Links & Additional reading

image description

General research data management

DMPonline (Danish version)
 tool for writing data management plans.

The service is provided by the Danish e-infrastructure Cooperation (DeiC), and administered jointly by the Royal Danish Library and the Technical University of Denmark (DTU Library). It is available to all employees at Danish research institutions and their collaborators.

Research Data Alliance Denmark (RDA-DK)
RDA is an international volunteer member-based organisation supporting researchers and research data managers with recommendations on the best practices for research data management. 

The goals of the Danish RDA-node are to:

  • Enhance knowledge about and use of RDA in Danish research communities.
  • Support synergy and coordination between national activities and international activities on RDM, Open data, FAIR data and services etc.
  • Coordinate and support Danish researchers, data professionals etc. in RDA part taking.

Research Data Management skills and training
This toolkit includes a great number of resources on research data management, and has a broad scope.

The Turing Way: A how to guide for reproducible research 
A lightly opinionated guide to reproducible data science. Openly developed and community-led, this online book curates resources, case studies and checklists to make reproducible research "Too easy not to do".

The Danish e-infrastructure Cooperation (DeiC) knowledge portal
The DeiC eScience Competence Center wishes to highlight—and thus boost the accessibility of—Denmark’s eScience resources and competencies for everyone, across borders between universities and academic disciplines. 

Open Science

Open Science MOOC
This MOOC is designed to help equip students and researchers with the skills they need to excel in a modern research environment. It brings together the efforts and resources of hundreds of researchers and practitioners who have all dedicated their time and experience to create a community to help propel research forward.

Fostering the practical implementation of Open Science in Horizon 2020 and beyond.

More on the FAIR principles 

Descriptions of the FAIR guiding principles

Detailed descriptions of the FAIR data principles  

FAIR Across Disciplines  
Danish (DeiC) project that works with the implementation and application of the FAIR principles across science, research disciplines and data types

Top 10 FAIR data and software things
Brief guides (stand alone, self paced training materials), called "Things", that can be used by the research community to understand how they can make their research (data and software) more FAIR. Each discipline/topic has its own specific list.  

The FAIR guiding principles for scientific data management and stewardship 
Article published in Scientific Data (2016).

Turning FAIR into reality
Final report and action plan from the European Commission Expert Group on FAIR Data

A FAIRy tale
A fake story in a trustworthy guide to the FAIR principles for research data

More on FAIR training resources, tools, and services

Metadata resources and tools for librarians 
Extensive list of digital libraries for metadata resources provided by the International Federation of Library Associations and Institutions (IFLA).

Recommended by a number of funders and publishers worldwide, FAIRsharing is a curated, informative and educational resource on data and metadata standards, inter-related to repositories and data policies. It guides consumers to discover, select and use these resources with confidence, and producers to make their resource more discoverable, more widely adopted and cited.

FAIR self-assessment tool
The Australian Research Data Commons’ FAIR data self assessment tool. Using this tool you will be able to assess the ‘FAIRness’ of a dataset and determine how to enhance its FAIRness (where applicable).

FAIR Evaluation Services 
Another tool to test the FAIRness of your dataset.
Evaluating FAIRness is a controversial issue! The Maturity Indicator Authoring Group feel that these concerns can be eased through bringing more clarity regarding the "philosophy" behind FAIRness testing.

CESSDA data management training  
To facilitate teaching in the social sciences and to support continuous learning and training, the CESSDA Training Working Group designs various training materials and resources for finding, managing and preserving data.

TeSS: ELIXIR's Training Portal
Browsing, discovering and organising life sciences training resources

OpenAIRE guide on: How to make your data FAIR
Are you at the start of your project and planning to create research data? Read on to find out how to make it more findable, accessible, interoperable and reusable via the FAIR principles.

How to make your software FAIR 
Five recommendations for making your software FAIR prepared by a collaboration between the Netherlands eScience Center and DANS.

More on data management plans

DMPonline (Danish version)
A tool for writing data management plans.

The service is provided by the Danish e-infrastructure Cooperation (DeiC), and administered jointly by the Royal Danish Library and the Technical University of Denmark (DTU Library). It is available to all employees at Danish research institutions and their collaborators.

Data Stewardship Wizard 
Online DMP wizard with guidance, evaluation of how good you are doing in terms of FAIR metrics, and data stewardship hints. 

LIBER’s DMP Catalogue 
Provides a central hub for DMP's from different disciplines and quality reviews of the DMP's with assessments of the quality of the different parts. The purpose of the catalogue is to inspire researchers and others in the process of writing a Data Management Plan.

More on file formats

CESSDA training on file formats and data conversion 
Best practices, tips and tricks recommended by the Consortium of European Social Science Data Archives (CESSDA) on file formats for operability, file formats for the future, data conversion and possible data loss, and planning ahead for data publication. 

Standards and recommendations on file formats.

More on metadata standards and ontologies

Research Data Alliance (RDA) Metadata Standards Directory

The RDA Metadata Standards Directory lists standards, extensions, tools, and use cases. The directory can be browsed by discipline and subject area.

FAIRsharing Standards
The standards in FAIRsharing are manually curated from a variety of sources, including BioPortalMIBBI and the Equator Network.

Seeing Standards: A visualisation of Cultural Heritage and Humanities Metadata Standards

Jenn Riley has produced a visualisation of the most widely used metadata standards in the cultural heritage sector and the humanities. Standards are grouped according to domain/community and puropse/function.

Digital Curation Centre  
The DCC provides expert advice and practical help on how to store, manage, protect and share digital research data.

DDI Alliance  
The Data Documentation Initiative (DDI) is an international standard for describing the data produced by surveys and other observational methods in the social, behavioral, economic, and health sciences.

BioPortal Ontology Repository   
Their mission is to create software and support services for the application of principled ontologies in biomedical science and clinical care, ranging from tools for application developers to software for end-users.

Medical Subject Headings (MeSH)  
The Medical Subject Headings (MeSH) thesaurus is a controlled and hierarchically-organized vocabulary produced by the National Library of Medicine. It is used for indexing, cataloging, and searching of biomedical and health-related information. MeSH includes the subject headings appearing in MEDLINE/PubMed, the NLM Catalog, and other NLM databases.

International Classification of Diseases (ICD)
ICD is the foundation for the identification of health trends and statistics globally, and the international standard for reporting diseases and health conditions. It is the diagnostic classification standard for all clinical and research purposes. ICD defines the universe of diseases, disorders, injuries and other related health conditions, listed in a comprehensive, hierarchical fashion.  

More on persistent identifiers

What is a persistent identifier? 
Definition given by OpenAIRE

What are persistent identifiers (PIDs)?
Definition given by ORCID's factsheet
Factsheet on the DOI system and the handle system

Persistent identifiers: Consolidated assertions Status of November
An RDA report from 2017 in which experts from 47 European research infrastructure initiatives and ERICs have agreed on a set of assertions about the nature, the creation and the usage of Persistent Identifiers (PIDs). 

FAIRsharing registry of Persistent identifiers

More per subject area

Health Sciences 

FAIR data in Health Research  

Personal Health Train (PHT) aims to connect distributed health data and create value by increasing the use of existing health data for citizens, healthcare, and scientific research.  

Research Data Alliance – Health Data Interest Group  

REDCap is a secure web application for building and managing online surveys and databases.


Natural Sciences and Engineering 

Research Data Alliance – Interest Groups 

Nature Index: "A love letter to your future self": What scientists need to know about FAIR data 

CESAER: Conference of European schools for advanced engineering education and research - Research data management recommendations in Engineering

Recommendations of TU Delft Data Management 

The open source ISA framework and tools help to manage an increasingly diverse set of life science, environmental and biomedical experiments that employ one or a combination of technologies.


Social Sciences and Humanities 
CLARIN ParlaFormat (2019): A workshop on a metadata standard format for parliamentary data  

ParlaCLARIN II (2020): A workshop on a metadata standard format for parliamentary data

PARTHENOS training website for digital humanities  

Harvard Dataverse: A data repository widely used in the Social Sciences  

Text encoding initiative (TEI)  

CESSDA Expert Guide on Data Management  

More on the example research projects

The International Social Survey Programme (ISSP) 
ISSP home website  



Danish Parliament Corpus (DPC) 
The Danish Parliament Corpus (2009-2017) 

Danish Parliament Corpus as part of the FAIR Across Disciplines project:

Additional reading

FAIR principles 

"The FAIR Guiding Principles for scientific data management and stewardship."   

Mark D. Wilkinson, Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg et al. Scientific Data 3 (2016).  



Distributed learning – A possible solution for giving access to sensitive data without physically moving them 

1. "Distributed learning: Developing a predictive model based on data from multiple hospitals without data leaving the hospital – A real life proof of concept."  

Arthur Jochems, Timo M. Deist, Johan Van Soest, Michael Eble, Paul Bulens, Philippe Coucke, Wim Dries, Philippe Lambin, and Andre Dekker. Radiotherapy and Oncology 121, no. 3 (2016): 459-467.  


2."Creating a data exchange strategy for radiotherapy research: Towards federated databases and anonymised public datasets." 

Tomas Skripcak, Claus Belka, Walter Bosch, Carsten Brink, Thomas Brunner, Volker Budach, Daniel Büttner et al. Radiotherapy and Oncology 113, no. 3 (2014): 303-309.  

Some links and link descriptions above have been taken from the FAIR Toolbox that was created as a deliverable in the FAIR Across Disciplines project (2018) by the Danish National Forum for Data Management.