A research data management (RDM) community for ELIXIR

Flora D'anna; Niclas Jareborg; Mijke Jetten; Minna Ahokas; Pinar Alper; Robert Andrews; Korbinian Bösl; Teresa D’altri; Daniel Faria; Nazeefa Fatima; Siiri Fuchs; Clare Garrard; Wei Gu; Katharina f. Heil; Yvonne Kallberg; Flavio Licciulli; Nils-Christian Lübke; Ana m. p. Melo; Ivan Mičetić; Jorge Oliveira; Anastasis Oulas; Patricia m. Palagi; Krzysztof Poterlowicz; Xenia Perez-Sitja; Patrick Ruch; Susanna-Assunta Sansone; Helena Schnitzer; Celia Van gelder; Thanasis Vergoulis; Daniel Wibberg; Ulrike Wittig; Brane Leskošek; Jiri Vondrasek; Munazah Andrabi

doi:10.12688/f1000research.146301.1

A research data management (RDM) community for ELIXIR

Flora D'anna, Niclas Jareborg, Mijke Jetten, Minna Ahokas, Pinar Alper, Robert Andrews, Korbinian Bösl, Teresa D’altri, Daniel Faria, Nazeefa Fatima, Siiri Fuchs, Clare Garrard, Wei Gu, Katharina f. Heil, Yvonne Kallberg, Flavio Licciulli, Nils-Christian Lübke, Ana m. p. Melo, Ivan Mičetić, Jorge OliveiraAnastasis Oulas, Patricia m. Palagi, Krzysztof Poterlowicz, Xenia Perez-Sitja, Patrick Ruch, Susanna-Assunta Sansone, Helena Schnitzer, Celia Van gelder, Thanasis Vergoulis, Daniel Wibberg, Ulrike Wittig, Brane Leskošek, Jiri Vondrasek, Munazah Andrabi

Information Management

Luxembourg National Data Service

Research output: Contribution to journal › Article › peer-review

Abstract

Research data management (RDM) is central to the implementation of the FAIR (Findable Accessible, Interoperable, Reusable) and Open Science principles. Recognising the importance of RDM, ELIXIR Platforms and Nodes have invested in RDM and launched various projects and initiatives to ensure good data management practices for scientific excellence. These projects have resulted in a rich set of tools and resources highly valuable for FAIR data management. However, these resources remain scattered across projects and ELIXIR structures, making their dissemination and application challenging. Therefore, it becomes imminent to coordinate these efforts for sustainable and harmonised RDM practices with dedicated forums for RDM professionals to exchange knowledge and share resources.

The proposed ELIXIR RDM Community will bring together RDM experts to develop ELIXIR’s vision and coordinate its activities, taking advantage of the available assets. It aims to coordinate RDM best practices and illustrate how to use the existing ELIXIR RDM services. The Community will be built around three integral pillars, namely, a network of RDM professionals, RDM knowledge management and RDM training expertise and resources. It will also engage with external stakeholders to leverage benefits and provide a forum to RDM professionals for regular knowledge exchange, capacity building and development of harmonised RDM practices, keeping in line with the overall scope of the RDM Community.

In the short term, the Community aims to build upon the existing resources and ensure that the content of these remain up to date and fit for purpose. In the long run, the Community will aim to strengthen the skills and knowledge of its RDM professionals to support the emerging needs of the scientific community. The Community will also devise an effective strategy to engage with other ELIXIR structures and international stakeholders to influence and align with developments and solutions in the RDM field.

Original language	English
Article number	230
Journal	F1000Research
Volume	13
Issue number	ELIXIR
DOIs	https://doi.org/10.12688/f1000research.146301.1
Publication status	Published - 27 Mar 2024

Keywords

Data management
Data stewardship
Data management plans
FAIR principles
community standards
Data management training
Research data life cycle
Common best practices

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10.12688/f1000research.146301.1Licence: CC BY

EOSC4Cancer
Goble, C. (PI), Andrabi, M. (Researcher) & Soiland-Reyes, S. (CoI)
1/09/22 → 31/05/25
Project: Research
UK-2022-EIP2: EIP Knowledge Hub
Goble, C. (PI)
1/01/22 → 31/12/23
Project: Research
ELIXIR-UK: FAIR Data Stewardship training (DaSH)
Goble, C. (PI), Sufi, S. A. (Grant contributor) & Andrabi, M. (Researcher)
1/04/21 → 31/03/23
Project: Research

Cite this

D'anna, F., Jareborg, N., Jetten, M., Ahokas, M., Alper, P., Andrews, R., Bösl, K., D’altri, T., Faria, D., Fatima, N., Fuchs, S., Garrard, C., Gu, W., Heil, K. F., Kallberg, Y., Licciulli, F., Lübke, N.-C., Melo, A. M. P., Mičetić, I., ... Andrabi, M. (2024). A research data management (RDM) community for ELIXIR. F1000Research, 13(ELIXIR), Article 230. https://doi.org/10.12688/f1000research.146301.1

@article{6b813ebde70d4a8badbba07ad8b69031,

title = "A research data management (RDM) community for ELIXIR",

abstract = "Research data management (RDM) is central to the implementation of the FAIR (Findable Accessible, Interoperable, Reusable) and Open Science principles. Recognising the importance of RDM, ELIXIR Platforms and Nodes have invested in RDM and launched various projects and initiatives to ensure good data management practices for scientific excellence. These projects have resulted in a rich set of tools and resources highly valuable for FAIR data management. However, these resources remain scattered across projects and ELIXIR structures, making their dissemination and application challenging. Therefore, it becomes imminent to coordinate these efforts for sustainable and harmonised RDM practices with dedicated forums for RDM professionals to exchange knowledge and share resources.The proposed ELIXIR RDM Community will bring together RDM experts to develop ELIXIR{\textquoteright}s vision and coordinate its activities, taking advantage of the available assets. It aims to coordinate RDM best practices and illustrate how to use the existing ELIXIR RDM services. The Community will be built around three integral pillars, namely, a network of RDM professionals, RDM knowledge management and RDM training expertise and resources. It will also engage with external stakeholders to leverage benefits and provide a forum to RDM professionals for regular knowledge exchange, capacity building and development of harmonised RDM practices, keeping in line with the overall scope of the RDM Community.In the short term, the Community aims to build upon the existing resources and ensure that the content of these remain up to date and fit for purpose. In the long run, the Community will aim to strengthen the skills and knowledge of its RDM professionals to support the emerging needs of the scientific community. The Community will also devise an effective strategy to engage with other ELIXIR structures and international stakeholders to influence and align with developments and solutions in the RDM field.",

keywords = "Data management, Data stewardship, Data management plans, FAIR principles, community standards, Data management training, Research data life cycle, Common best practices",

author = "Flora D'anna and Niclas Jareborg and Mijke Jetten and Minna Ahokas and Pinar Alper and Robert Andrews and Korbinian B{\"o}sl and Teresa D{\textquoteright}altri and Daniel Faria and Nazeefa Fatima and Siiri Fuchs and Clare Garrard and Wei Gu and Heil, {Katharina f.} and Yvonne Kallberg and Flavio Licciulli and Nils-Christian L{\"u}bke and Melo, {Ana m. p.} and Ivan Mi{\v c}eti{\'c} and Jorge Oliveira and Anastasis Oulas and Palagi, {Patricia m.} and Krzysztof Poterlowicz and Xenia Perez-Sitja and Patrick Ruch and Susanna-Assunta Sansone and Helena Schnitzer and {Van gelder}, Celia and Thanasis Vergoulis and Daniel Wibberg and Ulrike Wittig and Brane Lesko{\v s}ek and Jiri Vondrasek and Munazah Andrabi",

year = "2024",

month = mar,

day = "27",

doi = "10.12688/f1000research.146301.1",

language = "English",

volume = "13",

journal = "F1000Research",

issn = "2046-1402",

publisher = "Faculty of 1000 Ltd",

number = "ELIXIR",

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D'anna, F, Jareborg, N, Jetten, M, Ahokas, M, Alper, P, Andrews, R, Bösl, K, D’altri, T, Faria, D, Fatima, N, Fuchs, S, Garrard, C, Gu, W, Heil, KF, Kallberg, Y, Licciulli, F, Lübke, N-C, Melo, AMP, Mičetić, I, Oliveira, J, Oulas, A, Palagi, PM, Poterlowicz, K, Perez-Sitja, X, Ruch, P, Sansone, S-A, Schnitzer, H, Van gelder, C, Vergoulis, T, Wibberg, D, Wittig, U, Leskošek, B, Vondrasek, J & Andrabi, M 2024, 'A research data management (RDM) community for ELIXIR', F1000Research, vol. 13, no. ELIXIR, 230. https://doi.org/10.12688/f1000research.146301.1

TY - JOUR

T1 - A research data management (RDM) community for ELIXIR

AU - D'anna, Flora

AU - Jareborg, Niclas

AU - Jetten, Mijke

AU - Ahokas, Minna

AU - Alper, Pinar

AU - Andrews, Robert

AU - Bösl, Korbinian

AU - D’altri, Teresa

AU - Faria, Daniel

AU - Fatima, Nazeefa

AU - Fuchs, Siiri

AU - Garrard, Clare

AU - Gu, Wei

AU - Heil, Katharina f.

AU - Kallberg, Yvonne

AU - Licciulli, Flavio

AU - Lübke, Nils-Christian

AU - Melo, Ana m. p.

AU - Mičetić, Ivan

AU - Oliveira, Jorge

AU - Oulas, Anastasis

AU - Palagi, Patricia m.

AU - Poterlowicz, Krzysztof

AU - Perez-Sitja, Xenia

AU - Ruch, Patrick

AU - Sansone, Susanna-Assunta

AU - Schnitzer, Helena

AU - Van gelder, Celia

AU - Vergoulis, Thanasis

AU - Wibberg, Daniel

AU - Wittig, Ulrike

AU - Leskošek, Brane

AU - Vondrasek, Jiri

AU - Andrabi, Munazah

PY - 2024/3/27

Y1 - 2024/3/27

N2 - Research data management (RDM) is central to the implementation of the FAIR (Findable Accessible, Interoperable, Reusable) and Open Science principles. Recognising the importance of RDM, ELIXIR Platforms and Nodes have invested in RDM and launched various projects and initiatives to ensure good data management practices for scientific excellence. These projects have resulted in a rich set of tools and resources highly valuable for FAIR data management. However, these resources remain scattered across projects and ELIXIR structures, making their dissemination and application challenging. Therefore, it becomes imminent to coordinate these efforts for sustainable and harmonised RDM practices with dedicated forums for RDM professionals to exchange knowledge and share resources.The proposed ELIXIR RDM Community will bring together RDM experts to develop ELIXIR’s vision and coordinate its activities, taking advantage of the available assets. It aims to coordinate RDM best practices and illustrate how to use the existing ELIXIR RDM services. The Community will be built around three integral pillars, namely, a network of RDM professionals, RDM knowledge management and RDM training expertise and resources. It will also engage with external stakeholders to leverage benefits and provide a forum to RDM professionals for regular knowledge exchange, capacity building and development of harmonised RDM practices, keeping in line with the overall scope of the RDM Community.In the short term, the Community aims to build upon the existing resources and ensure that the content of these remain up to date and fit for purpose. In the long run, the Community will aim to strengthen the skills and knowledge of its RDM professionals to support the emerging needs of the scientific community. The Community will also devise an effective strategy to engage with other ELIXIR structures and international stakeholders to influence and align with developments and solutions in the RDM field.

AB - Research data management (RDM) is central to the implementation of the FAIR (Findable Accessible, Interoperable, Reusable) and Open Science principles. Recognising the importance of RDM, ELIXIR Platforms and Nodes have invested in RDM and launched various projects and initiatives to ensure good data management practices for scientific excellence. These projects have resulted in a rich set of tools and resources highly valuable for FAIR data management. However, these resources remain scattered across projects and ELIXIR structures, making their dissemination and application challenging. Therefore, it becomes imminent to coordinate these efforts for sustainable and harmonised RDM practices with dedicated forums for RDM professionals to exchange knowledge and share resources.The proposed ELIXIR RDM Community will bring together RDM experts to develop ELIXIR’s vision and coordinate its activities, taking advantage of the available assets. It aims to coordinate RDM best practices and illustrate how to use the existing ELIXIR RDM services. The Community will be built around three integral pillars, namely, a network of RDM professionals, RDM knowledge management and RDM training expertise and resources. It will also engage with external stakeholders to leverage benefits and provide a forum to RDM professionals for regular knowledge exchange, capacity building and development of harmonised RDM practices, keeping in line with the overall scope of the RDM Community.In the short term, the Community aims to build upon the existing resources and ensure that the content of these remain up to date and fit for purpose. In the long run, the Community will aim to strengthen the skills and knowledge of its RDM professionals to support the emerging needs of the scientific community. The Community will also devise an effective strategy to engage with other ELIXIR structures and international stakeholders to influence and align with developments and solutions in the RDM field.

KW - Data management

KW - Data stewardship

KW - Data management plans

KW - FAIR principles

KW - community standards

KW - Data management training

KW - Research data life cycle

KW - Common best practices

U2 - 10.12688/f1000research.146301.1

DO - 10.12688/f1000research.146301.1

M3 - Article

SN - 2046-1402

VL - 13

JO - F1000Research

JF - F1000Research

IS - ELIXIR

M1 - 230

ER -

A research data management (RDM) community for ELIXIR

Abstract

Keywords

Access to Document

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Projects

EOSC4Cancer

UK-2022-EIP2: EIP Knowledge Hub

ELIXIR-UK: FAIR Data Stewardship training (DaSH)

Cite this