Research Support Portal

Research data management checklist

Good management of your research data improves the quality of the data and makes your data accessible and easier to find. The Centre for Digital Scholarship at Leiden University Libraries (UBL) has created a step-by-step plan for data management at every stage of your research. Follow the instructions in the plan to increase the impact of your research. 

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Centre for Digital Scholarship Leiden University Libraries (UBL)

Data management in grant applications

Most research funders ask you to include a section on data management in your grant application. Please contact the Centre for Digital Scholarship for advice on how to write the data management section of your application. 

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Centre for Digital Scholarship Leiden University Libraries (UBL)

About data management

Research data management (RDM) essentially means creating, storing, maintaining, disclosing, archiving and long-term preserving research data. Good data management is important in order to:

  • safeguard the high quality of research data, and ensure that the data is findable and accessible;
  • increase the visibility - and impact - or research data; 
  • ensure compliance with the requirements of Leiden University and research funders.

If you have any questions, you can contact the data management specialists at your faculty/institute or at the Centre for Digital Scholarship.  

The Centre for Digital Scholarship also offers checklists and templates and training courses on data management. 

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Data management support

If you have any questions about research data management, you can contact the data management specialists at your faculty/institute or at the Centre for Digital Scholarship

Data management support Archaeology

Contact
Wouter Kool Information Manager

Data management support Humanities

The Faculty of Humanities provides advice and support on all aspects of data management. 

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Contact
Rob Goedemans Information Manager
Contact
Maarten Hijzelendoorn Consultant ICT

Data management support Centre for Linguistics

Contact
Andreea Geambasu Lab manager

Data management support Law

The Faculty of Law provides advice on all aspects of data management relating to research, including the Data Management Plan (DMP).

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Contact
Mareike Boom Data Steward

Data management support Medicine/LUMC

LUMC has its own data management guidelines and support. Information and contact details for Advanced Data Management (ADM) can be found on Albinusnet, the intranet for LUMC. 

Information on LUMC's data management plan (DMP) template can be found at: DMPonline.

For advice on writing a DMP, contact the LUMC Research Support Desk (RSD): RSD website.  

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Data management support Social and Behavioural Sciences

Both the Institute of Education and Child Studies and the Institute of  Psychology have contactpersons for data management and make use of DataverseNL.

Contact
SOLO Lab Support

Data management support Education and Child Studies

Contact
Mitch van Geel Associate Professor

Data management support Psychology

Contact
Sander Nieuwenhuis Professor of Cognitive Neuroscience of Decision Making

Data management support University

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Centre for Digital Scholarship Leiden University Libraries (UBL)

Data Management Regulation

Leiden University’s Data Management Regulation sets out the university's policy on the management, storage and provision of research data. It also offers advice about how to draft relevant faculty policy.

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Centre for Digital Scholarship Leiden University Libraries (UBL)

Data management plan (DMP)

Your data management plan sets out how you will handle your research data. How do you write a good data management plan? The Centre for Digital Scholarship at Leiden University Libraries offers relevant training programmes and online checklists to help you.

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Centre for Digital Scholarship Leiden University Libraries (UBL)

Research data services catalogue

The research data services catalogue contains information on all the facilities for data (storage) for your research. Consult the catalogue for example when:

  • writing a project proposal
  • requesting storage capacity
  • thinking about archiving

You will then be in a position to make well-considered choices about data management and data storage.

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Centre for Digital Scholarship Leiden University Libraries (UBL)

Virtual Research Environment (VRE)

The Virtual Research Environment (VRE) is a useful tool for collaborating remotely on a research project. This project management tool lets you share your data, documents and project administration securely and in a manageable form.

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Centre for Digital Scholarship Leiden University Libraries (UBL)

MRI Data Sharing Guide

When you share MRI data gained from research using MRI scanners, it is important to ensure that these data are well managed. You are required to take all possible measures to protect privacy.

Contact the Centre for Digital Scholarship for best practices for handling these sensitive data, including a flow chart containing information about sharing MRI data. 

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Centre for Digital Scholarship Leiden University Libraries (UBL)

Long-term data retention

All research data must be retained securely for the long term. This means that the integrity, availability and – where necessary – confidentiality of the data must be guaranteed.

Currently, these institutes offer support for Dataverse:

Long-term data retention Humanities

Long term data retention Centre for Linguistics

The Faculty of Humanities offers DANS Dataverse for the long term retention of research data. Researchers can start adding data (including metadata) from finished parts of their research already during the research project. A Dataverse entry can be created for them right at the start of the project.

Currently, only the Institute for Linguistics (LUCL) offers support for Dataverse. LUCL-researchers can contact Andreea Geambasu for help with Dataverse. Researchers from other institutes of the Faculty of Humanities with questions on long term data storage can contact the IFZ department

Contact
Andreea Geambasu Lab manager

Long-term data retention Social and Behavioural Sciences

Long-term data retention Education and Child Studies

All research data must be retained securely for the long term. This means that the integrity, availability and – where necessary – confidentiality of the data must be guaranteed. Both the Institute of Education and Child Studies and the Institute of  Psychology use DataverseNL to archive academic research data. 

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Long-term data retention Psychology

All research data must be retained securely for the long term. This means that the integrity, availability and – where necessary – confidentiality of the data must be guaranteed. Both the Institute of Education and Child Studies and the Institute of  Psychology use DataverseNL to archive academic research data. 

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