… because good research needs good data    Digital Curation 101     University of Glamorgan        21 January 2013        ...
… because good research needs good dataAgenda • Part 1. Introduction to research data management:   activities, roles and ...
… because good research needs good data Introduction to Research DataManagement: activities, roles and         requirement...
… because good research needs good dataA Quick Introduction • What is research data management? • Who is involved and how?...
… because good research needs good dataWhat is Research Data Management?                                 •   Caring for,  ...
… because good research needs good dataTypical Activities •   Creation and sharing of data •   File naming and description...
… because good research needs good dataWhat are the main drivers? • National and international policy development    • The...
… because good research needs good dataBenefits to researchers •   Scholarly communication/access to data •   Re-purposing...
… because good research needs good dataThe researcher perspective • Managing and sharing data is simply part of good   res...
… because good research needs good dataInstitutional drivers • Safeguarding research integrity • Increasing number of FOI ...
… because good research needs good dataResearch codes of practice (1) • UK Research Integrity Office Code of Practice for ...
… because good research needs good dataResearch codes of practice (2) • RCUK Code of Conduct on the Governance of Good   R...
… because good research needs good dataResearch funding bodies • UK Research Councils   • Help fund some data archives, e....
… because good research needs good dataRCUK Principles (in a nutshell) •   Publicly funded research data should be made op...
… because good research needs good dataFunder expectations • Institutions need to inform themselves about main   funder po...
… because good research needs good dataFunder policies     http://www.dcc.ac.uk/resources/policy-and-legal/overview-funder...
… because good research needs good dataEPSRC expectations (1) • EPSRC policy (2011) expected all institutions   receiving ...
… because good research needs good dataEPSRC expectations (2)   • Appropriate metadata (including unique IDs) to be made  ...
… because good research needs good dataImplications for researchers •   Increasing number of research councils and funding...
… because good research needs good dataActivities, roles, requirements (1) • Requirements gathering    • Identifying resea...
… because good research needs good dataActivities, roles, requirements (2) • Identifying motivations and benefits    • For...
… because good research needs good dataActivities, roles, requirements (3) • Assessing institutional preparedness    • Ide...
… because good research needs good dataActivities, roles, requirements (4) • Implementation and service development    • I...
… because good research needs good dataActivities, roles, requirements (5) • Data issues:    • Appraisal: selection criter...
… because good research needs good dataWho are involved? • Funding bodies • Archives / long-term data repositories • At in...
… because good research needs good dataApproaching the Issue • What data exist and are being created? • Where are greatest...
… because good research needs good dataMaking the most of what we’ve got •   Local expertise more     widespread than you ...
… because good research needs good dataData management planning • A plan to address critical data management issues:    • ...
… because good research needs good dataIntegrating is a tricky business •   Make a sound case for investing in data manage...
… because good research needs good dataWhat the DCC can help withNeeds assessmentCARDIO Tool– collaborative assessment & b...
… because good research needs good dataExercise: How are you performing? • Individually, complete the quick data managemen...
… because good research needs good data          Part 2:Developing data policies and         services Based on a presentat...
… because good research needs good dataOutline •   Who is responsible for RDM? •   What are the components of a data servi...
… because good research needs good dataWho is responsible for RDM?                       Funders   Advisory               ...
… because good research needs good dataComponents of a research data service?           Tools              Support staff &...
… because good research needs good dataData storage – Bristol example• £2m funding to date• Petascale facility – expandabl...
… because good research needs good data Tools – an ‘academic dropbox’                                      Piloted at Linc...
… because good research needs good data  Archiving – institutional data repositories                                 Not i...
… because good research needs good data Archiving – external data centres            Research funders’ data centres…      ...
… because good research needs good dataData catalogues (metadata)                                            • DataFinder ...
… because good research needs good dataGuidance and trainingCollate guidancewww.gla.ac.uk/datamanagement                  ...
… because good research needs good dataDisciplinary training (RDMTrain)www.dcc.ac.uk/training/train-trainer/disciplinary-r...
… because good research needs good data  Early research data policies“Statement of commitment”                            ...
… because good research needs good data How are others developing policies?                               Theme from MRD w...
… because good research needs good dataPolicy development    “EPSRC expects all those it funds to have developed a clear  ...
… because good research needs good dataWhat is the EPSRC looking for?• Know what you hold – publish metadata• Link publica...
… because good research needs good dataExercise: Developing a roadmap for RDM Think about the potential components of a RD...
… because good research needs good data          Part 3DMP Online tool and guidance Based on a presentation prepared by Sa...
… because good research needs good dataFunders have DMP requirements    http://www.dcc.ac.uk/resources/policy-and-legal/ov...
… because good research needs good dataFunding body requirements • Typically a short (c.1-2 pp) statement, covering:    • ...
… because good research needs good dataDCC support • Guidance • Examples • Tools                                          ...
… because good research needs good dataWhat is DMP Online? • A web-based tool to help researchers write plans • It feature...
… because good research needs good data                                                                    Start a plan   ...
… because good research needs good data                                                                Create a plan      ...
… because good research needs good data                                                                Once funded,       ...
… because good research needs good data                                                                  When project     ...
… because good research needs good dataInstitutional customisation                             Add your logo, URL, colours...
… because good research needs good dataLinks to specific examples                                                         ...
… because good research needs good dataTop tips • Encourage researchers to start early - not wait   until the last minute!...
… because good research needs good data             Thank you!         Any questions?                Michael Day,         ...
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Digital Curation 101 (University of Glamorgan)

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Draft slides for a Digital Curation 101 session, University of Glamorgan, 21 January 2013

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  • Given the audience I’ll reflect on two pieces of DCC work: DAF tool, which has been used primarily by service providers or intermediaries to investigate what’s happening in terms of data management at the coalface and explore service gaps to see what support researchers need, and; Research funders policies, specifically in terms of data management and sharing plan requirements, as this is directly relevant to researchers
  • This talk pulls together the lessons from the DCC roadshow to consider how to develop policies and services for Research Data Management (RDM)
  • We’ll cover who is responsible for RDM and what the potential components of a research data service are. The main part of the talk will focus on how other universities are addressing certain aspects to see where you can learn lessons At the end we’ll touch on developing roadmaps in light of the EPSRC policy requirement and do an exercise on this
  • There are lots of stakeholders with varied roles, both within organisations and external to them. Requirements and support can be external (e.g. from funders, publishers, data centres) but in terms of developing infrastructure, research organisations are taking a central role. Ensuring clarity of responsibility across stakeholders and bringing people together is key.
  • *Animated slide – components come in separately* This isn’t definitive. It’s just an idea of the building blocks involved and how they might be put together. - Storage is often though of first. It should be properly backed up with appropriate access controls and ability to access from anywhere - Also need an appropriate environment for research (instruments, hardware, software, VREs) tools and systems e.g. for grants - Aside from current work environments, we also need to consider facilities for archiving to preserve and share data - There’s an inherent need to access/share data, so we need standards, tools and approaches for metadata across the lifecycle - We have the basics of a system, but none of this works without people to keep things running and provide guidance and training - Also need policies to provide overarching governance - And to ensure uptake and maintenance you need buy-in across the board, incentives and financial backing We’ll now consider how different institutions are addressing certain aspects of this.
  • The data.bris team gave a case study at the DCC Roadshow in Cardiff in December 2011. This details here are abstracted from that talk. They are building research data services around their High Performance Computing facility to provide all researchers with adequate storage for their research data. The key things to note is the cost model – they provide a clear, up-front cost so additional storage can be written into proposals. Other Universities (Oxford, Leicester) have produced similar figures
  • A few institutions already run data repositories e.g. Edinburgh and Cambridge (both DSpace) Others are piloting them e.g. Essex and Southampton (doing extensions to existing ePrints repositories as part of JISC MRD02 programme) and Databank at Oxford. Key thing is that none of these services intend to replace established data services. Where there are more appropriate disciplinary data centres, for example, the data should be submitted there.
  • There are many external services – dedicated data centres supported by research funders and various structured databases and community initiatives. The list of data centres provided by DataCite is a useful reference for institutions and researchers to identify the most appropriate place of deposit.
  • This area is the aspect most in its infancy. No institutions appear to have a handle on exactly what research data they hold in order to systematically register & manage data, and expose appropriate metadata to facilitate sharing. However, several UK institutions have flagged a desire to develop institutional data catalogues so models are likely to emerge. EDINA at the University of Edinburgh started to investigate approaches in the RADAR project. A pertinent project to look at is C4D, which is developing an extension to the cerif standard to record information on research data. Research Data Australia – a discovery service for research data from Australian universities supported by ANDS – is a model the DCC is looking at to see how a similar service could be provided in the UK.
  • There are many examples of guidance and training – most are Creative Commons licensed so you can repurpose them. At the University of Glasgow, the Incremental project pulled together details of existing support to raise awareness of services that tended to be missed or misunderstood. Mantra provided excellent online training modules, as did other JISC RDMTrain projects. A current trend is to embed RDM into existing curricula e.g. core PhD skills courses. The research360 project is collaborating with a Doctoral Training Centre and reflect on this in their blog
  • Lots of training materials have been created on the JISC MRD programme. The outputs from the 5 disciplinary training projects are all freely available to reuse and are deposited in JORUM. We have mapped the modules & materials to the DCC lifecycle model to help people find relevant resources.
  • There are five institutional RDM policies at present (April 2012). These differ in approach: Oxford University doesn’t have a policy per se. They collaborated with the University of Melbourne on the EIDCSR project (c.2009) and realised that implementation is a stumbling block so first introduced a Statement of Commitment until infrastructure was developed. A proper policy is being developed on the DaMaRO project. The University of Edinburgh’s policy is exemplary and seems to be the biggest influence on policy development at other institutions. It was written by an external consultant (Chris Rusbridge) and is described as aspirational as they know there’s some way to go to make it a reality. The University of Hertfordshire has RDM requirements as part of a wider data management policy. The language/style is more legal, however an appendix provides much more practical guidance on data management. The University of Northampton reiterates the RCUK Code as its guiding principle and usefully provides guidance on procedures and support to explain how the policy should be implemented. An the University of East London has taken the Edinburgh policy as a model and made minor adjustments and additions – rewording, adding data review dates etc
  • Other universities are sharing lessons about how they are developing policy. We pulled together examples of how policies were being developed in December. The news post has links to blogs and draft policy texts. There was a JISC MRD workshop on policy development in Leeds in March 2012. Suggestion to have a high-level policy (fairly generic) and accompanying user guides & support (which won’t need to go through the whole ratification process each time they’re changed) Detailed guidance for implementation may be better at a departmental / group level
  • Uppermost on many minds at the moment is the requirement to develop a roadmap in response to the EPSRC. So what is a roadmap and where do you start? The key thing isn’t this outcome (i.e. the plan) rather the process of getting there – taking stock of your current position and realising what you need to do to be in a position to comply with the EPSRC policy in 3 years so you can plan for that activity.
  • The EPSRC policy is more specific than others in terms of what institutions should be doing e.g. register data, put metadata online within 12 months of creation, access = longer period of preservation... Looking for data to be shared (linked to publications) and curated/preserved to ensure ongoing access. These requirements are essentially the same as other funders, so don’t be too blinkered by what the EPSRC is looking for specifically.
  • In the exercise, please consider the potential components of a RDM service which we’ve covered here and the strengths and weaknesses you identified earlier in the CARDIO quiz to decide what you need to do, when and how.
  • I’ll give a quick over view to DCC’s main tools DMP Online is a tool to help researchers write plans. It pulls together the various requirements and relevant support to make the process easier.
  • I recommend this ICPSR resource It explains the importance of different questions as a pointer to how to answer Examples are given. This is the most frequent request we get at DCC - examples help researchers think of what to write for their context
  • Digital Curation 101 (University of Glamorgan)

    1. 1. … because good research needs good data Digital Curation 101 University of Glamorgan 21 January 2013 Michael Day Digital Curation Centre UKOLN, University of Bath m.day@ukoln.ac.uk http://www.dcc.ac.uk/ Funded by:DCC 101, University of Glamorgan, 21 January 2013
    2. 2. … because good research needs good dataAgenda • Part 1. Introduction to research data management: activities, roles and requirements • Exercise: Data management quiz • Part 2. Developing data policies and services • Exercise: Developing a roadmap • Part 3: DMP Online tool and guidance • With thanks to Joy Davidson, Sarah Jones and Kerry Miller (DCC) Funded by: DCC 101, University of Glamorgan, 21 January 2013
    3. 3. … because good research needs good data Introduction to Research DataManagement: activities, roles and requirements Michael Day and Kerry Miller Digital Curation Centre UKOLN, University of Bath m.day@ukoln.ac.uk http://www.dcc.ac.uk/ Funded by: DCC 101, University of Glamorgan, 21 January 2013
    4. 4. … because good research needs good dataA Quick Introduction • What is research data management? • Who is involved and how? • What skills and support are needed? Funded by: DCC 101, University of Glamorgan, 21 January 2013
    5. 5. … because good research needs good dataWhat is Research Data Management? • Caring for, • Facilitating access to, • Preserving and • Adding value to digital research data throughout its lifecycle. Funded by: DCC 101, University of Glamorgan, 21 January 2013
    6. 6. … because good research needs good dataTypical Activities • Creation and sharing of data • File naming and description • Dealing appropriately with sensitive data • Data storage • Appraisal, selection and disposal • Data licensing • Data management planning Funded by: DCC 101, University of Glamorgan, 21 January 2013
    7. 7. … because good research needs good dataWhat are the main drivers? • National and international policy development • The Organisation for Economic Co-operation and Development describes data as a public good that should be made available • Research Councils UK in its Code of Good Research Conduct says data should be preserved and accessible for 10 years + • The data management policies of funding bodies are increasingly demanding of institutional commitment and provisions ... • The needs of • Researchers • Institutions Funded by: DCC 101, University of Glamorgan, 21 January 2013
    8. 8. … because good research needs good dataBenefits to researchers • Scholarly communication/access to data • Re-purposing and re-use of data • Stimulating new networks/collaborations & • new research • Knowledge transfer to industry • Verification of research/research integrity • Re-purposing data for new audiences • Secure storage for data intensive research • Availability of data underpinning journal articles • Increased visibility/citation Keeping Research Data Safe Factsheet Keeping Research Data Safe Factsheet http://www.beagrie.com/KRDS_Factsheet_0910.pdf http://www.beagrie.com/KRDS_Factsheet_0910.pdf Funded by: DCC 101, University of Glamorgan, 21 January 2013
    9. 9. … because good research needs good dataThe researcher perspective • Managing and sharing data is simply part of good research: • Adhering to disciplinary and/or institutional codes of practice and policies • Has been practiced since the advent of modern science, but not always consistently; data intensive research makes it even more critical • Meeting the specific requirements of funding bodies • Reputational risks if data management is not handled properly Funded by: DCC 101, University of Glamorgan, 21 January 2013
    10. 10. … because good research needs good dataInstitutional drivers • Safeguarding research integrity • Increasing number of FOI requests for data • Adhering to existing codes of research practice and ethics • Developing new institution-wide strategies, policies and services for data storage and management • Increased institutional focus on research management (e.g., in response to REF) • Benchmarking – self-assessing infrastructure and planning for improvement • More demands but less resources to work with Funded by: DCC 101, University of Glamorgan, 21 January 2013
    11. 11. … because good research needs good dataResearch codes of practice (1) • UK Research Integrity Office Code of Practice for Research (2009) Data management planning is an essential part of research design Organisations should have in place procedures, resources (including physical space) and administrative support to assist researchers in the accurate and efficient collection of data and its storage in a secure and accessible form [3.12.5] Funded by: DCC 101, University of Glamorgan, 21 January 2013
    12. 12. … because good research needs good dataResearch codes of practice (2) • RCUK Code of Conduct on the Governance of Good Research Conduct (2011) Primary data and research evidence [should be made] accessible to others for reasonable periods after the completion of the research: data should normally be preserved and accessible for 10 yrs (in some cases 20 yrs or longer) Responsibility for proper management and preservation of data and primary materials is shared between the researcher and the research organisation [although deposit within national collections is endorsed] Funded by: DCC 101, University of Glamorgan, 21 January 2013
    13. 13. … because good research needs good dataResearch funding bodies • UK Research Councils • Help fund some data archives, e.g.: • Archaeology Data Service, European Bioinformatics Institute, the NERC data centres, UK Data Archive • Support for JISC (and DCC) • RCUK Common Principles on Data Policy • Recognises that data are a critical output of the research process http://www.rcuk.ac.uk/research/Pages/DataPolicy.aspx Funded by: DCC 101, University of Glamorgan, 21 January 2013
    14. 14. … because good research needs good dataRCUK Principles (in a nutshell) • Publicly funded research data should be made openly available • Data with acknowledged long-term value should be preserved and remain accessible and usable for future research • Sufficient metadata should be recorded to enable other researchers to find and understand the research to enable re-use; published results should always include information on how to access the supporting data • Recognition that there may be legal, ethical and commercial constraints • Recognition that researchers may need privileged use of data for a limited period • All users of research data should acknowledge their sources • Appropriate to use public funds to support MRD Funded by: DCC 101, University of Glamorgan, 21 January 2013
    15. 15. … because good research needs good dataFunder expectations • Institutions need to inform themselves about main funder policies (mandates) with respect to research data management • There is an explicit link between research income and appropriate data management infrastructures Funded by: DCC 101, University of Glamorgan, 21 January 2013
    16. 16. … because good research needs good dataFunder policies http://www.dcc.ac.uk/resources/policy-and-legal/overview-funders-data-poli Funded by: DCC 101, University of Glamorgan, 21 January 2013
    17. 17. … because good research needs good dataEPSRC expectations (1) • EPSRC policy (2011) expected all institutions receiving grant funding: • To develop a roadmap aligning their policies and processes with EPSRC’s expectations by 1st May 2012 • To be fully compliant with these expectations by 1st May 2015 Funded by: DCC 101, University of Glamorgan, 21 January 2013
    18. 18. … because good research needs good dataEPSRC expectations (2) • Appropriate metadata (including unique IDs) to be made freely available on the Internet within 12 months of data generation • Data not generated in digital format should be stored in a manner to facilitate it being shared • Data should be securely preserved for a minimum of 10 years after privileged access expires or the last date access was requested by a third party • Adequate resources from existing funding streams • EPSRC will monitor progress and compliance, and reserves the right to impose appropriate sanctions Funded by: DCC 101, University of Glamorgan, 21 January 2013
    19. 19. … because good research needs good dataImplications for researchers • Increasing number of research councils and funding bodies with data management and sharing requirements • Potential loss of research income if these mandates are not met • Need to determine the costs associated with short and longer-term management and curation and to request funds as part of grant • Responsibility for infrastructure shifting more to HEIs and less to centralised data archives, but institutional infrastructures and services are still emerging • Need guidance - some good external support • But also need more local support; often fragmented (need to draw upon existing channels within your institution wherever possible) Funded by: DCC 101, University of Glamorgan, 21 January 2013
    20. 20. … because good research needs good dataActivities, roles, requirements (1) • Requirements gathering • Identifying researchers’ data requirements • Developing a shared understanding of what needs to be done (e.g., identifying where data exist, its form and scale, any existing retention requirements) • Identifying good practice within the institution (and the opposite) • Methods: surveys, focus groups, case studies, joint R&D projects, assessment tools (e.g. DAF) Funded by: DCC 101, University of Glamorgan, 21 January 2013
    21. 21. … because good research needs good dataActivities, roles, requirements (2) • Identifying motivations and benefits • For researchers, support services, the institution • Identifying risks • Data loss (institution, research group, individual) • Increased costs (lack of planning, service inefficiency, data loss) • Legal compliance (research funder, H&S, ethics, FoI) • Reputation (institution, unit, individual) • Identifying costs • Keeping Research Data Safe (KRDS) toolkit Funded by: DCC 101, University of Glamorgan, 21 January 2013
    22. 22. … because good research needs good dataActivities, roles, requirements (3) • Assessing institutional preparedness • Identifying institutional stakeholders, existing data support services, gaps • Benchmarking and planning for the future • Skills audit • DCC CARDIO tool • Policy development • Policies – approval by senior management is just the start; policies need to be embedded in research practice and responsive to changing requirements • Data management planning • DMP online, DCC How-to Develop a Data Management Plan guide Funded by: DCC 101, University of Glamorgan, 21 January 2013
    23. 23. … because good research needs good dataActivities, roles, requirements (4) • Implementation and service development • Integrating where possible with existing services, e.g. IR, CRIS, VRE, HPC, cloud services, social media, etc. • Appraisal, deciding what needs to be kept and for how long • Storage choices – no one-size-fits-all solution, e.g. Bristol’s BluePeta petascale storage facility, Bath’s X-Drive approach, cloud approaches • Data documentation and metadata – layered approaches: top-level discovery (core metadata, collection/experiment- level?), role of standards like DCMI, CERIF, DDI, etc. Funded by: DCC 101, University of Glamorgan, 21 January 2013
    24. 24. … because good research needs good dataActivities, roles, requirements (5) • Data issues: • Appraisal: selection criteria, retention periods (who decides?) • DCC How to appraise and select research data for curation guide • Documentation: metadata, schema, semantics • Formats: proprietary formats, community standards, etc. • Provenance and authenticity • Citation (assignment of persistent IDs?) • Access (embargo policies?) • Licensing • DCC How to license research data guide Funded by: DCC 101, University of Glamorgan, 21 January 2013
    25. 25. … because good research needs good dataWho are involved? • Funding bodies • Archives / long-term data repositories • At institutions: • Senior management • Researcher(s) • Research support officers / project staff • Lab technicians • Librarians / Data Centre staff • Faculty ethics committees • Institutional legal / IP advisors • FOI officer / DPA officer / records manager • Computing support • Institutional compliance officers Funded by: DCC 101, University of Glamorgan, 21 January 2013
    26. 26. … because good research needs good dataApproaching the Issue • What data exist and are being created? • Where are greatest recoups on investment available? • Training? • Storage? • Policy development • What are the requirements? • Who needs to be involved? Funded by: DCC 101, University of Glamorgan, 21 January 2013
    27. 27. … because good research needs good dataMaking the most of what we’ve got • Local expertise more widespread than you think • Ethics committees • Data protection office • IT Services • Repository Service • If you need help, ask! From University of Glasgow’s Data Management micro-site Funded by: DCC 101, University of Glamorgan, 21 January 2013
    28. 28. … because good research needs good dataData management planning • A plan to address critical data management issues: • What data will be created (format, types) and how? • How will the data be documented and described? • How will ethics and intellectual property considerations be addressed? • What are the plans for data sharing and access? • What is the strategy for long-term preservation? Funded by: DCC 101, University of Glamorgan, 21 January 2013
    29. 29. … because good research needs good dataIntegrating is a tricky business • Make a sound case for investing in data management training • Draw upon existing policies and mandates wherever you can • Spend some time identifying current data holdings, researchers’ practice and future training needs • Make sure you are putting your effort where it will count • Don’t reinvent the wheel – augment or adapt existing training and support materials with data management aspects Funded by: DCC 101, University of Glamorgan, 21 January 2013
    30. 30. … because good research needs good dataWhat the DCC can help withNeeds assessmentCARDIO Tool– collaborative assessment & benchmarking ofRDM strengths/weaknessesData Asset Framework – interviews to scope current RDMpractice and recommend improvements Developing strategic institutional RDM frameworkWorkflow assessment – methodology for analysing current Strategy development – getting key people together to discuss/plan forRDM workflows RDM Policy development – scoping, defining, embedding research data policiesDelivering support Costing - assist with the development of costing and pricing for RDMCustomised Data Management Plans – templates / guidance to servicesbe added to DMP Online Risk management - identify risks in RDM practice and recommendTraining – institutional/disciplinary tailored courses, online mitigationsresources Institutional data catalogues - recommend options for exposing metadataIncremental – repackaging existing support to raise awareness about your research data via CRIS systems, repositories, or a mix of theseand make guidance more meaningful to researchers Funded by: DCC 101, University of Glamorgan, 21 January 2013
    31. 31. … because good research needs good dataExercise: How are you performing? • Individually, complete the quick data management quiz (5 mins) • Compare results, try to learn from those with confidence in those areas in which you consider yourself to be weaker (10 mins) • Based on your group’s discussions... • Write down one practical thing you can do at work in order to edge towards an A. Funded by: DCC 101, University of Glamorgan, 21 January 2013
    32. 32. … because good research needs good data Part 2:Developing data policies and services Based on a presentation prepared by Sarah Jones (Digital Curation Centre) sarah.jones@glasgow.ac.uk Funded by: DCC 101, University of Glamorgan, 21 January 2013
    33. 33. … because good research needs good dataOutline • Who is responsible for RDM? • What are the components of a data service? • Learning lessons from other HEIs • Developing roadmaps Funded by: DCC 101, University of Glamorgan, 21 January 2013
    34. 34. … because good research needs good dataWho is responsible for RDM? Funders Advisory Data bodies centres Research Organisations Support Publishers services Researchers Funded by: DCC 101, University of Glamorgan, 21 January 2013
    35. 35. … because good research needs good dataComponents of a research data service? Tools Support staff & services Metadata and documentation Research Archive environment& Storage systems Preserve Back-up RDM policies & Share Access Advocacy (senior mgmt & researcher) Funded by: DCC 101, University of Glamorgan, 21 January 2013
    36. 36. … because good research needs good dataData storage – Bristol example• £2m funding to date• Petascale facility – expandable• 3 machine rooms – resilience (tape archive 2012)• Available to all researchers for research data Blue Peta at Bristol 1st 5TB free per Data Steward then £400 per TB p.a. for disk storage; tape backup £40 per TB http://data.bris.ac.uk Funded by: DCC 101, University of Glamorgan, 21 January 2013
    37. 37. … because good research needs good data Tools – an ‘academic dropbox’ Piloted at Lincoln & Edinburghwww.dataflow.ox.ac.uk http://tiny.cc/owncloud-pilot National level negotiation via Janet brokerage? Funded by: DCC 101, University of Glamorgan, 21 January 2013
    38. 38. … because good research needs good data Archiving – institutional data repositories Not intended to replace national, subject or other established data collectionshttp://datashare.is.ed.ac.uk Essex-RDR and Acknowledgment of hybrid DataPool at Southampton environment www.dspace.cam.ac.uk/ https://databank.ora.ox.ac.uk Funded by: DCC 101, University of Glamorgan, 21 January 2013
    39. 39. … because good research needs good data Archiving – external data centres Research funders’ data centres… Structured databasesDisciplinary& community List of data centres: initiatives http://databib.org Funded by: DCC 101, University of Glamorgan, 21 January 2013
    40. 40. … because good research needs good dataData catalogues (metadata) • DataFinder at OxfordDevelop a research data • DDI metadata byextension to the CERIF standard ResearchData@Essexhttp://cerif4datasets.wordpress.comJISC & DCC planning national coordination Can we learn lessons from overseas? Funded by: DCC 101, University of Glamorgan, 21 January 2013
    41. 41. … because good research needs good dataGuidance and trainingCollate guidancewww.gla.ac.uk/datamanagement Online training http://datalib.edina.ac.uk/mantra Embed into curriculum via Doctoral Training Centres e.g. Research360@Bath http://blogs.bath.ac.uk/research360 Funded by: DCC 101, University of Glamorgan, 21 January 2013
    42. 42. … because good research needs good dataDisciplinary training (RDMTrain)www.dcc.ac.uk/training/train-trainer/disciplinary-rdm-training Funded by: DCC 101, University of Glamorgan, 21 January 2013
    43. 43. … because good research needs good data Early research data policies“Statement of commitment” legal compliance style Infrastructure  policy a section in uni DM policy useful guide as appendix “10 commandments” mutual promises aspirational Based on Edin. with a fewBaseline of RCUK Code additions+ procedures & support www.dcc.ac.uk/resources/policy-and-legal/institutional- Funded by: data-policies DCC 101, University of Glamorgan, 21 January 2013
    44. 44. … because good research needs good data How are others developing policies? Theme from MRD workshop in Leeds: High level policy (ratified) + User guides, practical support + RDM InfrastructureDeveloping data policies: a trend for 2012 http://tiny.cc/MRD-policy-workshophttp://tiny.cc/PolicyNews (news post from Dec 2011) Funded by: DCC 101, University of Glamorgan, 21 January 2013
    45. 45. … because good research needs good dataPolicy development “EPSRC expects all those it funds to have developed a clear roadmap to align their policies and processes with EPSRC’s expectations by 1st May 2012, and to be fully compliant with these expectations by 1st May 2015.”www.epsrc.ac.uk/about/standards/researchdata/Pages/impact.aspx Funded by: DCC 101, University of Glamorgan, 21 January 2013
    46. 46. … because good research needs good dataWhat is the EPSRC looking for?• Know what you hold – publish metadata• Link publications and data• Share data wherever possible http://tiny.cc/ EPSRC-data-policy• Curate and preserve valuable data The same as other funders (i.e. good research practice) so think broadly when you develop your strategy Funded by: DCC 101, University of Glamorgan, 21 January 2013
    47. 47. … because good research needs good dataExercise: Developing a roadmap for RDM Think about the potential components of a RDM service Based on the strengths/weaknesses you identified in the quiz: • Draft a list of actions needed at your institution • Attempt to prioritise your list and pencil in timeframes (consider quick wins!) • Decide who needs to be involved to make this happen? Funded by: DCC 101, University of Glamorgan, 21 January 2013
    48. 48. … because good research needs good data Part 3DMP Online tool and guidance Based on a presentation prepared by Sarah Jones and Joy Davidson (DCC) sarah.jones@glasgow.ac.uk Funded by: DCC 101, University of Glamorgan, 21 January 2013
    49. 49. … because good research needs good dataFunders have DMP requirements http://www.dcc.ac.uk/resources/policy-and-legal/overview-funders-data-policies Funded by: DCC 101, University of Glamorgan, 21 January 2013
    50. 50. … because good research needs good dataFunding body requirements • Typically a short (c.1-2 pp) statement, covering: • What data will be created (format, types, volume, avoidance of duplication) • Standards and methodologies to be used (including metadata) • How ethics and Intellectual Property will be addressed • Plans for data sharing and access • Strategy for long-term preservation Funded by: DCC 101, University of Glamorgan, 21 January 2013
    51. 51. … because good research needs good dataDCC support • Guidance • Examples • Tools Funded by: DCC 101, University of Glamorgan, 21 January 2013
    52. 52. … because good research needs good dataWhat is DMP Online? • A web-based tool to help researchers write plans • It features: • Templates based on different requirements • Tailored guidance (disciplinary, funder etc) • Customised exports to a variety of formats • Ability to share DMPs with others • https://dmponline.dcc.ac.uk Funded by: DCC 101, University of Glamorgan, 21 January 2013
    53. 53. … because good research needs good data Start a plan Pick relevant funder templateGet a list of their specific questions Funded by: DCC 101, University of Glamorgan, 21 January 2013
    54. 54. … because good research needs good data Create a plan at the bid stage...answerthequestionsbased oninitialresearch Funded by:ideas DCC 101, University of Glamorgan, 21 January 2013
    55. 55. … because good research needs good data Once funded, flesh the plan out (roles, etc)...answerthequestionsbased ondetailed Funded by:workplan DCC 101, University of Glamorgan, 21 January 2013
    56. 56. … because good research needs good data When project is finished...answerthequestionsbased onthe outputsthat are Funded by:beingkept DCC 101, University of Glamorgan, 21 January 2013
    57. 57. … because good research needs good dataInstitutional customisation Add your logo, URL, colours Profile local support, boilerplate text Select desired questions http://www.dcc.ac.uk/blog/tailoring-dmp-online-for-your-institution Funded by: DCC 101, University of Glamorgan, 21 January 2013
    58. 58. … because good research needs good dataLinks to specific examples Thinks about why the questions are being asked – what are funders looking for? Gives examples, local if possible http://www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/framewo Funded by: DCC 101, University of Glamorgan, 21 January 2013
    59. 59. … because good research needs good dataTop tips • Encourage researchers to start early - not wait until the last minute! • The plan will - and should - change over life of project. • Get other support staff involved - ethics, IT, library, RM, DP/FoI • Update the plan with project updates • Use plan as a communication tool - with partners, funding bodies and yourself! Funded by: DCC 101, University of Glamorgan, 21 January 2013
    60. 60. … because good research needs good data Thank you! Any questions? Michael Day, Digital Curation Centre UKOLN, University of Bath m.day@ukoln.ac.uk http://www.dcc.ac.uk/ Funded by:DCC 101, University of Glamorgan, 21 January 2013
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