Skip navigation to content

Funding Research Data Management

What follows is a summary of the Research Data Management Forum special event on Funding RDM services which took place at Lakeside Conference Centre, Aston University on 25th April 2013.

During the morning session there were four presentations:

  • Caretakers of the Present, Guardians of the Future: The digital Research Data Challenge (Jeff Haywood, University of Edinburgh)
  • Research Facilities and Equipment Sharing database developments / DataPool – Collaboration as Foundation for Sustainability (Adrian Cox & Wendy White, University of Southampton)
  • Research Data Management at Oxford Brookes (Sarah Taylor, Research Support Manager, Oxford Brookes University)
  • Ongoing RDM Support at the University of Bristol (Stephen Gray, Project Manager data.bris)

During the afternoon a panel session of funders with representatives from BBSRC, EPSRC, MRC, NERC, STFC, and the Wellcome Trust took place. The slides for the above presentations and the questions put to research funders are available from the Digital Curation Centre web site.

Caretakers of the Present, Guardians of the Future: The digital Research Data Challenge

Research data can mean different things, such as scratch data (e.g. raw data that is collected straight from a machine), analysed data, and final data sets that represent underlying data for publications. Each researcher’s collection of data is liable to contain a mixture of the different data types.

Over the past years the University of Edinburgh has provided the following Research Computing Services: data services, storage, sharing, and curation. Haywood talked about the difficulty in scoping such services. As part of the development of RDM services a number of issues had to be addressed, such as inadequate storage provision, a lack of formal institutional policies for the creation and management of data, and a lack of training and best practice guidance for researchers on RDM.

The initial move of the University to set up and develop RDM services was not triggered by funder requirements but was based on internal motivators that recognised the value of such services to research. Within the context of an increasing formalisation of RDM from funders, Haywood expects the relative importance of UK funders to diminish over the next years in favour of European and other international funders. This will increase the complexity of the RDM policy frameworks that institutions will have to comply with.

Edinburgh currently provides researchers with 0.5TB of data storage by default and is expecting to increase this to 1TB. As part of JISC-funded projects it has developed the Research Mantra RDM training suite and the DMPonline data management planning tool. Both are available free of charge to researchers in other institutions.

Over the next couple of years the University of Edinburgh plans to invest at least £2m on its development of research data services.

Research Facilities and Equipment Sharing database developments / DataPool – Collaboration as Foundation for Sustainability

Adrian Cox talked about the EPSRC-funded UNIQUIP project, a national equipment database that provided a mechanism for an effective national agenda for sharing ( This project is now part of the portal that is aimed at sharing different types of data, including research data.

Wendy White continued talking about the DataPool project and the development of shared, scalable and sustainable services. Southampton had developed Tweepository, a Twitter archiving service. As with any other service, the long-term institutional commitment to Tweepository depends on use and take-up. White went on talking about institutional policies and underlined the need for exemplars for the innovative use of linked / open data to help with establishing data retention guidance.

Research Data Management at Oxford Brookes

Sarah Taylor spoke about the experience of developing RDM services at Oxford Brookes University. The University had formed part of the Digital Curation Centre Institutional Engagement project. Until two years ago IT support in Oxford Brookes had been much devolved. Since then a new faculty structure had been implemented and centralised IT support provision introduced. Oxford Brookes agreed their institutional RDM policy in February 2013.

Ongoing RDM Support at the University of Bristol

Within the University of Bristol there are 2,288 researchers submitting approximately 1,700 applications for funding per annum. 42% of submitted applications are successful, currently generating a research income of £106m.

The development of RDM services in Bristol builds on a £2m investment in research data storage infrastructure made prior to the RCUK RDM agenda. As part of standard service provision, each researcher can apply for 5TB of storage free of charge. RDM infrastructure was developed by the data.bris project, that in addition to university resources had received £250k JISC-funding and a further £65k from EPSRC.

In Bristol RDM support is spilt over three units: IT Services, the Library, and Research, Enterprise and Development (RED) services. Prior to the start of the data.bris project there was a 0.2FTE digital humanities support officer within IT Services and ad-hoc research computing work carried out in individual academic departments. Within the Library there was 0.2FTE support for a small institutional repository. RED provided assistance for research funding applications at pre-award stage only as well as training in grant writing, which excluded RDM training.

The data.bris project developed RDM training provision, software to deposit data, and a RDM policy that is similar to Edinburgh’s policy. Bristol also adopted the RDM principles centering around excellence and impact, world-class infrastructure, skills and knowledge, integrity and professionalism, and leadership and collaboration that are set out in Monash University’s Research Data Management Strategy and Strategic Plan 2012-2015.

An additional outcome of the data.bris project was a business case to the university, which was successful. As a result of the successful business case, the University of Bristol has approved a pilot data service project running from 1 August 2013 until 31st July 2015 during which the requirements for permanent service provision will be established. The project is going to be resourced with 1 director, 3 subject data librarians, and 1 technical support staff. While the data.bris project was owned by IT Services working with the Library and RED, responsibility for RDM service provision during the pilot project lies with the Library in collaboration with IT Services.

Panel session

The afternoon session comprised a panel discussion with representatives from BBSRC, EPSRC, MRC, NERC, STFC, and the Wellcome Trust. Attendants had been asked to submit questions to funders in advance. Questions had been categorised as follows:

  • A. What RDM services and infrastructure are in scope?
  • B. Open Access and data sharing
  • C. Specific and allowable RDM cost elements
  • D. Long term storage, preservation and archiving
  • E. What is the application process to recover RDM services?
  • F. Guidance and support
  • H. Compliance

A. What RDM services and infrastructure are in scope?

RDM services and infrastructure are within the scope of two RCUK Common Principles on Data Policy, principles 2 and 7:

  • Principle 7: “It is appropriate to use public funds to support the management and sharing of publicly-funded research data. To maximise the research benefit which can be gained from limited budgets, the mechanisms for these activities should be both efficient and cost-effective in the use of public funds.” There are two ways of looking at the statement of wanting to maximise the research benefits from the use of such funds: Firstly such money should be used efficiently, and secondly funders are looking for research benefits where money is spent.
  • Principle 2: “Institutional and project specific data management policies and plans should be in accordance with relevant standards and community best practice. Data with acknowledged long-term value should be preserved and remain accessible and usable for future research.” This means that not all data should remain accessible or be preserved.

There is a need to distinguish between the costs that are incurred during a project and those that arise afterwards. Costs incurred during a project should be included in the direct costs for a project, including hardware, staff, expenses, etc. RDM costs will include preparation of the data for access and curation (incl. the addition of metadata).

After the project there are three possible cases:

  • Provision through the research funder:
    • Some research councils (NERC, ESRC) have their own data centres.
    • Some disciplines have their own disciplinary repositories.
    • In STFC’s programme big projects (e.g. Hedron collider) already have an infrastructure in place that can be used by other projects.
      Where such services are available, grant holders are expected to use them. MRC have a mixed model, where for some areas of the programme such services exist.
  • Provision through the research organisation: When the institution is going to provide a service in the long term the obvious way to finance it, is through FEC.
  • Outsourcing to a third party: If a third party is providing the service, there is the need for due diligence to be done by the institution.

The principles under which the data is going to be made available are expected to be explained in the Data Management Plan (DMP) at the project level. The institutional infrastructure that is provided for making data available is expected to be outlined within an institutional plan, policy or operational document. Researchers need to make it clear within the Justification of Resources of their application for funding what exactly it is that they expect funders to pay. Justifications of Resources should, where possible, separate out the following RDM cost elements: cost of collecting data, the cost of curating data, the cost of analysing data, the cost of preservation and sharing.

As concerns funding, there are some differences in the way the Wellcome Trust operates. Owing to its charity status, the Wellcome Trust in general only pays directly incurred costs.

Acknowledged long-term value

Acknowledged long-term value involves a value judgement that needs to be made on a case-by-case basis. Research funders ask for the justification of what data to keep to be made as part of the DMP.

Funders acknowledge that researchers in all areas of Science need to be selective. It is necessary to obtain experience to help with these judgements. Such experience can be gained through the peer review process that assesses the likely research benefits to be gained. Furthermore, researchers can develop their own experience by keeping a record of who has asked for data, what kind of data was provided, and what publications and further outputs arose from that activity.

EPSRC finds it challenging to come up with a one-size-fits-all solution, which is what RDM is trying to do. In EPSRC policy it is stated that apart from data that underpins publications, which must be kept, EPSRC leaves it up to the researchers to decide what to keep. If a researcher decides that something should be kept, then this data should be stored properly. Once a decision to keep data has been made, the policy stated that the data should be kept for 10 years. EPSRC assumes that it does not cost much more to store data for 10 years than it costs to store it in the short term. If in that 10 year period the data has not been accessed, questions need to be asked as to whether this data should really be kept. If people have accessed the data, the 10 year period starts anew. There is obvious data (e.g. climate readings) that will need to be kept in the long term regardless of whether or not such data has been accessed during the 10-year period. It is not up to EPSRC to determine on the level of each discipline what to support. It is the researcher who knows data best and who needs to decide whether it is has long-term value.

B. Open Access and Data Sharing

Research data is like any other cost of a grant. If the cost is incurred during the grant period, it counts like any other direct cost. Every good application for funding should in its overall general work plan have time set aside for dealing with data management activities.

Making data open access incurs a cost that is separate from APCs.

Funders point out that research data should be in a similar position to publications as concerns access. From MRC’s perspective, however, researchers are not ready to have their data put up for anybody to look at. This is due to the complexity of data and the need for confidentiality. The research team who created the data needs to be involved in the process of preparing the data for publication. MRC could not afford to put up all the data from 60-80 years of medical research for anybody to use. Such a job is not achievable at the moment.

EPSRC does not require a DMP as part of the application. In EPSRC applications the Management Section within the Case for Support should increasingly be used to include references to data and its uses. There is a possible move towards formalising this aspect and this way to include data management within the peer review process. Jeff Haywood pointed out that EPSRC’s approach is from an institutional perspective inconsistent with the requirements of other funders. EPSRC require every funded project to have a DMP as part of good research practice, but the DMP itself is not subject to peer review.

C. Specific and allowable RDM cost elements

The research community should develop a better understanding of the importance of using metadata to describe their datasets. Advocacy for metadata is considered part of normal institutional service provision and should not be funded by Research Councils. Universities have a role to ensure that custodians of data have a sufficient understanding of metadata.

It is not possible to include RDM costs in applications for funding based on a rule-of-thumb estimate. For some projects, RDM may be within institutional provision, in other projects RDM may be the majority of the cost. The cost of RDM is project-specific and entirely depends on the type of work.

Within NERC the cost of RDM represents approximately 2% of the overall cost of funding, but the distribution of this cost varies greatly from project to project.

D. Long term storage, preservation and archiving

Long term storage, preservation and archiving costs are part of the overhead of each HEI and should be met by research funders. If this cost cannot be covered through the direct cost as part of the project, then indirect and quality-related costs are considered obvious funding streams.

ESPRC expects institutions to call upon these sources of funding and to set aside funds to ensure that institutions have good data management infrastructure in place to support researchers. It is up to the institution to decide whether RDM infrastructure is provided in-house or via a third party. An organisation that sets itself up as a research organisation needs to take onboard the importance and necessity of providing data management infrastructure to researchers as part of its central provisioning.

The pay-once-store-forever (POSF) model is a difficult concept for funders. The assumption made by the POSF model is storage over 20 years or forever, whichever comes first. Although most of the curation costs are upfront costs, if data needs to be kept in the long term, there is likely to be an ongoing cost for storage and access.

The cost of storage increases where multiple copies of data need to be kept unless it is acceptable to allow data to decay. According to funders, judgements need to be made about opportunities and risks. If managing a large resource, some parts will be paid a lot of attention to, and other parts will be paid less attention to. It is about taking a proportionate approach to opportunities and risks.

EPSRC point out that RDM takes place within the context of the UK legislative framework (e.g. FoI). Public bodies such as universities are under the obligation to make data available unless there are exemptions to be applied. Therefore, organisations need to know what data they hold. A process of appraising whether or not to keep data is a valid part of institutional policy. There should be a cost / benefit analysis, if the cost of appraisal is higher than just keeping the data, then there is no benefit in doing the appraisal process.

E. What is the application process to recover RDM services?

The question was asked whether institutions can set up small research facilities to recover the cost of RDM services. It was pointed out that there is already a model for doing this in the provision of HPC services. Simon Hodgson clarified that the origin of small research facilities lies in the TRAC terminology. Small research facilities are chargeable above cost, i.e. not as part of the indirect cost nor as part of the university infrastructure. Instead, they are chargeable as a specific infrastructure that can be charged against a research grant. A small research facility is provided by the university but it is used by research groups.

A small research facility needs to be approved by funders as such. For example, such a facility might be possible in the area of big data, if big data is generated in a new way. Added value needs to be shown. Funders recognise that we are on a journey, and that it is not impossible to make the case. The added value would have to be demonstrated to funders and to the research community. If a facility was funded, it would be out of the research budget, possibly as a cross-institutional service. A small research facility needs to be very close to Science. It is about creating highly specialised services.

F. Guidance and support

RCUK is developing guidance for RDM. It is hoped that this guidance will become available within a few months.

G. Compliance

Councils hope that universities would want to take on the development of support for RDM and prove that they are doing this well. After all, RDM is about producing good research. In Bristol the EPSRC policy has carried some weight, but there were other drivers. RDM brings kudos.

EPSRC does not want to act as a police officer. There are expectations that organisations have good research management practices in place. If an organisation is becoming obviously non-compliant or if there are systemic failures in RDM, then the organisation risks losing their eligibility for research funding.

EPSRC does not expect to have to go out and check institutional compliance. A case could be made that there could be cross-council visits to institutions rather than just the EPSRC checking compliance with their own policies.

MRC does not believe that councils should ask institutions lots of questions, but there are areas, e.g. security where a few intelligent questions could be asked to check compliance. More concern is over the compliance of Principal Investigators with MRC’s policy to share data. It was felt that we are still not realising the benefits of sharing to the extent that we should do. This is where peer reviewers can help, because they do understand the data. The MRC does not want to use the compliance argument too much, but would prefer to argue that RDM is good for outputs and good for collaboration.

How much (more) research data do we have, and where do we store it?

In January and February 2013 we asked Computing Officers across the University to provide us with feedback about the storage requirements for research data within their respective school.

15 out of 19 schools and 3 research centres responded to the survey. The format in which responses were received varied from a summary response per school or research centre to receiving a compilation of forms completed by researchers. For a number of schools Computing Officers have pointed out that participation from researchers in the survey was low, for example 5 researchers out of 61 for one school, or 11 out of 30 for another. Given the response rate, it is inevitable that the survey outcomes presented here are unable to provide a full picture of the University’s research data storage need.

After we received the feedback from Computing Officers we compared it to the outcome of the Data Asset Framework audits carried out in 2012, and where we had identified additional needs, these were added. As a final step we looked at the requests for research data storage that reached IT Services over the last year and at data that is already stored on existing Research Computing infrastructure. Where we found gaps, we added the figures to the storage requirements for each school.

The survey identified a storage need of 1.36Pb for active data with an annual increase of approximately 10%, and a long-term storage need of approximately 600Tb with an annual increase of 20%. The feedback that we received also suggests that most researchers do not currently differentiate between active data and long-term storage, which will almost certainly have had an effect on the figures presented here. The 1.36Pb of active data storage include a requirement of 600Tb for working copies of data produced by a High Performance Computing Cluster in the School of Mathematics and Statistics and 150Tb of scratch space for HPC users.

The table below provides a breakdown of current data storage split into the use of different options. It is obvious that only a very small proportion of the University’s research data (0.14%) is stored on centrally provided systems. Worryingly, an approximate 19% of research data is currently stored on staff computers, and a further 15% is on external storage media. Only 5% of research data is stored in the public cloud. None of the respondents used an external organisation or data centre to look after their data. Only one respondent indicated that some of their research data is stored on a privately owned computer at home. It is to expect that the figure for research data storage on home computers is much higher than the few Gb in the category “other” the survey identified.

active data long-term storage
current need annual increase current need annual increase
ITS Central Filestore 369.6 89.6 232.0 0.0
ITS web servers 2,066.0 1,219.5 0.0 1,000.0
Networked file store (non-ITS) 938,721.1 37,040.1 153,000.0 27,600.2
non-ITS web servers 39,510.0 19,542.0 50,004.5 16,500.0
staff computers 208,253.0 28,993.0 164,030.0 732.5
external storage media 114,635.0 38,292.0 181,361.0 47,812.5
external organisation or datacentre 0.0 0.0 0.0 0.0
use of external cloud services 54,593.0 1,273.8 50,000.0 0.0
other 32.0 6.2 0.2 0.0
Total (in Gb) 1,358,179.7 126,456.2 598,627.7 93,645.2

The charts that follow provide a breakdown of the various types of data storage across the different schools and research centres. It is clear from those charts that there are some rather significant gaps, and that the results presented here only provide an incomplete overview of the University’s research data storage requirement.

Some of the charts suggest that, compared to the storage needs in other schools and research centres, there is some especially data intensive research in the School of Biology and in CREEM. While this is likely to be one factor, it is worth noting that responses from Biology and CREEM were much fuller than those received from other parts of the University. It is likely, therefore, that a higher proportion of research data has been identified than has been achieved in other schools and research centres.

IT Services central file store

ITS web servers

Networked file store (non-ITS)

The category on non-ITS networked file storage contains 600Tb of storage of working copies of HPC data (School of Mathematics and Statistics) and 150Tb of scratch space for HPC users (School of Chemistry). A further 62Tb for active data and 100Tb for long-term storage were added as a result of requests received by IT Services.

Non-ITS web servers

Staff computers

External storage media

External cloud services

CKAN for Research Data Management

CKAN is an open source data management system that for the past six years has been developed by the Open Knowledge Foundation. CKAN provides tools to steamline the processes of publishing, sharing, finding and using data. Initialliy CKAN was aimed at data publishers such as national and regional governments, companies and organisations that want to make their data publicly available. For example, the UK Government’s data portal  ( runs on CKAN, and in Australia, where CKAN is widely used by government agencies at both national and regional levels, it has become accepted as de facto standard for data management.

As part of the JISC Managing Research Data programme two projects, Orbital (University of Lincoln) and data.bris (University of Bristol) , have adopted CKAN as a component of their institutional RDM solutions.  The experience of both projects using CKAN was discussed at the workshop “CKAN for Research Data Management” that was held in London on 18th February 2013. In addition to representatives from both projects, members from the Open Knowledge Foundation and staff from other UK Universities took part in the workshop. Summaries of the workshop can be found on the data.bris and Orbital project blogs.

As part of the workshop a requirements gathering exercise was started investigating the wider needs of the RDM community and matching these needs against the functionality of CKAN. As part of this requirements gathering exercise, the following RDM roles were decided on: researcher, developer, curator/manager, re-user, IT support, and data subjects.

The requirements were gathered through expressions in the following format: “As a [RDM role], I want [what, requirement], so that [why, reason]”.

Below is a list of requirements of what we would hope to find in a RDM solution that we have fed back into the requirements gathering exercise. CKAN already meets a number of these requirements.

No RDM role Requirement Reason
1 Curator / manager Digital objects not to be stored within a database So that where necessary / desirable preservation tools (e.g.  JHOVE, DROID) can be used to continuously validate file integrity
2 Curator / manager Ability to integrate with Research Information Systems (e.g. Pure) To allow for efficiency of institutional processes, e.g. in relation to REF
3 Curator / manager Usage metrics to be available To support gathering of information on research impact, e.g. for REF
4 Curator / manager The availability of records management functionality, e.g. for the administration of retention / life cycle management periods To support institutional life cycle management processes
5 Curator / manager Ability to link publications (in the publications repository) to associated datasets (in CKAN) To allow for ease of access to publications and related data, to support transparency and openness
6 Curator / manager Ability to draw metadata from Pure and/or to export metadata into Pure To assist the integration of RDM solutions with the Research Information System
7 Curator / manager, researcher Support of variety of academic subject-specific metadata standards To ensure CKAN is useful and adaptable to a wide range of academic disciplines
8 Curator / manager, researcher To keep track of versions of data To allow for ease of tracking modifications made to individual files
9 Developer CKAN to support a range of accepted protocols for metadata harvesting (e.g. OAI-PMH) So that catalogues for a number of different data stores can be integrated and searched via a single point of access.
10 Developer to harvest metadata from Fedora Commons, possibly via OAI-PMH CKAN can present data that is kept in other repositories.
11 Developer to use Fedora Commons as a FileStore ( CKAN can access digital objects in Fedora (as an alternative to harvesting)
12 Developer APIs to support the development of  alternative methods of data ingest into CKAN and the development of tools for data analysis Subject-specific RDM needs can be met
13 IT Support CKAN to be able to support a number of different data and database structures Subject-specific RDM needs can be supported and existing department-level RDM solutions can be integrated into an institutional CKAN RDM solution
14 IT Support CKAN to support Shibboleth and other single sign on protocols Institutional sign on mechanisms can be used to authenticate to CKAN
15 IT Support CKAN to be able to integrate with institutional identity management (IDM) systems Existing institutional IDM can be used to define roles and levels of access to individual datasets within CKAN.
16 IT Support The availability of a documented mechanism of running several customisable instances of CKAN from the same codebase Institutional support for potentially a multitude of CKAN instances to cater for various subject-specific needs can be done efficiently.
17 IT Support The availability of maintenance agreements So that institutions adopting CKAN can get expert technical support when needed
18 IT Support Commitment from CKAN developers to keeping code base up-to-date So that business continuity can be ensured.
19 IT Support Any necessary security fixes to be developed quickly So that system security can be ensured.
20 IT Support metadata extraction upon ingest (including subject-specific metadata standards, e.g. TEI & VRA) To avoid, where possible, manual metadata entry (reduction of typos, efficient use of staff time)
21 IT Support The ability to run admin reports (e.g. storage space used in individual collections; file types contained in individual collections, access to / usage of (parts of) individual collections) To allow for efficient support provision (e.g. planning of storage requirements, charging, etc.)
22 IT Support CKAN to be designed in a modular fashion So that it is possible to select individual components of the software and to integrate these with existing systems and technical infrastructure
23 IT Support The availability of relevant and accessible user documentation that can be modified for local use To reduce the number of CKAN users contacting the IT Service Desk for advice on how to use the system

All requirements gathered will be summarised by the Orbital project and will feed into wider discussions on how CKAN can be developed further to support institutional RDM processes better.

Online Research Database Service (ORDS)

It is not uncommon for us to get requests from researchers for the setup of databases. Especially when such requests relate to unfunded research, we have often had to decline them. As a result, a number of research datasets have remained unpublished.

The problem of not having the resources to provide bespoke technical solutions to every research project that applies for our help is not unique to St Andrews. But then, not every project requires a bespoke solution. Over the past years Oxford University IT Services undertook the VIDaaS (Virtual Infrastructure with Database as a Service)  project to develop a technical solution that allows researchers to build and publish online database quickly and without the need for programming skills.

VIDaaS runs on the DaaS (Database as a Service) software also developed by Oxford. DaaS is an online solution that provides users with a WYSIWIG (what you see is what you get) interface. DaaS allows for version-control and, if necessary, it permits users to make changes to the database schema via a drag and drop mechanism. There is no need to make any modifications to srcipts or user interfaces that normally become necessary as a result of a change to the database schema. These changes will be undertaken automatically by the DaaS software when the database schema is changed.

Oxford has been working at DaaS to support different types of database, including relational databases, XML databases and document databases. Plans also included the ablitiy to upload MS Access databases and for DaaS to convert these into online PostgeSQL databases.

DaaS supports various levels of access restriction to the data. The ability to support institutional single sign-on mechanisms is being developed. Several members of research groups can be given permission to modify the project database.

The VIDaaS project came to an end in 2012, and since then Oxford University IT Services has migrated the DaaS software to a more secure technical environment.

The Online Research Database Service (ORDS) that is currently under development uses and builds on the outcome of the VIDaaS project. Oxford University IT Services is currently undertaking an ORDS maturity project with a view to both supporting researchers at Oxford and making the DaaS software available to other institutions. As part of the ORDS maturity project the Research Computing Service will be looking at the software and its features with a view to investigating the feasibility of providing the ORDS locally to researchers within the University of St Andrews.

St Andrews Digital Collections project

We are currently working with the University Library on setting up an Islandora repository for the St Andrews Digital Collections project. The project came into being as a result of efforts from the Digital Humanities Research Librarian to promote to Library’s Special Collections and to increase access to rare materials within Special Collections’ holdings through making a growing proportion of materials available digitally to University staff and students as well as to the general public.

According to the map of the Islandora community the Digital Collections repository will be the second instance of an islandora installation in the UK and the first example od a UK University Libary adopting the software. The availability of various solution packs and the emerging support for the Digital Humanities within the software made Islandora a particularly attractive option for this project.

The repository runs on existing Research Computing infrastructure and is now at a stage where content is added. More information on this resource and when it will become available to the public will follow in due course.