. Understand your funder’s policies 2. Check your intended publisher’s OA policy (e.g. via Sherpa Romeo) 3. Create a data management plan (e.g. with DMPonline) 4. Decide which data to preserve (e.g. using the DCC How-To guide and checklist, “Five Steps to Decide what Data to Keep”) 5. Identify a long-term home for your data (e.g. via re3data.org) 6. Link your data to your publications with a persistent identifier (e.g. via DataCite) • N.B. Many repositories, including Zenodo, will do this for you 7. Investigate EU infrastructure services and resources, e.g. EUDAT, OpenAIRE Plus, FOSTER, etc…
  39. 39. Overview 1. Background and context 2. Open Access + Open Data = Open Science (Research) 3. Benefits of Open Science 4. Open Science policies a. Focus on publications b. Focus on data 5. What does it mean in practice? 6. Useful resources 7. About the FOSTER project
  40. 40. Data management resources(DCC) • Book chapter • Donnelly, M. (2012) “Data Management Plans and Planning”, in Pryor (ed.) Managing Research Data, London: Facet • Guidance, e.g. “How-To Develop a Data Management and Sharing Plan” • DCC Checklist for a Data Management Plan: http://www.dcc.ac.uk/resources/data- management-plans/checklist • Links to all DCC DMP resources via http://www.dcc.ac.uk/resources/data- management-plans • DMPonline: https://dmponline.dcc.ac.uk/
  41. 41. • Helps researchers write DMPs • Provides funder questions and guidance • Includes a template for Horizon 2020 • Provides help from universities • Examples and suggested answers • Free to use • Mature (v1 launched April 2010) • Code is Open Source (on GitHub) • https://dmponline.dcc.ac.uk DMPonline: overview
  42. 42. Data management resources (Non-DCC) • Book chapter • Sallans, A. and Lake, S. (2014) “Data Management Assessment and Planning Tools”, in Ray (ed.) Research Data Management, Purdue University Press • DMPTool • UKDA guidance • NERC guidance • European Union resources • Resources from other universities, inc. Oxford (http://researchdata.ox.ac.uk/)
  43. 43. Overview 1. Background and context 2. Open Access + Open Data = Open Science (Research) 3. Benefits of Open Science 4. Open Science policies a. Focus on publications b. Focus on data 5. What does it mean in practice? 6. Useful resources 7. About the FOSTER project
  44. 44. OBJECTIVES • To support different stakeholders, especially younger researchers, in adopting open access in the context of the European Research Area (ERA) and in complying with the open access policies and rules of participation set out for Horizon 2020 • To integrate open access principles and practice in the current research workflow by targeting the young researcher training environment • To strengthen institutional training capacity to foster compliance with the open access policies of the ERA and Horizon 2020 (beyond the FOSTER project) • To facilitate the adoption, reinforcement and implementation of open access policies from other European funders, in line with the EC’s recommendation, in partnership with PASTEUR4OA project FacilitateOpen ScienceTraining for European Research The project
  45. 45. METHODS • Identifying already existing content that can be reused in the context of the training activities and repackaging, reformatting them to be used within FOSTER, and developing/creating/enhancing contents as required • Developing the FOSTER Portal to support e- learning, blended learning, self-learning, dissemination of training materials/contents and a Helpdesk • Delivery of face-to-face training, especially training trainers/multipliers who can deliver further training and dissemination activities, within institutions, nations or disciplinary communities • The EU is also funding other specific technical and professional support services via the e-Infrastructures WP, e.g. EUDAT and OpenAIRE FacilitateOpen ScienceTraining for European Research The project
  46. 46. Thank you • For more information about the FOSTER project: • Website: www.fosteropenscience.eu • Principal investigator: Eloy Rodrigues (eloy@sdum.uminho.pt) • General enquiries: Gwen Franck (gwen.franck@eifl.net) • Twitter: @fosterscience • My contact details: • Email: martin.donnelly@ed.ac.uk • Twitter: @mkdDCC • Slideshare: http://www.slideshare.net/martindo nnelly This work is licensed under the Creative Commons Attribution 2.5 UK: Scotland License.

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