Research Data Management Services at UWA (November 2015)
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Research Data Management Services at the University of Western Australia (November 2015). Created by Katina Toufexis of the eResearch Support Unit (University Library). CC-BY
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Research Data Management Services at UWA (November 2015)
- 1. Research Data Management Services Katina Toufexis Research Data Coordinator eResearch Support Unit University Library katina.toufexis@uwa.edu.au 6488 5319
- 2. Research Data Management 1.Manage your data 2.Store your data 3.Share your data
- 3. Supporting Data @ UWA www.library.uwa.edu.au/ research/services
- 4. What are we covering today? • What is Research Data? • Why should you care about Research Data Management? • What services does the Library offer? • Data Management Planning help • Storage • UWA’s IRDS • Pawsey Supercomputing (Luke Edwards) • Sharing your data
- 5. What is Research Data? Journal article Data? What data? Book http://cdn.list25.com/wp-content/uploads/2013/03/Slide173.jpg
- 6. What do we mean by research data? What is Research Data? It is not possible to apply a uniform definition of research data across all disciplines. Research data may be numerical, textual, audio-visual, digital or physical, depending on the discipline and the nature of the research.
- 7. What do we mean by digital research data? What is Digital Research Data? Observational Experimental Simulation Derived or Compiled Reference or Canonical Images: http://www.designweek.co.uk/news/kram/weisshaar-visualises-big-data/3037975.article; http://www.auntminnie.com/user/images/content_images/sup_mol/2010_07_30_15_55_33_600_PET_CT_MRI_02_450.jpg; http://2.bp.blogspot.com/- k35MuQYvTZA/TbTov-2kdRI/AAAAAAAAADE/oBF-FZPM6Wo/s400/multivariate.jpg; http://labs.openviewpartners.com/files/2012/05/graph_with_stacks_of_coins-e1349903025956.jpg; http://www.dpgp.org/syntenic_assembly/images/CG15386.png; http://www.matrixscience.com/images/dbmanager_2.gif
- 8. Humanities Research Data? What is Research Data? Artist’s statement Exhibition catalogues Critical reviews Visual diaries Journals Drawings Photographs Manuscripts Musical annotations 3D models Audio-visual recordings of a creative work http://ands.org.au/presentations/index.html
- 9. The Data Deluge “Data is more like soup – it’s messy and you don’t know what’s in it.” – Liz Lyon (UK DCC) “I worry there won't be enough people around to do the analysis.” –Chris Ponting (University of Oxford UK, Computational biologist) “A single DNA sequencer can now generate in a day what it took 10 years to collect for the Human Genome Project. Computers are central to archiving and analysing this information, but their processing power isn’t increasing fast enough, and their costs are decreasing too slowly, to keep up with the deluge.” - Elizabeth Pennisi (Science Author)
- 10. When should I think about Research Data? Research Lifecycle – incorporating research data management
- 11. Benefits of Research Data Management • Meets Compliance • Promotes Efficiency • Ensures Security • Allows Access • Improves Quality Why should YOU care about research data?
- 12. Research Data Management 101 Benefits of Research Data Management
- 13. Research Data Management 101 Security – Risk. Where is your data? – Safeguards against data loss. – Ensures confidentiality and ethical compliance. – Guarantees legal compliance to intellectual property rights such as copyright. Why protect your data?
- 14. Research Data Management 101 Benefits of Research Data Management Allows for data replication or reproducibility. Increases the accuracy or reliability of the data. Improves research data integrity. Improves research process. Encourages systematic documentation and descriptions of the research data. Provides guidelines and procedures ensuring consistency. Allows data validation and verification. Enables collaborative research opportunities. Prevents duplication. Allows data sharing and future reuse. Increases researcher citations.
- 15. Research Data Management 101 Benefits of Research Data Management
- 16. OECD cares about research data Access to research data increases the returns from public investment in this area; reinforces open scientific inquiry; encourages diversity of studies and opinion; promotes new areas of work and enables the exploration of topics not envisioned by the initial investigators. (OECD principles and guidelines for access to research data from public funding 2007) http://www.oecd.org/sti/sci-tech/oecdprinciplesandguidelinesforaccesstoresearchdatafrompublicfunding.htm
- 17. Governments care about research data The Australian Government now declares that, in order to promote greater participation in Australia’s democracy, it is committed to open government based on a culture of engagement, built on better access to and use of government held information, and sustained by the innovative use of technology. Declaration of Open Government
- 18. Governments care about research data
- 19. Governments care about research data “Open access to information held by the State Government will help stimulate the development of new, innovative applications by all sorts of private individuals, companies and non-government organisations” – Campbell Newman 9 Oct 2012 http://statements.qld.gov.au/Statement/2012/10/9/queensland- governments-open-data-revolution-begins
- 20. Governments care about research data “This declaration commits the government to proactively release data. Government data will be open by default; proactively released by government in accordance with international best practice.” – HonJay Weatherill MP, Sept 2013 http://dpc.sa.gov.au/sites/default/files/pubimages/documents/Signed-Declaration-of-Open-Data.pdf
- 21. FUNDERS care about research data Australian Code for the Responsible Conduct of Research (NHMRC, ARC and Universities Australia 2007) Section 2: Management of Research Data & Primary Materials “The responsible conduct of research includes the proper management and retention of the research data. …The central aim is that sufficient materials and data are retained to justify the outcomes of the research and to defend them if they are challenged. The potential value of the material for further research should also be considered, particularly where the research would be difficult or impossible to repeat.” https://www.nhmrc.gov.au/guidelines/publications/r39
- 22. INSTITUTIONS care about research data UWA Code of Conduct for the Responsible Practice of Research http://www.research.uwa.edu.au/staff/research-policy/guidelines Section 2 refers to the management of research data and primary materials and states: 2.1 Data (including electronic data) must be recorded in a durable and appropriately referenced form. 2.2 Data must be held for sufficient time to allow access and reference. Recommended a minimum 5 years from date publication, but up to 15 years for specific types (eg clinical studies) 2.3 Wherever possible, original data must be retained in the school or research centre in which it was generated... In all cases, prior to the publication of research findings a Location of Data Form must be completed. These guidelines should be seen as a framework for sound research practice and for the protection of individual research workers, including both staff and postgraduate research students, from possible misunderstandings.
- 23. ARC Discovery Grant requirements, February 2014: MANAGEMENT OF DATA Outline plans for the management of data produced as a result of the proposed research, including but not limited to storage, access and re-use arrangements. FUNDERS care about research data
- 24. NHMRC Statement on Data Sharing, July 2015: Data Sharing NHMRC encourages data sharing and providing access to data and other research outputs (metadata, analysis code, study protocols, study materials and other collected data) arising from NHMRC supported research. FUNDERS care about research data • NHMRC encourages researchers to disseminate and share their research data through publicly accessible databases or repositories • Limitations? • ethics (particularly consent), legal, IP • data format and standards, variable ontologies used to describe data
- 25. FUNDERS care about research data https://www.nhmrc.gov.au/gr ants-funding/policy/nhmrc- statement-data-sharing
- 26. The Public Library of Science PLOS Data Sharing policy: PLOS journals require authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception. From March 2014, you will need to include a “data availability statement” when you submit your article, explaining where and how your data can be accessed. PUBLISHERS care about research data http://www.plosone.org/static/policies#sharing
- 27. Nature “An inherent principle of publication is that others should be able to replicate and build upon the authors' published claims. Therefore, a condition of publication in a Nature journal is that authors are required to make materials, data and associated protocols promptly available to readers without undue qualifications”. PUBLISHERS care about research data http://www.nature.com/authors/policies/availability.html
- 28. BMJ In Jan 2013 The BMJ was one of the first medical journals to require sharing of individual patient data for trials of drugs or devices. Our initial data sharing policy focused on trials of drug and devices because many high profile, serious allegations of selective or non-reporting of trial results related to such products. From 1 July 2015 The BMJ will extend its requirements for data sharing to apply to all submitted clinical trials, not just those that test drugs or devices. PUBLISHERS care about research data http://www.bmj.com/content/350/bmj.h2373
- 29. British Journal of Educational Technology “BJET strongly encourages authors of articles describing empirical research to make their data available to others, for example through an institutional or other repository. If this is not possible then it will not necessarily preclude publication in the Journal, but you should note that it is one of the criteria by which your work will be assessed.”. PUBLISHERS care about research data
- 30. Nature Journals: Scientific Data Journal Dataset-ONLY journals PUBLISHERS care about research data http://www.nature.com/sdata/
- 31. What about the Humanities?? PUBLISHERS care about research data Archives of Scientific Psychology
- 32. DATA REUSE and Open Data Citation advantages The citation benefit intensified over time... ...with publications from 2004 and 2005 cited 30 per cent more often if their data was freely available. Every 100 papers with open data prompted 150 "data reuse papers" within five years Original authors tended to use their data for only two years, but others re-used it for up to six years. Piwowar HA, Vision TJ. (2013) Data reuse and the open data citation advantage. PeerJ 1:e175 http://dx.doi.org/10.7717/peerj.175
- 33. Supporting Data @ UWA www.library.uwa.edu.au/ research/services
- 34. Creating a Research Data Management Plan
- 35. Creating a Research Data Management Plan The Data Management Plan is: • an online form • uses the Qualtrics survey platform • Asks relevant questions pertaining to your research data • Sends you an electronic plan directly to your email after completion
- 36. Research Data Management Toolkit http://www.library.uwa. edu.au/ research/ research-data- management-toolkit
- 37. IRDS – Data Storage at UWA
- 39. IRDS – New developments “Any Stores with less than 50% usage for longer than 3 months will be automatically reduced in size.”
- 40. Access to External Collaborators IRDS – New developments Pheme authentication provided to external collaborators via HR Form: http://www.hr.uwa.edu.au/__data/as sets/pdf_file/0006/2172606/Comme ncement_of_Non- university_Staff.pdf
- 41. • All data and associated information created in the course of conducting research is subject to the UWA Policy on Records Management. • All research records must be retained in accordance with the WA University Sector Disposal Authority. • Retention periods range from a minimum of 7 years to permanent depending on the significance and type of research. • Information can be kept longer if required but must not be destroyed before the required minimum retention period. Information Governance Services Retention and Disposal of Research Data
- 42. How long must research data be kept?
- 43. IRDS vs Dropbox • UWA’s Information Governance Services (IGS) provide guidance on using public cloud storage. – http://www.igs.uwa.edu.au/policies/guides/auth/cloud-storage
- 44. IRDS vs Dropbox • University Policy on: Institutional Data Centre • University Policy on: Records Management • Computer and Software Use Regulations • University Policy on: Records Management • UWA Code of Conduct for the Responsible Practice of Research • UWA Recordkeeping Plan • Western Australian University Sector Disposal Authority • Australian Code for the Responsible Conduct of Research • University’s Policy on Privacy of Electronic Material
- 47. Supporting Data @ UWA www.library.uwa.edu.au/ research/services
- 48. Research Data Online (RDO)
- 49. Research Data Online (RDO) • Publicly accessible • Discoverable • Harvested into RDA • DOIs OR Locally generated handles
- 50. Research Data Online (RDO)
- 51. Research Data Online (RDO) RDO (UWA) RDA (ANDS)
- 52. What about in Australia?
- 53. What about in Australia?
- 54. What about in Australia?
- 55. DISCOVERABLE RDO vs IRDS ?? Institutional Research Data Store (IRDS) Research Data Online (RDO)
- 56. Hooper, CM; Castleden IR; Aryamanesh N; Jacoby RP; Millar AH, (2015): The compendium of crop Proteins with Annotated Locations (cropPAL) version 1. The University of Western Australia. http://dx.doi.org/10.4225/23/556e4e260e093 Research Data Online (RDO)
- 57. Research Data Online (RDO) Publications Data Data connections can be counted Images: http://www.bigdatarevolutionbook.com/ , http://auditfutures.org/publications/
- 58. Research Data Online (RDO) Publications Data Data connections can be counted Images: http://www.bigdatarevolutionbook.com/ , http://auditfutures.org/publications/
- 59. Research Data Online (RDO) Senior Librarians will help you establish your ORCID account
- 60. Toolkit RDO Submitter’s Quick Start Guide
- 61. Research Data Online (RDO) http://www.ersa.edu.au/sites/default/fil es/research-data-sharing-lr.jpg
- 62. AUSGOAL Licences Licensing your data http://www.ausgoal.gov.au /creative-commons-v4.0
- 63. Licence Chooser Tool Licensing your data http://www.ausgoal.gov.au/licence-chooser Currently Offline Licence Chooser Tool http://creativecommons.org/choose/
- 64. Contacts Questions? Katina Toufexis Research Data Coordinator katina.toufexis@uwa.edu.au 6488 5319 http://ands.org.au/presentations/index.html Senior Librarian for your Faculty http://www.library.uwa.edu.au/contact/faculty-liaison-coordinators
- 65. Data Archiving and Networked Services (DANS) Sharing data: good for science, good for you DANS promotes sustained access to digital research data. For this, DANS encourages scientific researchers to archive and reuse data in a sustained form, for instance via the Australian National Data Service (ANDS)
Editor's Notes
- Increasingly researchers are expected to comply with 3 things Managing their data properly Storing their data properly and Sharing their data/making it Openly Accessible
- The University Library provides a range of services to help researchers manage their research data to reap the benefits (as described) and to meet funder and publisher requirements From this page we can access all of our research data management services. These services aim to support researchers throughout the data lifecycle. There is the online DM Planning tool which help researchers consider all aspects of data mgt in great detail. It’s not a mandatory form but the plan is very useful. Next there is a link to ResearchData Storage and the IRDS service As well as a link to Research data sharing and the RDO There are also bricks on each page linking the four resources including the RDM Toolkit. I will go through each of these services and describe the objectives of each one.
- The University Library provides a range of services to help researchers manage their research data to reap the benefits (as described) and to meet funder and publisher requirements From this page we can access all of our research data management services. These services aim to support researchers throughout the data lifecycle. There is the online DM Planning tool which help researchers consider all aspects of data mgt in great detail. It’s not a mandatory form but the plan is very useful. Next there is a link to ResearchData Storage and the IRDS service As well as a link to Research data sharing and the RDO There are also bricks on each page linking the four resources including the RDM Toolkit. I will go through each of these services and describe the objectives of each one.
- This graphic has been taken from the recent Data Citation Workshop held by ANDS in Perth in March this year. The Northern Party at the South Magnetic Pole. Photographer Douglas Mawson 1909. Courtesy Mawson Collection South Australian Museum
- “It is not possible to apply a uniform definition of research data across all disciplines. Research data may be numerical, textual, audio-visual, digital or physical, depending on the discipline and the nature of the research.” Source: University of Sydney Research Data Management Policy 2014 http://sydney.edu.au/policies/showdoc.aspx?recnum=PDOC2013/337
- What do we mean by research data? Aim is to demonstrate the range of research data created at UWA and relate suggestions to the 5 data ‘groups’ above Observational: data captured in real-time, usually irreplaceable. For example, sensor data, survey data, sample data, neurological images. Experimental: data from lab equipment, often reproducible, but can be expensive. For example, gene sequences, chromatograms, toroid magnetic field data. Simulation: data generated from test models where model and metadata are more important than output data. For example, climate models, economic models. Derived or compiled: data is reproducible but expensive. For example, text and data mining, compiled database, 3D models. Data mining (sometimes called data or knowledge discovery) is the process of analysing data from different perspectives and summarizing it into useful information Reference or canonical: a (static or organic) conglomeration or collection of smaller (peer-reviewed) datasets, most probably published and curated. For example, gene sequence databanks, chemical structures, or spatial data portals. Research data may include all of the following: Text or Word documents, spreadsheets Laboratory notebooks, field notebooks, diaries Questionnaires, transcripts, codebooks Audiotapes, videotapes Photographs, films Test responses Slides, artifacts, specimens, samples Collection of digital objects acquired and generated during the process of research Data files Database contents including video, audio, text, images Models, algorithms, scripts Contents of an application such as input, output, log files for analysis software, simulation software, schemas Methodologies and workflows Standard operating procedures and protocols The following research records may also be important to manage during and beyond the life of a project: Correspondence including electronic mail and paper-based correspondence Project files Grant applications Ethics applications Technical reports Research reports Master lists Signed consent forms
- We’re all familiar with scientific research data – but for those of you in the humanities you may be asking yourself what kind of research data you may have. I have incorporated some slides from the ANDS presentation “Research Data Management for Health Services Librarians” (09/07/2015intro) Artist’s statement Exhibition catalogues Critical reviews Visual diaries Journals Drawings Photographs Manuscripts Musical annotations 3D models Audio-visual recordings of a creative work
- Researchers within academic institutions are creating a rich resource of research data which has potential beyond the original scope of the project it was created for. Here are some quotes relating to the data deluge Huge volumes of research data, largely born digital and enabled by vast advances in computing power, are being generated worldwide. Research data are increasingly valued by research funders, institutions, governments, publishers and researchers themselves. As the volume and complexity of digital research data increases, so does the need to address the challenges of managing, selecting, retaining and storing it.
- Research data management covers all phases of the research lifecycle. Protocols that relate to ownership, documentation, security, sharing and disposal of research data must be implemented throughout each stage of the research process. Research data can continue to be used, reviewed and modified via follow-up projects beyond the scope of the original research project. A Research Data Management Plan can help researchers document every stage of the research data lifecycle. This diagram was developed by the eResearch Support team to demonstrate Where RDM Planning fits within the Research Lifecycle. It shows the steps in the research life cycle. Step 1 – where the researcher has the initial concept Step 2 – is planning for the entire project Step 3 – is where the researchers create their grant/project proposal Step 4 – start their project Step 5 – data collection Step 6 – Conclusion of the project Step 7 – Reporting & publication
- Effective data management has many benefits. It will ensure the responsible conduct of research in several keys areas which are outlined here. DATA Compliance, Efficiency, Access, Quality and Security. I will briefly go through them one at a time now.
- We will 1st look at security
- Researchers need to protect their data from destruction – as you can see this can occur in many ways… As a result - Storing data in the right place is vital So is storing it in retrievable formats! And file naming or labelling ensures legal compliance Doing this guarantees legal compliance to IP rights.
- Efficiency - Improves research process. Encourages systematic documentation and descriptions of the research data. Provides guidelines and procedures ensuring consistency. Access - Allows data validation and verification. Enables collaborative research opportunities. Prevents duplication. Allows data sharing and future reuse. Increases researcher citations.
- Its really important to focus on compliance
- The Organization for Economic Cooperation and Development forum where the governments of 34 democracies with market economies work with each other, as well as with more than 70 non-member economies to promote economic growth, prosperity, and sustainable development.
- Premier The Honourable Campbell Newman Tuesday, October 09, 2012 Queensland Government's 'open data' revolution begins A new Assistant Minister will be appointed to drive the Newman Government’s ‘open data revolution’, which aims to release as much information as possible to encourage the private sector to develop innovative new services and solutions to Queenslanders’ problems.
- Hon Jay Weatherill MP Premier of South Australia Minister for the Public Sector
- You may be familiar with the Code; As I mentioned in the previous slide, it was jointly developed by the ARC, NHMC and Universities Australia In order to receive NHMRC funding, researchers must comply with the code. What is the code? Provides guidelines for institutions and researchers; Promotes best practices in responsible research; and Promotes research integrity; Section 1: covers General principles of responsible research Section 2: covers the Management of research data and primary materials
- The UWA Code of Conduct for the Responsible Practice of Research is based on the Aust. Code for the Resp Con Res It is a guideline for best research practice It protects researchers, including both staff and postgraduate research students, from any misunderstandings (such as disputes of research claims) Section 2 refers to data formats, duration of retention and location of data Currently the university is working on a new Research Data Storage Policy
- Researchers are now required as part of the application process for National Competitive Grants Program funding to outline how they plan to manage research data arising from ARC-funded research. The ARC’s new requirement does not mandate open data Instead, the ARC is encouraging researchers to consider the ways in which they can best manage, store, disseminate and re-use data generated through ARC-funded research The ARC’s approach enables researchers to take into account differences that may exist between institutions, disciplines and research projects The ARC website says: The next steps in the ARC’s data management initiative include: monitoring developments in funding agency and institutional data policies, both in Australia and internationally; considering options for evaluating the benefit of the new data management requirement to ARC-funded research; and monitoring the impact of effective data management on ARC-funded research outcomes over time.
- One of NHMRC’s primary roles is to fund high quality health and medical research and ensure that the Australian community receives the health and economic benefits from that investment. An important part of this responsibility includes enabling researchers and members of the community to access the outputs of research. NHMRC acknowledges the importance of making data publicly accessible. NHMRC encourages data sharing and providing access to data and other research outputs (metadata, analysis code, study protocols, study materials and other collected data) arising from NHMRC supported research. This aligns with researchers’ responsibilities under the Australian Code for the Responsible Conduct of Research (2007) The NHMRC also provides advice as to how to share research data NHMRC encourages researchers to disseminate and share their research data through publicly accessible databases or repositories. However, NHMRC understands that the level of detail in which data could be shared may be limited by a wide range of factors (e.g. ethics (particularly consent), legal, IP). In addition to ethical-legal limitations, other limitations may also exist (e.g. data format and standards, variable ontologies used to describe data). Researchers are therefore encouraged to share data with as much breadth and depth as possible, while taking into account their ethical-legal obligations, and providing sufficient metadata to allow others to reuse their data.
- In Jan 2013 The BMJ was one of the first medical journals to require sharing of individual patient data for trials of drugs or devices. Our initial data sharing policy focused on trials of drug and devices because many high profile, serious allegations of selective or non-reporting of trial results related to such products Making anonymised patient level data from clinical trials available for independent scrutiny allows other researchers to replicate key analyses, reduces the possibility that studies will be unnecessarily duplicated, and maximises use of the information from trials—an important moral obligation to trial participants. An initial investment of time and money is needed to prepare trial data for sharing, but after the first use there are few additional costs; in essence, the value of the data increases with each use. From 1 July The BMJ will extend its requirements for data sharing to apply to all submitted clinical trials, not just those that test drugs or devices.
- http://onlinelibrary.wiley.com/doi/10.1111/bjet.12172/full
- Launched May 2014
- https://mlibrarydata.wordpress.com/ Most psychology journals do not expect, encourage, or require authors to share the data underlying their articles, but there are some interesting exceptions. For instance, the Archives of Scientific Psychology is a new journal (published by APA) that requires authors to make the data underlying their analyses accessible to others. However, as potential data users must complete an extensive application for data access, some have questioned how much this journal actually supports the concept or practice of open data. Also, Psychological Science (published by APS) recently implemented a new system whereby authors can earn a digital badge affixed to their article if they make their data publicly available. Furthermore, the new Journal of Open Psychology Data is a data journal that publishes papers describing particular research datasets housed in data repositories.
- The University Library provides a range of services to help researchers manage their research data to reap the benefits (as described) and to meet funder and publisher requirements From this page we can access all of our research data management services. These services aim to support researchers throughout the data lifecycle. There is the online DM Planning tool which help researchers consider all aspects of data mgt in great detail. It’s not a mandatory form but the plan is very useful. Next there is a link to ResearchData Storage and the IRDS service As well as a link to Research data sharing and the RDO There are also bricks on each page linking the four resources including the RDM Toolkit. I will go through each of these services and describe the objectives of each one.
- The UWA Data Management Plan has been developed based on best practice principles that were identified through a review of existing plans from Australian universities and the UK’s Digital Curation Centre. The plan relates to data generated in a digital format or non-digital data that has subsequently been digitised. Apart from being good research practice, this will prepare researchers for future directions in research data management at UWA and from Australian funding agencies. Major funding bodies in the US and UK are already starting to require data management plans as part of grant applications. It is also a valuable written record for the researcher when confronted with issues associated with collaborative research, data sharing, or validation of published results. Although there is currently no formal requirement for UWA researchers to lodge a Data Management Plan, it is recommended that researchers create a plan for each research project and retain a copy for their records. Researchers can download a copy of the UWA Data Management Plan to aid in the management of their research data.
- The Data Management Planning Tool is: an online form uses the Qualtrics survey platform Asks relevant questions pertaining to your research data Sends you an electronic plan directly to your email after completion. Our toolkit features a template RDM plan which you can download or complete via an online form. The plan is a guide and at the very least a useful checklist of issues to consider. While its not compulsory there’s certainly significant interest and University level and in some faculties and Schools in standardising or getting a more consistent approach to research data planning.
- The RDM Toolkit is a libguide which contains everything pertaining to RDM @ UWA and global trends It has facts, resources and directs researchers to support within UWA. It provides all the links related to research data mgt issues Everything that I will go through today is available in the Toolkit for your quick reference. You can also direct the researchers themselves to the toolkit. The Toolkit covers the 5 main areas of RDM Intellectual Property Documentation and Metadata Storage and Backup Sharing and Reuse Retention and Disposal
- The IRDS is a secure, centrally located and maintained research data storage facility. Using your pheme login you are directed to the Service desk to request storage. There are also other forms available to you form this page such as additional storage requests, change in ownership, access permissions and restore from backup. There are also how-to guides for various platforms. The Store is a drive which is mapped to your desktop. Staff are now able to access their home data from off campus, and from their mobile devices. This service is to be expanded to include access to IRDS Stores. Staff and Students with a UNIWA account and IRDS Store authority will have access to IRDS Stores via the UWA wireless network: On mobile devices, e.g. tablets and laptops, and Remotely from outside the UWA network, e.g. from home or via other research partners. If you are the current owner of a Store, you are required to open a Service Desk incident indicating your Store Name and access preference (i.e. opt-out or opt-in for wireless access to your IRDS Store). Whilst this access is secure, please ensure that you have installed reputable security software to your mobile devices to reduce the risk of unauthorised access. Please consider that it may be inappropriate to allow mobile access to sensitive data We think that dot points make it clearer. Staff can now access their IRDS Stores via 3 methods: 1. Mapped Drive on your UWA PC 2. WebDAV access from your own PC/device (which will require some initial set up) 3. UniDrive web portal https://unidrive.uwa.edu.au Full details on setting up your own device to access UniDrive can be found at the Staff Storage Page on the Information Services website : http://www.is.uwa.edu.au/ it-help /staff-all/storage Any Stores with less than 50% usage for longer than 3 months will be automatically reduced in size. Additional Storage Requests can be made at any time. This will enable the IRDS to provide the best possible value for money for the University and meet immediate storage needs
- We ask that you Only request the amount of storage which you require now. The University will be monitoring the provision and use of Stores. Any Stores with less than 50% usage for longer than 3 months will be reduced in size. Additional Storage Requests can be made at any time. This will enable the IRDS to provide the best possible value for money for the University and meet immediate storage needs.
- This link hasn’t yet been added to any of the web pages as yet but queries can be forwarded to eResearch or made through the Service Desk
- All research activity information at UWA, including raw data, reports, analysis, methods, plans and conclusions are subject to the UWA Policy on Records Management and must be retained in accordance with the WA University Sector Disposal Authority.
- In WA there is now a legal instrument that determines the minimum retention period of all research records (including data). This instrument, WAUSDA, overrides all other guidelines and recommendations, and in some cases exceeds those recommended times. This was our attempt to condense a long and complex document into an easy to understand flowchart which is availalable in the RDM toolkit. To comply with this Authority UWA has developed a Research Data Storage facility for our researchers.
- Regarding file transfer, Drop Box is about as secure as email – so not very secure. UWA’s IGS provide advice on using public cloud storage services: Rule 3 Public cloud services should not be used to transmit and share confidential or sensitive University information unless the information is in encrypted form and the risk associated with information being leaked is assessed as lower than the convenience of using the service. The security of cloud services varies from one service provider to another. In most cases, however, a cloud service is no more secure than the least-well secured email account. As such there are some risks of interception or account hacking when using third party online services. It is therefore recommended that if confidential information must be communicated via a cloud service that the information is encrypted. This is designed to align with the University’s Policy on Privacy of Electronic Material.
- There are also some other internal and external policies which can guide the researcher: University Policy on: Institutional Data Centre University Policy on: Records Management Computer and Software Use Regulations University Policy on: Records Management UWA Code of Conduct for the Responsible Practice of Research UWA Recordkeeping Plan Western Australian University Sector Disposal Authority Australian Code for the Responsible Conduct of Research University’s Policy on Privacy of Electronic Material
- Alex Reid is here today to answer any questions We also have some Cloustor flyers here for you to look at .
- So we have talked about storage options available to our researchers. I will now introduce our sharing system
- Moving on to sharing data With IRDS, the research data and metadata is not publicly accessible or discoverable. The IRDS also doesn’t assign DOIs to the data. Placing this data in the RDO assigns a DOI/handle to the data – allowing researchers to link publications to the underlying data (I mentioned PLOS earlier)
- Moving on to sharing data With IRDS, the research data and metadata is not publicly accessible or discoverable. It is purely a central storage facility. By Placing this data in the RDO we can assign either a DOI or locally generated handle to the data – allowing researchers to link publications to the underlying data (I mentioned PLOS earlier) Publicly accessible Discoverable DOIs OR Locally generated handles Harvested into RDA
- Example of someone using RDO to publish in PLOS
- You will recall that earlier I spoke about RDA – Australia’s Research Data Metadata Repository. The Australian National Data Service (or ANDS) is funded by the Commonwealth under the National Research Infrastructure for Australia (NCRIS) Program They developed Research Data Australia (RDA) Research Data Australia, ANDS’ flagship service, provides a comprehensive window into the Australian Research Data Commons. It is an Internet-based discovery service designed to provide rich connections between data, projects, researchers and institutions, and promote visibility of Australian research data collections in search engines. UWA’s RDO feeds all metadata into RDA to make your research data discoverable
- Nationally – we have RDA Research Data Australia helps you find, access, and reuse data for research from over one hundred Australian research organisations, government agencies, and cultural institutions. They do not store the data itself here but provide descriptions of, and links to, the data from their data publishing partners. One of which is UWA
- This dataset lists the format and Subjects related to it.
- Research Data Australia covers a broad spectrum of research fields - across sciences, social sciences, arts and humanities. Much of the data you can discover here is immediately accessible online via their partners and free to use (subject to any licence conditions).
- We have had queries asking the differences between the IRDS and the RDO
- We can manually mint DOIs for your research data on request. This is a recent example of a citation The can be cited by other researchers when they use Ms Hooper’s (et al) database to do further research.
- The Data Citation Index on the Web of Science™ platform provides a single point of access to quality research data from repositories across disciplines and around the world. Through linked content and summary information, this data is displayed within the broader context of the scholarly research, enabling users to gain perspective that is lost when data sets or repositories are viewed in isolation. These connections allow researchers to efficiently access an array of data across subjects and regions, providing a comprehensive picture of research output, to maximize research efforts and accurately assess importance.
- A licence sets out how data can be used and reused and attributed All Australian data intended for reuse shoulf have a licence This not only pro,motes reuse – enabling collaboration but more importantly, it gives the owner CONTROL and Credit To apply a license, you must have the rights to do so (Are you the ‘owner’? Have you reused 3rd party data? Choose the most open licence you can There is also an option for restyrictive licenses which can bespoke your conditions of access and use. Just apply the marking (image) and/or statement Make it visible on the document, repository record, and/or attached to the data