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 identified 10 characteristics of research data to unlock its full potential.

Research data management videos

Get free access to thought leadership content like webcasts, interviews and training videos, as well as product demo videos for Hivebench and Mendeley Data

Visit the video channel

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 are 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, Elsevier offers a Research Data Management portfolio that supports institutional researchers by integrating workflow tools throughout the data lifecycle and supports institutional stakeholders by integrating these tools with institutional workflow solutions.

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.

Data Manager

Institutional repository solution where researchers can store, collaborate, find, share and expose their ongoing research data and research data annotations, enabling heightened reusability of research data output.

Benefits

  • Timely and effective compliance with funding mandates
  • Enhanced research visibility and impact, including more citations
  • Discoverable data becomes a catalyst for new research and a starting point for further collaboration

More information

Hivebench

Electronic Lab Notebook solution that supports data capture and reproducibility, improves researcher efficiency, and enables one-button reporting to all levels of the organization.

Benefits

  • Provides a springboard for the reuse and reinterpretation of research data
  • Heightens the efficiency of research projects
  • Findings can be cross-checked and new analysis more readily undertaken
  • Enables easy reporting to all levels of the organization

More information

Research Elements

A collection of peer reviewed open access journals that make data, software, materials and methods available for discovery, reuse and citation.

Benefits

  • Uses peer review to increase the credibility of key research outputs normally excluded from traditional journals, making them more controllable and replicable.
  • Facilitates the discoverability of data, software, materials and methods, promoting their visibility to peers, funders and faculty review panels.
  • Fosters collaboration opportunities.
  • Facilitates the transparency and reproducibility through the entire research cycle.

More information

Resource Center

Get free access to thought leadership articles around topics like data sharing, data citation, data management and data management plans, as well as product related content like infographs, factsheets and user guides for Hivebench and Data Manager.

Browse the resource center

Research data management for researchers

Researchers do not need to be convinced of the importance of their research data – they understand this better than anyone – but some might not be fully aware of the potential benefits of sharing research data with the wider community.

  • 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 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.

Mendeley Data

Institutional repository solution where researchers can store, collaborate, find, share and expose their ongoing research data and research data annotations, enabling heightened reusability of research data output.

Benefits

  • Ensures data preservation
  • Allows data to be discoverable within and outside of the institution
  • Enables data sharing and collaboration
  • Provides timely and effective compliance with funding mandates
  • Exposes datasets for increased visibility and impact, including more citations

More information

Hivebench

Electronic Lab Notebook that supports data capture and reproducibility, improves researcher efficiency, and enables one-button reporting to all levels of the organization.

Benefits

  • Provides a springboard for the reuse and reinterpretation of research data
  • Heightens the efficiency of research projects and supports collaboration
  • Allows experiments to be replicated and new analysis more readily undertaken
  • Enables easy reporting to all levels of the organization

More information

Research Elements

A collection of peer reviewed open access journals that make data, software, materials and methods available for discovery, reuse and citation.

Benefits

  • Gives researchers credit and recognition for the work they have done on preparing and running experiments.
  • Makes research data, software, materials and methods easy to find and re-use by utilizing the same search engines employed for the discovery of scientific literature.
  • Facilitates the transparency and reproducibility through the entire research cycle.
  • Increases credibility and reliability of research thanks to peer review and exposure to the wider community.
  • Opens doors for new collaborations and joint grant applications.

More informations

Data Linking

Connects datasets in repositories with research articles on ScienceDirect.

Benefits

  • Promotes discovery and  open accessibility of research data
  • Provides bidirectional links between any data repository and online articles on ScienceDirect
  • Provides one-click access to relevant, trusted data that validates research or drives further investigations

More information

DataSearch (beta)

Search for different data types and formats across a multitude of domain-specific and cross-domain repositories

Benefits

  • Provides single access portal for data discovery across repositories and data sources
  • Makes data from heterogeneous repositories and fields ‘Findable’, as endorsed by FAIR
  • Provides access to a broad pool of data, including figures and tables from journals and repositories
  • Supports quick browsing to evaluate interesting datasets without having to go into detail

More information

About Elsevier RDM

Sharing research data has the potential to make research more reproducible and efficient. Scientific research is a complex process and it is crucial that at the different stages of this process, researchers handle data in a way that will allow sharing and reuse. Creating a good data ecosystem that supports each of these data needs requires collaboration between all parties that are involved in the generation, storage, retrieval and use of data: researchers, librarians, institutions, government offices, funders, and also publishers. Elsevier Research Data Management Services aims to develop tools, processes and standards to enable effective, rigorous and open research data management practices.

Our team of developers, publishers and data thought leaders works closely with academic, government and industry partners to develop a range of industry standards that enable institutions and their researchers to unlock the full potential of research data.

Elsevier contribution to research data community

Force11

Co-founder
Co-author FAIR Data principles
Implementation data citations principles

Scholix

Co-founder

ORCID

Co-founder

STM

Supporting Brussel open data declaration

Pistoia Alliance

Active member

Research Data Alliance

Active member

ICSU

Active Member

Research Elements

Market leader in data journals

Elsevier Research Data Management team

Wouter Haak,
VP RDM Solutions

Peter Cotroneo,
Sr. Product Manager

Elena Zudilova-Seinstra,
Sr. Product Manager

Anita de Waard,
VP Research Data Collaboration

Helena Cousijn,
Sr. Product Manager


Michael Jones,
Sr. Product Manager


Advisory board

Kristin P. Bennett,
Professor,
Rensselaer Polytechnic Institute

Peter Doorn, Director,
Data Archiving and Networked Services
(DANS)

David Groenewegen,
Director,
Monash University

Peter Maccallum,
Head of IT & Scientific Computing team,
University of Cambridge

David Wedge,
Group Leader in Cancer Genomics,
University of Oxford

Deb Verhoeven,
Chair in Media and Communication,
Deakin University

Micah Altman,
Director of Research,
MIT

Claire Carroll,
Project Manager,
University of Strathclyde

Huang Guangbin,
Professor,
Nanyang Technological University

Rebecca Koskela,
Executive Director,
University of New Mexico

Susana Assunta-Sansone,
Associate Director,
University of Oxford