Towards ‘end-to-end’ research data management support

Mrs Cassandra Sims1

1Elsevier, Chatswood, Australia, c.sims@elsevier.com

 

Information systems supporting science have come a long way and include solutions that address many research data management needs faced by researchers, as well as their institutions. Yet, due to a fragmented landscape and even with the best solutions available, researchers and institutions are sometimes missing crucial insights and spending too much time searching, combining and analysing research data [1].

Having this in mind, we are working on holistically addressing all aspects of the research life cycle as it is shown in Figure 1. The research lifecycle starts from the design phase when researchers decide on a new project to work on next, prepare their experiments and collect initial data. Then it moves into the execution mode when research experiments are being executed. Research data collected, shared within the research group, processed, analysed and enriched. And finally research results get published and main research outcomes shared within the scientific community networks.

Figure 1: Research lifecycle

Throughout this process researchers use a variety of tools, both within the lab as well as to share their results. Research processes like this happen every day. However, there are no current solutions that enable end-to-end support of this process for researchers and institutions.

Many institutes have established internal repositories, which have their own limitations. At the same time, various open data repositories [2] have grown with their own set of data and storage/retrieval options, and many scholarly publishers now offer services to deposit and reference research datasets in conjunction with the article publication.

One challenge often faced by research institutes is developing and implementing solutions to ensure that researchers can find each other’s research in the various data silos in the ecosystem (i.e. assigning appropriate ontologies, metadata, researcher associations). Another challenge is to increase research impact and collaboration both inside and outside their institution to improve quantity and quality of their research output.

Making data available online can enhance the discovery and impact of research. The ability to reference details, such as ownership and content, about research data could assist in improved citation statistics for published research [3]. In addition, many funders increasingly require that data from supported projects is placed in an online repository. So research institutes need to ensure that their researchers comply with these requirements.

This talk will be about a suite of tools and services developed to assist researchers and institutions in their research data management needs [4], covering the entire spectrum which starts with data capture and ends with making data comprehensible and trusted enabling researchers to get a proper recognition and institutions to improve their overall ranking by going “beyond the mandates”.

I will explain how it integrates through open application programming interfaces with the global ecosystem for research data management (shown in Figure 2), including:

  • DANS [7] for long-term data preservation,
  • DataCite [5] for DOIs and indexed metadata to help with data publication and inventory,
  • Scholix [6] for support of links between published articles and datasets,
  • More than 30 open data repositories for data discovery.

Figure 2: Integration with the global research data management ecosystem

The talk will conclude with the overview of the current data sharing practices and a short demonstration of how we incorporate feedback from our development partners: University of Manchester, Rensselaer Polytechnic Institute, Monash University and Nanyang Technological University.

REFERENCES

  1. de Waard, A., Cousijn, H., and Aalbersberg IJ. J., 10 aspects of highly effective research data. Elsevier Connect. Available from https://www.elsevier.com/connect/10-aspects-of-highly-effective-research-data, accessed 15 June 2018.
  2. Registry of research data repositories. Available from: https://www.re3data.org/, accessed 15 June 2018.
  3. Vines, T.H. et al., The Availability of Research Data Declines Rapidly with Article Age. Current Biology, 2014, 24(1): p. 94-97.
  4. Elsevier research data management tools and services. Available from: https://www.elsevier.com/solutions/mendeley-data-platform, accessed 15 June 2018.
  5. DataCite. Available from: https://www.datacite.org/, accessed 15 June 2018.
  6. Scholix: a framework for scholarly link exchange. Available from http://www.scholix.org/, accessed 15 June 2018.
  7. Data Archiving and Networked Service (DANS). Available from: https://dans.knaw.nl/en, accessed 15 June 2018.

Biography:

Senior Research Solutions Manager ANZ

Cassandra has worked for Elsevier for over 6 years, as Product Solutions Manager APAC and currently as Senior Research Solutions Manager ANZ. Cassandra has demonstrated experience and engagement in both the Academic, Government and Health Science segments in region, working with Universities, Government Organisations, Local Area Health Districts, Funders and Industry, to assist in the development of business strategies, data asset management and core enterprise objectives. Specialising in detailed Analytics, Collaboration Mapping and Bibliometric Data, Cassandra builds on her wealth of knowledge in these areas to assist our customer base with innovative and superior solutions to meet their ever changing needs. Cassandra has worked with the NHMRC, ARC, MBIE, RSNZ, AAMRI and every university in the ANZ region. Cassandra is responsible for all new business initiatives in ANZ and in supporting strategic initiatives across APAC.

About the conference

eResearch Australasia provides opportunities for delegates to engage, connect, and share their ideas and exemplars concerning new information centric research capabilities, and how information and communication technologies help researchers to collaborate, collect, manage, share, process, analyse, store, find, understand and re-use information.

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