research data spring workshop 1 2015-02-26 and 2015-02-27 · the jisc research data spring , part...
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Research Data Spring Workshop 1 2015-02-26 and 2015-02-27
1. Introduction
1.1. Metadata Research Data Spring Workshop 1 20150226 and 20150227
https://docs.google.com/document/d/1OX51QSmBZFsTBSclD4TI4UnBAWGzdSDbL6X0pM08vk/edit
This document is free of known copyright restrictions. Andy Turner’s notes about a Research Data Spring Workshop on the 26th and 27th of
February 2015. The Jisc Research Data Spring, part of the research at risk codesign challenge area,
is a project aiming to find new technical tools, software and service solutions, which will improve researchers' workflows and the use and management of their data.
A draft of this document was added to figshare: http://figshare.com/preview/_url/1317350/project/3579 Provisional DOI:
http://dx.doi.org/10.6084/m9.figshare.1317350
1.2. Contents 1. Introduction
1.1. Metadata 1.2. Contents
2. Event information 2.1. General 2.2. Programme
2.2.1. 20150226 2.2.2. 20150226
2.3. Documentation and information 2.3.1. Jisc Terms and Conditions of Grant (Project) 2.3.2. Research Data Spring Idea to Project to Software & Tools
2.3.2.1. Project planning 2.3.2.2. Pitch elements
2.3.3. Experts 2.3.4. Research Data Spring Idea Spring web site
3. Preparation 4. Notes
4.1. 20150226 4.1.1. Introduction to Jisc and the workshop
4.1.2. Group 2 4.1.3. Ideas exchange 4.1.4. 1 minute pitches 4.1.5. Workshopping
4.2. 20150227 4.2.1. Sensitive Data
4.2.1.1. Plan and progress in planning 4.2.1.1.1. People and organisations 4.2.1.1.2. Phases and long term vision
4.2.1.2. Presentation 4.3. Pitches
4.3.1. Judging 4.3.2. Extending Alfresco for active research data management in the field 4.3.3. Open Source Database as a Service 4.3.4. Developing Organisational Profile Documents for RDM 4.3.5. Distributed Knowledge Sharing Platform for RDM 4.3.6. RDM is about people 4.3.7. 4.3.8. OJS Plugin development 4.3.9. Giving researchers credit for sharing their data 4.3.10. Archivematica for RDM 4.3.11. DMA Online 4.3.12. Consortial approach to developing an integrated RDM platform 4.3.13. Software sustainability, reuse and repurposing 4.3.14. Clipper: Enhancing timebased media for research 4.3.15. Capturing contextual data about Art for RDM 4.3.16. Cloud Workbench 4.3.17. Wiki database interface 4.3.18. Enabling Complex Analysis of Large Scale Digital Collections 4.3.19. Managing Sensitive data 4.3.20. Scientific Data Management 4.3.21. 3D Data Workflow 4.3.22. Amased Access methods for analysing sensitive data 4.3.23. An intelligent Online Data Cleaning Tool for research Data 4.3.24. Orcid and DOI for Theses 4.3.25. DAF 4.3.26. Data Vault 4.3.27. Collaboration for Research Enhancement by Active Metadata (CREAM) 4.3.28. Sound Matters 4.3.29. Meta project
4.4. Feedback 5. References
2. Event information
2.1. General https://www.eventsforce.net/jisc/frontend/reg/thome.csp?pageID=107480&eventID=37
7&eventID=377 Conference Venue
Camms Meeting Suites, Conference Aston, Birmingham http://www.conferenceaston.co.uk/_data/_pdf/aston.pdf
Accommodation Conference Aston Hotel
http://www.conferenceaston.co.uk/bookhotelroom/whereisthehotel/ Registration
From 10:00 on Thursday 26 February 2015. Social media
Hashtag #dataspring
https://twitter.com/hashtag/dataspring You can access, download, adapt and use all the resources from the workshop
from http://researchdata.jiscinvolve.org/wp/ after the event.
2.2. Programme
2.2.1. 2015-02-26 10:00 Welcome
Introduction to aims of workshop and structure 11:10 The ‘mingle’
Meet and greet the idea authors, experts; developers, librarians, publishers, learned society members…
11:30 Birds of a feather Within smaller groups based around key topics and 8 ideas participants will
identify and discuss the issues and priorities, and brainstorm solutions. Topics and ideas have been posted on our blog and the 5 groups are structured below
12:25 Birds of a feather active planning Within idea teams, we encourage you to work on identifying the ideas going
forward, the types of skills needed for the project and major questions that need to be further fleshed out.
13:00 Lunch 13:45 Ideas market
Based on the active planning session, members of the teams can interact with other participants to collect information that would provide initial answers to key questions within their projects and find collaborators with required skills.
15:00 Pitch and project planning marathon
Teams will reconvene in their new formations and will start working on the pitch and the project plan. Use figshare to save and share your work and add Research Data Spring and sandpit1 as tags
19:00 Informal dinner
2.2.2. 2015-02-26 07:00 Breakfast 08:30 Pitch and project planning marathon (continued) 11:15 Pitches session 1 12:30 Pitches session 2 13:30 Lunch 14:15 Pitches session 3 15:30 Pitches session 4 16:30 End of workshop
2.3. Documentation and information
2.3.1. Jisc Terms and Conditions of Grant (Project) http://www.jisc.ac.uk/sites/default/files/jisc_terms_and_condtions_of_grant_project_v2.
0.pdf
2.3.2. Research Data Spring Idea to Project to Software & Tools Document distributed by email
2.3.2.1. Project planning Define goals and objectives
Stakeholders The research data lifecycle http://www.jisc.ac.uk/fundingopportunities/projectmanagement/planning/objectiv
es.aspx List and describe anticipated deliverables
Months 3, 7, 9 Risks and mitigations
Create the schedule and milestones Tasks
Estimate resources involved and funding required Financial Technical Human Communications
Develop a concise project summary Additional elements to consider
Strategy and methodology of the overall approach Related projects
Critical local, national, global initiatives and standards used Constraints to the project Intellectual Property Rights (all Jisc funded projects must share outcomes with
the community) and what will happen to the project outputs/outcomes at the end of the project
Sustainability plans
2.3.2.2. Pitch elements Title of your idea and aim Team
Who is it that will work on the idea primarily? Who is ready to pilot the solution?
Scope How does your idea fit within the scope of Research Data Spring? What gap is being filled and why this will work (vs existing solutions if any)? Estimated impact, benefits and/or return on investment How is your solution sustainable? Outputs and milestones – what are your final longterm outputs and timeline,
how and what are you planning to achieve during the first 3 months and the subsequent development phases?
What are your indicators of success? Funding
2.3.3. Experts Adrian Stevenson
Jisc Digital Resources Expert in library and archival services and technical innovations.
Andy Turner University of Leeds Developer, specialising in Java, and focusing on distributed computing,
stochastic simulation, result replication and validation, and workflow automation http://orcid.org/0000000260986313
Balviar Notay Jisc Digital Resources Expert on repositories, portals, resource discovery and metadata
Ed Fay Open Preservation Expert in metadata, digital preservation, semantic web, archives.
Graham Steel ContentMine, Open Knowledge Expert on open access/science/data, community manager at ContentMine http://orcid.org/0000000346818011
Jeremy Yates University College London
Involved in the National EInfrastructure Project Directors Group http://orcid.org/0000000319548749
Jez Cope Imperial College London Digital technologist and expert in setting up virtual
research environments http://orcid.org/0000000336291383
Josh Brown ORCID Strategies around ORCID http://orcid.org/0000000286894935
Kenji Takeda Microsoft Research Cloud computing
Laurence Horton LSE Data librarian http://orcid.org/0000000327426434 http://iassistdata.org/blog/springforwardjiscresearchdataspringprogramme
Michael Webb Jisc Digital Futures Expert in software and infrastructure development
Paola Marchionni Jisc Digital Resources Developing new models and partnerships for the funding of digital collections to
support teaching, learning and research http://digitisation.jiscinvolve.org/wp/2015/01/28/digitisationofleedscookeryan
dhealthscienceshistoricalcollections/ Peter Webster
Peter Webster Consulting Working on digital history, digitisation more generally, web archiving and digital
curation, and Open Access publishing, http://orcid.org/0000000151814475
Petr Knoth Open University Text mining and semantics, founder of CORE system, open access enthusiast.
Rachael Kotarski British Library Content expert, DataCite DOI usage.
Ruben Gamez EDINA Developer COBWEB
Samantha McGregor ESRC
Expert on data infrastructure and resources for social science research, responsible for the strategic development of ESRC’s Big Data Network
Stephen Andrews British Library Strategies around DOI usage and DataCite http://www.bl.uk/reshelp/experthelp/science/ric/riccontact.html
Will Simpson ORCID Software development and community activity for ORCID, http://orcid.org/0000000346541403
2.3.4. Research Data Spring Idea Spring web site http://researchatrisk.ideascale.com/
3. Preparation Registered as an expert Liaison with Graham Blyth Read through the documentation and drafted this Reread the selected project descriptions on IdeaSpring
http://researchdata.jiscinvolve.org/wp/2015/01/22/researchdataspringhowdidwedo/
Group 1 Analytics & Visualisation
3D data workflow Data browsing tools for repositories Seeing is believing – visualising research data RDM Administration Analytics Enabling complex analysis of large scale digital collections
Preservation Develop a DataVault Preserving research data through deposit
Group 2 Provenance
GeosMeta: a metadata and provenance service to support research
Provenance and Packaging Linked data notebook Standards and Schemas for Digital Research Notebooks Use semantic desktop to capture contextual research data
Reuse Computational Experiments as Data Objects Recomputation: enabling archiving of computational experiments Research Software: assigning persistent identifiers
Research Data as a Unique and Distinctive Collection (UDC) Unlocking the UK’s thesis data through persistent identifiers
Group 3 Researcher experience
Clipper: Enhancing timebased media for research Using Alfresco for Management of Research Data An Intelligent Data Cleaning Software Tool for Research Data Badges as a proxy for peer review of data Giving researchers credit for their data Cloud Work Bench Collaboration tool for qualitative data analysis
Sensitive data Dissecting digital humanities data with biomedical tools Managing Sensitive data
Group 4 Services
Open Source DatabaseasaService with Data Publishing Pushing Database Wiki out of the nest
Standardising discourses Architecture for endtoend data archiving DAF Question Bank Research Data requirements vocabulary Extending the Organisational Profile Document (OPD) to cover
RDM Sound Matters: a framework for use and reuse of sound Standard protocol for research equipment
Group 5 System integrations
Distributed Knowledge Sharing Platform for RDM Integrated RDM toolkit/service Link EPrints to remote research data Protocol for a shared approach to Research Data Management
Systems Research Data Infrastructure for the Visual Arts (RDIVA) Seemless RDM, Seemless Integration Template Solution for Integrated Repository and RMS Streamlining Deposit: An OJS to Repository Plugin
http://blog.comicsgrid.com/2014/12/ojsrepositoryplugindepositingmadeeasier/
Wrapping up RDM functionality
4. Notes
4.1. 2015-02-26
4.1.1. Introduction to Jisc and the workshop Rachel Bruce We are aiming for collaboration, joining up of ideas where appropriate and
development of proposals from ideas that meet general demands across organisations.
Intro to Jisc Research Data Spring is part of Research at Risk Realising a robust and sustainable RDM infrastructure and services to enrich UK
Research Shared narrative and voice Shared services and infrastructure for research data Advice, guidance and practice
We are on a journey towards greater collaboration and sharing. Research Data Spring
70 ideas whittled down/merged to 43 at this stage Moderators
Chris Brown David Kernohan Linda Naughton Paul Stokes John Kaye
Daniela Duca Workshop timeline IDCC workshop
https://twitter.com/danielagduca/status/567339115860197376 Figshare
http://figshare.com/articles/search?q=Research+Data+Spring http://figshare.com/articles/search?q=sandpit1
Google Docs documentation http://bit.ly/1LJ7Rc3 https://docs.google.com/document/d/1nOwD9aWRRBJdl7sXGltm2gygR
4d8dAwBVcUAN_ORwjc/edit Find a friend with a different coloured tag
4.1.2. Group 2 Round table introductions
Graham Klyne Linked Data Notebook
Source code https://github.com/gklyne/annalist
Demo system http://annalist.net
Ian Gent St Andrews Computational experiment Reproducibility/Reuse as a service http://recomputation.org
Simon Coles Provenance and standardisation Agile development
Brian Matthews STFC Reproducibility
Laurence Horton Sarah Gould
British Library Better curation of UK PhD Thesis
John Pybus Oxford eResearch centre Music
Magnus Hagdorn GeoSciences Edinburgh Working with Mike Mineter
Tim Greece? Number 9 Introducing students to the new normal about sharing data
James Horwood? Chronicle
Catherine Jones Preservation of research software
Will Simpson Software architect at Orcid
Rachael Katarski British Library Persistent identifiers
Mike Mineter Athanasios Velios
Working with artists Auto collecting data about the artistic process
Understanding the artistic process Learning like invention and art preparation is a messy process
We do not want to interrupt too much the artistic process by demanding input from the artist or developer at the time
There are ways to autocapture/record in a noninteractive way to develop useful provenance
Infinite undo functions for understanding the derivation of results Para data
Additional data about something that might be useful in other ways This is different to provenance data which captures more about a process for
reproducibility Chronicling the research/artistic/scientific/mathematical process
Gaus is known to have rubbed out his working out so that it is now unclear sometimes *how* he made the mathematical discoveries he made
What is lost in this is important These days there is a popularity in watching the making of things to understand
the creative process History of science is interested in the communications between people and with
peoples diaries and how they did what they did that is in a way more about the person than about the work
Workflow forever WF4Ever
http://www.wf4everproject.org/ Workflow script annotation Standards and extensibility Reproducibility/Reuse as a Service Specification for interoperability Data Models for Provenance Ecosystems
Metadata captures to intentional show how something is Paradata that captures the process of capturing the metadata and undertaking
the research Visualising research processes Applications
Geo Artistic productions
Music Fine art
Tomography Publication and feedback capture mechanism
Assigning DOIs to research objects that are more like a PhD Thesis or even a degree more generally
Links with other groups There are links with Group 1 in terms of We like the idea of badges that show that results have been reproduced
4.1.3. Ideas exchange Version control and large volumes of data
4.1.4. 1 minute pitches Group 1
Heritage together 3D data workflow DMAOnline for RDM of ongoing and completed projects
Maximising the benefits to the institutions (and the research) Data Management Administration Online
Enabling complex analysis of digital collections British Library
Development of a data vault Moving data from active data stores to an archive
Filling the data preservation gap Archivematica
Scientific data management Marking up the data
Group 2 GeosMeta
Mike Mineter Metaproject for describing and understanding the research process
For reuse and reproducibility Contribute to the process Linked Data Notebook
Semantic Desktop for capturing information about the artistic process Software reuse repurposing and reproducibility DOIs for theses
Group 3 Clipper ... Intelligent data cleaning Giving researchers credit for publishing their data using buttons on journal
article publications CloudWorkbench
Putting researchers desktop Methods for joining and using sensitive data Managing sensitive data
What universities consider sensitive data to be Group 4
Open sourcing ORDS software stack (Oxford) Looking for collaboration
Making database interfaces more wiki like
Developing the Data Asset Framework (DAF) Enhancing digital curation profiles
Organisational Profile Documents for RDM infrastructure ... Metaproject
http://data.ac.uk Linking systems to share
Group 5 Consortial approach to developing RDM management systems Streamlining deposit
Voting My votes
OPD Development for RDM Metaproject Managing Sensitive Data Streamlining deposit DMAOnline
Results All 27 projects going through to the next stage :)
Next step, to prepare bids for upto £20k for the first 3 months Include travel and accommodation Microsoft costings for cloud services 100% FEC? Project leads have to be at HE/FE institutions
4.1.5. Workshopping Demo of wiki database interface
James Cheney http://homepages.inf.ed.ac.uk/jcheney/publications/drafts/sigmod_record.pdf Issues of sustainability All developed in Java Great work!
DMAOnline Masud Khokhar Interesting the University of Leeds and Imperial
Organisational Profile Documents for RDM Joy Davidson
Metaproject Research Data Catalogue/Registry Workshop Encouraging the use of and extending and enhancing the LinkingYou
vocabulary DAF
Angus Whyte
Opening up and sharing the University of Leeds RDM Service Development business case documentation and process of developing these
Research Data Management https://docs.google.com/document/d/1EmZGB4cVyoK7WgL1sd2sgrmv
ChZPmYwTkjzzDRO91EU/edit Semantic Desktop for Fine Art Creative Process Understanding
Athanasios Velios Semantic Desktop for capturing information about the artistic process
Which is very important in contemporary performance and other artistic expression
It is not what is in the gallery or what is displayed that counts! The generic aspects of this are important as artistic processes
are messy, like learning processes generally, and so these ideas and methods can extend out to understand scientific thought, research processes and learning generally.
Serendipity and the seemingly random connections that are made in thought that then get reinforced as we think about things are how ideas crystalize and we start the process of understanding something anew or creating a new form of something.
This is novel! I learned in eSocial Science that introspection
and understanding the research process was important!
Developers of Semantic Desktop http://www.semiodesk.com/about.html Open source development in Linked Data/Semantic Web
Looking for art http://www.imdb.com/title/tt0049531/ https://www.youtube.com/watch?v=808FoDlzgIw http://www.openculture.com/2013/05/watch_picasso_create_entire_pain
tings_in_short_time_lapse_film.html http://en.wikipedia.org/wiki/The_Mystery_of_Picasso http://www.allmovie.com/movie/v34221 http://www.ovguide.com/themysteryofpicasso9202a8c04000641f800
0000005e2acbc Serendipity!
4.2. 2015-02-27
4.2.1. Sensitive Data I was approached by Graham Blyth with a serious proposition about being involved in
this project and its codesign
Graham and I have worked together for a number of years and is aware of my work experience and engagement with research ethics and data management
Ethics https://docs.google.com/document/d/1CZjsJW4LIfDOJKGOqPa
3876FtVY_wO97qFptP9kjA/edit Research Data Management
https://docs.google.com/document/d/1EmZGB4cVyoK7WgL1sd2sgrmvChZPmYwTkjzzDRO91EU/edit
In the next 3 months I can rearrange other work and probably be available upto 40% time, but this needs to be put to my line manager at the University of Leeds
Introduction to the rest of the team assembled at this stage Steve Welburn I had chatted with at dinner yesterday Jonathan Tedds has been on my radar and we met briefly yesterday to say
hello Rightly, Jonathan asked about my relevant experience for this and was
satisfied that I had the skills and experience for the roles they had in mind and that collectively I contributed to the whole being far greater than the sum of the parts
Andrew Burnham I met virtually New document for drafting and developing the proposal:
Sensitive Research Data Management https://docs.google.com/document/d/1juRGZwksZXFuhOS6ge72YMcq
NGxW1dF8uBaKNv0T38s/edit
4.2.1.1. Plan and progress in planning
4.2.1.1.1. People and organisations Core team people currently engaged
Jonathan Tedds http://www.researchgate.net/profile/Jonathan_Tedds Leicester
Steve Welburn QMUL
Graham Blyth Leeds
Andy Turner Leeds
Andrew Burnham Leicester
Significant individuals/organisations to liaise with People
Andrew Charlesworth Bristol
Andy Byrd Bristol Linked Data
Paul Burton Bristol
Susan Wallace Leicester
Jane Kaye Oxford
... Organisations
HE/FE institutions Engaged with the project work plan Others
Others to liaise with Jisc Legal RDA …
4.2.1.1.2. Phases and long term vision Adopt codesign principles. Phase 1: Expert liaison: understanding the landscape (intelligence gathering)
Topics IL levels and legal framework
http://en.wikipedia.org/wiki/Government_Security_Classifications_Policy
UK http://en.wikipedia.org/wiki/Classified_information_in_the
_United_Kingdom Data Protection Act (DPA)
http://en.wikipedia.org/wiki/Data_Protection_Act_1998
Caldicott http://en.wikipedia.org/wiki/Caldicott_Repor
t Interpret and confirm
Knoppers Mcgill http://www.ncbi.nlm.nih.gov/pubmed/25209
486 DP and Consent in medical field
Military/Government/Research/Journalism/Judiciary Phase 2: Survey, documentation review and drafting guidance documents
Survey
Licensing/consent/contracts/agreements How have institutions interpreted the legal landscape?
Are there local policies? Ethics committees
Changes over time Reaction if the law changes
Datasets and research examples for the different types of sensitive data.
Phase 3: Interpret and reflect: develop models for sensitive data Relate storage options used with data levels classification Develop DCC guidance documentation
4.2.1.2. Presentation https://docs.google.com/presentation/d/1lfXk2yJ6kI9gjXtILDQ7KGOQnb2t345E00xuT1
0rOwc/edit# Graham to present Scope and Gap
Shared understanding of data management planning NHS Information Governance Toolkit
Legal and ethical landscape and data categories Importance of consent and contracts How categories map onto storage options
Links with Data Management Planning Ethics Impacts and benefits Helping to set the Agenda
Strengthen RDM Time Risk mitigation Enabling and enhancement If the government or the EU regulation and law changes
New data protection act then who is going to update the documentation Outputs and milestones
Clear and usable definitions Guidance documents How to categorise Where to store
Indicators of success Adoption Guidance in use More data available
Funding/Budget ...
Team This will explain the how Andrew Burnham Graham Blyth Steve Welburn Andy Turner
4.3. Pitches
4.3.1. Judging Judges scoring sheet
http://dx.doi.org/10.6084/m9.figshare.1319443 Judges
Kevin Ashley Martin Hamilton Rachel Bruce Steve Crouch William Kilbride
4.3.2. Extending Alfresco for active research data management in the field Ian Jennings Feedback
How widely used is Alfresco? Simple use case example
Instead of using a standard file store use a structure storage so for research continuity
Will researchers take to using a CMS? Windows explorer like interface Offers mobile and web access
Why Alfresco? Open source and open standards compliant Already being used for administrative data
How is the development going to be done in a sustainable way?
4.3.3. Open Source Database as a Service James Wilson ORDS
Online Research Database Service (I think this was formerly the Oxford Research Database Service)
4.3.4. Developing Organisational Profile Documents for RDM Joy Davidson
4.3.5. Distributed Knowledge Sharing Platform for RDM Stephann Makri
4.3.6. RDM is about people Michael Trikic Formerly “Seamless RDM Seamless Integration”
4.3.7.
4.3.8. OJS Plugin development ...
4.3.9. Giving researchers credit for sharing their data Neil Jeffries “Carrot” for data deposit
4.3.10. Archivematica for RDM Jen Mitcham Feedback
How does Archivematica work? OAIS Reference Model Automates some tasks for digital preservation
File migration etc
4.3.11. DMA Online Masud Khokhar Demo
http://bit.ly/1vC7Wui http://rds.masudk.com/dashboard/
Feedback
4.3.12. Consortial approach to developing an integrated RDM platform ...
4.3.13. Software sustainability, re-use and repurposing Ian Gent Play button for running software Software management planning Discoverability is runnability recomputation.org Feedback
Docker and virtual machines, how to cope with software licensing? How to guarantee that everything in the software stack is open source
Can you build something with major impact from this? TIMBUS Timeless business processes project
https://www.sbaresearch.org/timbus/
4.3.14. Clipper: Enhancing time-based media for research John Casey, Will Feedback
Please use the software sustainability institute best practice and for code review.
4.3.15. Capturing contextual data about Art for RDM Athanasios Velios
4.3.16. Cloud Workbench Ben Butchart Feedback
How keen will researchers be to use this?
4.3.17. Wiki database interface James Cheney Rather than pitching this for funding, James basically did a great plug for the
Metadata project concept that I first heard from Chris Gutteridge and also mentioned about the struggle for linkage and leadership to develop things that a useful, used, and that are sustainably developed..
4.3.18. Enabling Complex Analysis of Large Scale Digital Collections James Baker Feedback
Collaborating Digging into data initiatives
4.3.19. Managing Sensitive data Graham Blyth Feedback
Graham presented well. Rachel Bruce had questions that seemed to be concerned with codesign
I think angling for openness in phase 1 w.r.t. the list of people/experts/organisations for liaison.
Organisations to consider for liaison/survey Jisc Legal
http://www.jisclegal.ac.uk/ Farr institute
http://www.farrinstitute.org/ Other bodies
Ethics committees With respect are perhaps overly conservative with
regards data sharing that they perhaps even err in a way unethically!
This can be likened to the flavours of GIS Crime as outlined by Stan Openshaw.
We think we detected nonverbal positive feedback from some of the panel
4.3.20. Scientific Data Management Shyam Reyel Feedback
How many users of Nomad 400 within St Andrews http://nmr.standrews.ac.uk/nomad/
How long does it take to deploy 2 days
4.3.21. 3D Data Workflow Explore Record and Analyse 3D data Feedback
10 year sustainability plan The software will be sustainable, is the data going to survive for 10
years? How will you ensure others will be able to use your developments
4.3.22. Amased - Access methods for analysing sensitive data Becca Wilson http://www.datashield.ac.uk Feedback
It costs twice as much with FEC What infrastructure is needed to deploy data shield?
4.3.23. An intelligent On-line Data Cleaning Tool for research Data Using Neural Networks and fuzzy approaches Feedback
What is special about your data cleaning method?
4.3.24. Orcid and DOI for Theses
4.3.25. DAF Angus Whyte
4.3.26. Data Vault Moving data from active data storage to archive Feedback
How far are you already along the lines of developing Data Vault at Edinburgh? Done most of the thinking, but little or none of the doing.
Can you express what this will do in OAIS terms? Maybe use BagIT
4.3.27. Collaboration for Research Enhancement by Active Metadata (CREAM) Simon Coles Amalgamation of many projects in Group 2 Feedback
What disciplines are you going to support? Arts Geosciences Tomography Chemistry
4.3.28. Sound Matters Listening
Machine led Human led
Sonic understanding Relational playback Feedback
What is your approach to developing community? Survey existing network and others
Machine level listening Mostly proprietary Listening to the engine
Acoustic modelling in 3D
4.3.29. Meta project Chris Gutteridge Consensus workshops and Community Building Recommendations for Research Data Catalogues/Registries Creating online presence perhaps using a wiki Feedback
Working with others Surveys and plans Angus
If everyone does the same thing imperfectly it will work better than nothing and will give us something to improve upon, and discuss, and perhaps develop a good recommendation and standard further down the line… If everyone does something perfect but different it won’t work!
4.4. Feedback It seems to me that the codesign process is working if the aim is to reduce wasted
effort and encourage collaboration over competition. In this regard I think the resource taps are being controlled well and I think the
mixture of online and facetoface is helping.
I do think though that a trick was missed and we could have made good use of IdeaScale at this workshop.
5. References Jisc Codesign Challenge Area: Collaborative approach to sectorwide challenges
http://www.jisc.ac.uk/blog/collaborativeapproachtosectorwidechallenges15aug2014
Jisc Research Data Spring Project http://www.jisc.ac.uk/rd/projects/researchdataspring
Jisc Google Docs Document for chat and information https://docs.google.com/document/d/1nOwD9aWRRBJdl7sXGltm2gygR4d8dA
wBVcUAN_ORwjc/edit http://bit.ly/1LJ7Rc3
Jisc research data blog http://researchdata.jiscinvolve.org/wp/
Ethics https://docs.google.com/document/d/1CZjsJW4LIfDOJKGOqPa3876FtVY_wO
97qFptP9kjA/edit Research Data Management
https://docs.google.com/document/d/1EmZGB4cVyoK7WgL1sd2sgrmvChZPmYwTkjzzDRO91EU/edit
Directions for Research Data Management in UK Universities Meeting, Cambridge, November 2014
https://docs.google.com/document/d/1fYgYkKX0NZlBE0KJtQu5iLcaCF3xk6c1695n4AMtmVQ/edit
http://bit.ly/D4RDM14