Research data management

Data underpinning research articles is becoming increasingly important. The scope and power of modern online publishing means this information can now be made permanently available for interpretation, reinterpretation or reuse in conjunction with other data. Like the related areas of big data and text and data mining, underlying data is a means of unlocking the deeper potential of research. This potential has driven international funding bodies to revise their policies to encourage, or even mandate, institutions and their researchers to make research data available.

Drawing on feedback from across the research community, Elsevier has determined that effective research data should have 10 characteristics to unlock its full potential.

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Research data management for institutions

Successful researchers empower successful research institutions. For universities and other scholarly organizations that are preparing to look beyond the rigors of compliance, there are clear benefits to be derived from effective data management. These include:

  • Improved quantity and quality of research output – The pace of research will increase and the credibility of research papers will improve as research data  is made available for evaluation.
  • Increased research exposure and impact – The availability of research data increases article exposure, leading to more views, shares, and mentions. It also increases the impact of the article, generating more citations as well as generating citations of datasets.
  • Increased collaboration – Shared data is an important starting point for collaboration, as researchers seek to understand how results were obtained and exchange views on analysis and interpretation.

To unlock the full potential of data, moving beyond compliance, Elsevier has identified four research data strategies addressing data accessibility, discoverability, reproducibility and reusability. By applying these strategies, institutions and their researcher will be able to seize the opportunity in data.

Strategies to seize the opportunity in data

To operate effectively, research data strategies should be supported by an open environment, available through institutional systems and embedded throughout the research workflow. The four data strategies shown below will enable institutions to move beyond compliance and unlock full potential of data value.

 

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How Elsevier can help

As both a publisher and a digital solutions provider, Elsevier embeds research data in the workflow and makes it accessible, discoverable and reusable. Elsevier also applies metrics that enable both researchers and institutions to gauge progress toward compliance and performance goals.

 

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Research data management for researchers

Researchers do not need to be convinced of the importance of their data – they understand this better than anyone – but many still do not appreciate the potential benefits of sharing this resource with the wider community. These benefits can be summarized as follows:

  • Increased research exposure and impact – Early exposure of data heightens the visibility and impact of research, which influences getting credit for published works, driving citations and prestige.
  • Faster dissemination of research – Access to research data helps speed up the dissemination of research, driving additional visibility of – and discussion around –results.
  • Improved research integrity and accountability – data sharing also enhances the integrity of research, providing a public validation of research results.
  • Increased collaboration – Shared data is an important aspect of collaboration, as researchers seek to understand how results are obtained, and exchange views on analysis and interpretation.
  • Enhanced project management – Implementing data management practices help researchers work more efficiently, track progress more easily, and mitigate against the risk of lost or corrupted data.

How researchers can seize the opportunity in data

In the world’s research hubs, efforts are being made to equip researchers with the knowledge and skills to respond to the pressures and opportunities of data management.

To overcome these barriers, researchers need to be supported throughout the data “value chain” in order to unlock the full potential of research data with as little hassle as possible. The value chain has to be fully integrated, providing researchers with the tools to:

 

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How Elsevier can help

As both a publisher and a digital solutions provider, Elsevier embeds research data in the workflow and makes it accessible, discoverable and reusable. Elsevier also applies metrics that enable both researchers and institutions to gauge progress toward compliance and performance goals. Through our publishing processes, we work with researchers to provide a strong practical example of how data exposure along with published papers can augment the quality, transparency and impact of their research.

 

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Inspiration from the research community:

Learning from astronomy

During a symposium in Washington, Željko Ivezić, Department of Astronomy, University of Washington, made the case for International Sharing of Scientific Data.

http://www.astro.washington.edu/users/ivezic/Outreach/Talks/NAS2011_Ivezic.pdf

Below the summary of key learning points and the top 10 benefits

 

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Learning from fighting Malaria - WWARN

WWARN, the first malaria data sharing network, has used pooled analysis of shared data to provide evidence to help improve dosing regimens of malaria treatments.

 

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