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Open Research Data

Open Research Data (ORD) is rapidly becoming an integral part of many research projects. The Library can support researchers on policies, data management plans, data storage and further information on ORD.

The Library can support researchers on the following issues:

The life cycle of research data

Illustration of an infographic on the life cycle of research data

Illustration: ETH Library

How to store datasets in a repository

Requirements of funders

Funders may require you to comply with specific criteria for data management and storage, depending on the nature of your research data. The most important ones are captured by FAIR.

The FAIR principles

  • Findable
  • Accessible
  • Interoperable
  • Re-usable

These are the standard criteria in Europe for data storage. The FAIR criteria will make sure that data are managed in such a way as to benefit scientific research as a whole. Make sure your data will be stored in a repository which complies with FAIR. Examples of repositories that comply with FAIR: re3data.org, and for Switzerland in particular: DLCM long-term preservation and OLOS.
 

Costs of storage

Depending on the size of the datasets and the period of storage, repositories may charge you a fee. Make sure you include these in your planning. The SNF will reimburse storage costs for funded projects.

A data management plan (DMP) is a formal document you develop at the start of your research project which outlines all aspects of managing your data through its life cycle, both during and after your project.

In your DMP you must describe how, and under which conditions, you will make data available to other researchers. In case you cannot make data available to others, you will have to specify why not.
 

Potential benefits

Data management is all about making your work more efficient, and increasing the value of your data to yourself and to others. Both during and after your research.

Thinking about data management in advance will give you the following advantages:

  • Comply with funder mandates
  • Make research reproducible
  • Comply with data protection law
  • Increase research impact
  • Foster and inspire future research
     

Writing a data management plan

The following templates may help you writing a data management plan

The following policies are relevant with respect to ORD.

Schweizerischer Nationalfonds SNF

Since 2017 The Swiss National Science Foundation requires most projects to add a data management plan to any application for funding. See SNF - Open Research Data.
 

European Union

As part of the overall Horizon 2020 plan, one of the EU’s main strategic aims is to foster open data in scientific practice. In order to apply for funding, a data management plan has to be submitted.
 

Other funders, journals

Increasingly other funders as well as publishers will demand data management plans and access to data as prerequisites for funding or publishing. Open data are becoming part of practicing good science.

Increasingly other funders as well as publishers will demand data management plans and access to data as prerequisites for funding or publishing. Open data are becoming part of practicing good science.

The library offers first level support on data management plans and FAIR criteria and metadata.

Other tools and guidelines

Legal issues

How will you handle copyright and intellectual property rights issues? What about privacy concerns end ethical considerations? Do you need to make security arrangements for sensitive data?
You can ask for advice on these important issues at a DLCM legal consultation desk (free of charge).
 

Courses, presentations and tutorials

Trainings modules for different areas related to ORD are offered by a number of DLCM partners. These areas include legal and security aspects but also more technical and IT oriented aspects of data management. You will find these modules here.
 

Metadata

You will find guidelines and tools for the proper use of metadata here.

Contact

Jacobus van Seumeren
Data management plans
FAIR criteria and metadata
jacobus.vanseumerenunisg.ch
+41 71 224 2285

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