Optimising (RDA) Open Science Frameworks and Guidelines in the context of EOSC

EOSC Future

Research Data Alliance

13 August 2021 - 12:00 am CET

30 November 2021 - 04:00 pm CET

Individuals or Organisations


This call is seeking applications from individuals or organisations around the concept of improving existing technical data frameworks while at the same time leveraging on existing RDA recommendations and outputs. Successful proposals will focus on maintaining, optimising and documenting existing frameworks with particular reference to RDA’s Outputs and Recommendations. Special attention will be given to mapping out how to reimplement the frameworks in the context of EOSC and make relevant documentation available. Proposals are expected to detail a future vision, for example of how the community will build future iterations so that future communities can easily operationalise the frameworks.  

Successful applications should consider existing implementation scenarios and whether further documentation is needed, for example:  Is the guidance up to date, and ready to operationalise; what communities can be involved to update it; are they aligned to new emerging standards, global or European. The aim is to leverage on community resources and review the existing processes for implementation.  


RDA is running a series of calls, in the context of the EOSC Future project, to further enable integration and take up of EOSC services. The purpose of these RDA Open Calls is to engage the community from a bottom up approach to contribute their know-how to EOSC. The purpose of these grants is to enable communities outside of EOSC to leverage EOSC services. This first call iteration specifically targets small projects to show implementation and take up. It aims to support and encourage examples of adoption of existing RDA recommendations and outputs which can benefit the community around EOSC and to promote examples and lessons learnt.  

The scope is wide-ranging and projects should be short, and focused for a period of three months.

This call is closed

Meet the grantees

Vaidas Morkevicius

Vaidas is senior researcher at the Lithuanian Data Archive for Social Sciences and Humanities (LiDA, https://lida.dataverse.lt) which is hosted by the Centre for Data Analysis and Archiving of Kaunas University of Technology. He was part of the team that started developing the LiDA in 2006, and since then is responsible for technological and data curation standards development. The archive is currently actively developing its Dataverse repository and Vaidas is coordinating the works.

Role: Senior researcher
Affiliation: Lithuanian Data Archive for Social Sciences and Humanities

Adam Szaldobagyi

Adam Szaldobagyi is a data steward at the University of Debrecen University and National Library. His educational background includes a BSc degree from Physicist specialized in Applied Physics, certified by the University of Debrecen. His current fields of interest include open science, research data management, research support. One of the most important areas of this is to familiarize Hungarian researchers with the various research data management methods and possibilities, taking into account international and national FAIR expectations. 

Role: Data steward
Affiliation: University of Debrecen

Anikó Kiss

Anikó Kiss is a research support librarian at University of Debrecen, University and National Library. Her primary work includes dissemination of Open Science activities in the country and providing professional support for researchers in publishing their scientific articles open access. Related to her dissemination activities she plays a key role in spreading information about scientific communication and its changes in the 21st century through various websites, the instantscience.hu blog for young researchers and the openscience.hu informational website.

Role: Research support librarian
Affiliation: University of Debrecen

Judit Fazekas-Paragh

Judit Fazekas-Paragh is a research support librarian and currently the head of DEENK's Education and Research Support Department. Her primary work is to deepen open science guidelines at the national level. As an OpenAIRE NOAD and HUNOR working group coordinator, she aids Hungarian stakeholders to connect to the open science discourse of the European Union. Her responsibilities include expanding open access publishing, introducing FAIR principles and research data management, conducting related trainings, and support the development of open infrastructures.

Role: Head Of Department
Affiliation: University of Debrecen

Ann Mc Cartney

Ann graduated top of her class with a BSc in Genetics and Cell Biology in 2012 from Dublin City University, Ireland. She then received a national IRCSET scholarship to carry out a PhD in Bioinformatics and Molecular Evolution which she completed in 2012. This focused on using mathematical networks to uncover novel gene transcripts across primate species. From here, Ann went on to carry out a two year Postdoctoral Fellow position with 'Genomics Aotearoa' in Aotearoa, New Zealand.

Role: Postdoctoral Research Fellow in NIH


This programme is designed to support the integration of disciplinary groups and take up of services. RDA welcomes applications from people or groups who are committed to RDA, FAIR-isation of data. These can be junior/senior researchers, mid career data professionals, and data scientists. They can be based in research groups or institutions, or SMEs across Europe, provided they meet the criteria below. Each grant will be awarded for €12.500 and a total of 18 grants with this focus will be awarded over the lifetime of the EOSC Future project.

The following outcomes should be considered in successful applications:   

  • Analysis of existing technical documentation and if it is fit for purpose, where it can be optimised.  
  • RDA Recommendations: promoting existing recommendations within a community.  
  • Translating an RDA recommendation into a technical document or a manual and set out how future communities can use it. 
  • Provide a model for how the RDA recommendations would work in the EOSC environment, for example integration into horizontal or disciplinary infrastructures and interfaces and implementation scenarios for the EOSC federating core
  • Frameworks should be based on existing RDA outputs and recommendations. 
  • Applicants should demonstrate that they have been or are currently involved in RDA as an active member, participant, chair or contributor to a WG or IG especially in the last 12-18 months. 
  • Be proactive and willing to contribute to RDA recommendations or outputs testing and adoption particularly in European institutions. 
  • Have a good understanding of EOSC, the FAIR movement. 
  • Reside and/or work in a EU country or associate countries

Further conditions 

  • This call is not open to members of the EOSC Future consortium. Staff working on the EOSC Future project (i.e. directly funded through a beneficiary (its department or unit executing EOSC Future activities), as a LTP or seconded personnel) are not eligible to apply for grants under the RDA Open Calls and will be asked to tick a Declaration of Honour box upon application. Other staff of these participating institutions are eligible. 
  • If the evaluator’s institution applies for an RDA Open Call, the evaluator should declare their conflict of interest in reviewing the application. 
  • All successful applicants will have to provide a plan for a sound dissemination of the outputs created, openly licensed. A mid-term and final term report will be submitted, following a contractual agreement, highlighting progress, use cases and lessons learned.  
  • All results will be made available on the RDA site for 4 years. Successful applicants may be asked to share their details (photo, bio) for dissemination purposes.  
  • The work will need to be completed within 3 months within receipt of award. 


Your proposal will take into account the RDA Guiding principles and demonstrate commitment to it. Proposals should drive the principles of openness and community activities.  


The applications will be evaluated by experts with insights to the RDA and group recommendations who have no conflict of interest (the applicant is not employed by the evaluator’s organisation nor is/are the recommendation(s) a direct result of their work). 

Selection criteria 

Candidates will be asked to submit an application that will be evaluated according to the following criteria:

  1. Excellence:   
    • A statement describing the commitment to the vision of EOSC, the FAIR movement, national Open Science agendas (implementation), links to European data infrastructures or similar federated infrastructures. (25%)  
    • A brief summary of previous and current activities demonstrating the applicant’s involvement and contributions to RDA related activities, Working/Interest Groups, development and/or promotion and/or adoption of RDA Recommendations and Outputs in European Institutions. (25%)  
  2. Impact: Sustainability and impact potential of the proposal and how this can be carried forward within the context of EOSC and RDA. Applicants should put forward plans for continuing the work beyond the funding period. Methodology of application. The proposal must be thought through, well-written, clear and demonstrate the methodology works. (25%)  
  3. Implementation (quality and efficiency):   
    • A summary of the proposed existing framework, how it is relevant to RDA. Outline the scenario for optimisation and update, the relationship to and impact on EOSC, and how an accompanying technical update can be created. (20%)   
    • Evaluation will also consider the following criteria to establish balanced and diverse distribution of the grants:       
      • Geographical balance,       
      • Gender balance,       
      • Preference to candidates in underrepresented fields within RDA. (5%)  


Successful applicants will receive a grant of 12.500€. 

If you have further questions, please do not hesitate to contact us: Info@eoscfuture.eu

This call is closed

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