Aligning Data Management Plans with Community Standards Using FAIR Implementation Profiles

Navroop K. Singh; Shuai Wang; Angelica Maineri; Tycho Hofstra; Mark Bruyneel; Stephanie van de Sandt; Ronald Siebes; Jacco van Ossenbruggen; Tobias Kuhn

doi:10.1007/978-3-031-81974-2_14

Aligning Data Management Plans with Community Standards Using FAIR Implementation Profiles

Navroop K. Singh
, Shuai Wang^*
, Angelica Maineri^*
, Tycho Hofstra
, Mark Bruyneel
, Stephanie van de Sandt
, Ronald Siebes
, Jacco van Ossenbruggen
, Tobias Kuhn

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Data Management Plans (DMPs) are often required by organizations and funding agencies for research projects. One of the goals of DMPs is to capture how researchers plan to comply with some aspects of the Findability, Accessibility, Interoperability, and Reusability (FAIR) principles. When writing DMPs, taking into account community standards for managing and publishing research data can be a challenge for researchers. Community standards are often documented informally or communicated by word of mouth. The introduction of FAIR Implementation Profiles (FIPs) offers a structured way to capture such standards. This paper investigates with a user study, whether FIPs can serve as suggestions for aligning research data management with community standards. Through a customized interface with the related information extracted from FIPs as suggestions, we study whether participants take such suggestions into account when writing DMPs.

Original language	English
Title of host publication	Metadata and Semantic Research - 18th Research Conference, MTSR 2024, Revised Selected Papers
Subtitle of host publication	18th Research Conference, MTSR 2024, Athens, Greece, November 19–22, 2024, Revised Selected Papers
Editors	Michalis Sfakakis, Matthew Damigos, Emmanouel Garoufallou, Athena Salaba, Christos Papatheodorou
Publisher	Springer
Pages	159-171
Number of pages	13
ISBN (Electronic)	9783031819742
ISBN (Print)	9783031819735
DOIs	https://doi.org/10.1007/978-3-031-81974-2_14
Publication status	Published - 26 Feb 2025
Externally published	Yes
Event	18th Research Conference on Metadata and Semantic Research, MTSR 2024 - , Greece Duration: 19 Nov 2024 → 22 Nov 2024

Publication series

Name	Communications in Computer and Information Science
Volume	2331 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	18th Research Conference on Metadata and Semantic Research, MTSR 2024
Country/Territory	Greece
Period	19/11/24 → 22/11/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Keywords

Data Management Plans
FAIR Implementation Profile
FAIR Principles

Access to Document

10.1007/978-3-031-81974-2_14

Cite this

Singh, N. K., Wang, S., Maineri, A., Hofstra, T., Bruyneel, M., de Sandt, S. V., Siebes, R., van Ossenbruggen, J., & Kuhn, T. (2025). Aligning Data Management Plans with Community Standards Using FAIR Implementation Profiles. In M. Sfakakis, M. Damigos, E. Garoufallou, A. Salaba, & C. Papatheodorou (Eds.), Metadata and Semantic Research - 18th Research Conference, MTSR 2024, Revised Selected Papers: 18th Research Conference, MTSR 2024, Athens, Greece, November 19–22, 2024, Revised Selected Papers (pp. 159-171). (Communications in Computer and Information Science; Vol. 2331 CCIS). Springer. https://doi.org/10.1007/978-3-031-81974-2_14

Singh, Navroop K. ; Wang, Shuai ; Maineri, Angelica et al. / Aligning Data Management Plans with Community Standards Using FAIR Implementation Profiles. Metadata and Semantic Research - 18th Research Conference, MTSR 2024, Revised Selected Papers: 18th Research Conference, MTSR 2024, Athens, Greece, November 19–22, 2024, Revised Selected Papers. editor / Michalis Sfakakis ; Matthew Damigos ; Emmanouel Garoufallou ; Athena Salaba ; Christos Papatheodorou. Springer, 2025. pp. 159-171 (Communications in Computer and Information Science).

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abstract = "Data Management Plans (DMPs) are often required by organizations and funding agencies for research projects. One of the goals of DMPs is to capture how researchers plan to comply with some aspects of the Findability, Accessibility, Interoperability, and Reusability (FAIR) principles. When writing DMPs, taking into account community standards for managing and publishing research data can be a challenge for researchers. Community standards are often documented informally or communicated by word of mouth. The introduction of FAIR Implementation Profiles (FIPs) offers a structured way to capture such standards. This paper investigates with a user study, whether FIPs can serve as suggestions for aligning research data management with community standards. Through a customized interface with the related information extracted from FIPs as suggestions, we study whether participants take such suggestions into account when writing DMPs.",

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Singh, NK, Wang, S, Maineri, A, Hofstra, T, Bruyneel, M, de Sandt, SV, Siebes, R, van Ossenbruggen, J & Kuhn, T 2025, Aligning Data Management Plans with Community Standards Using FAIR Implementation Profiles. in M Sfakakis, M Damigos, E Garoufallou, A Salaba & C Papatheodorou (eds), Metadata and Semantic Research - 18th Research Conference, MTSR 2024, Revised Selected Papers: 18th Research Conference, MTSR 2024, Athens, Greece, November 19–22, 2024, Revised Selected Papers. Communications in Computer and Information Science, vol. 2331 CCIS, Springer, pp. 159-171, 18th Research Conference on Metadata and Semantic Research, MTSR 2024, Greece, 19/11/24. https://doi.org/10.1007/978-3-031-81974-2_14

Aligning Data Management Plans with Community Standards Using FAIR Implementation Profiles. / Singh, Navroop K.; Wang, Shuai; Maineri, Angelica et al.
Metadata and Semantic Research - 18th Research Conference, MTSR 2024, Revised Selected Papers: 18th Research Conference, MTSR 2024, Athens, Greece, November 19–22, 2024, Revised Selected Papers. ed. / Michalis Sfakakis; Matthew Damigos; Emmanouel Garoufallou; Athena Salaba; Christos Papatheodorou. Springer, 2025. p. 159-171 (Communications in Computer and Information Science; Vol. 2331 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - de Sandt, Stephanie van

AU - Siebes, Ronald

AU - van Ossenbruggen, Jacco

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AB - Data Management Plans (DMPs) are often required by organizations and funding agencies for research projects. One of the goals of DMPs is to capture how researchers plan to comply with some aspects of the Findability, Accessibility, Interoperability, and Reusability (FAIR) principles. When writing DMPs, taking into account community standards for managing and publishing research data can be a challenge for researchers. Community standards are often documented informally or communicated by word of mouth. The introduction of FAIR Implementation Profiles (FIPs) offers a structured way to capture such standards. This paper investigates with a user study, whether FIPs can serve as suggestions for aligning research data management with community standards. Through a customized interface with the related information extracted from FIPs as suggestions, we study whether participants take such suggestions into account when writing DMPs.

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Singh NK, Wang S, Maineri A, Hofstra T, Bruyneel M, de Sandt SV et al. Aligning Data Management Plans with Community Standards Using FAIR Implementation Profiles. In Sfakakis M, Damigos M, Garoufallou E, Salaba A, Papatheodorou C, editors, Metadata and Semantic Research - 18th Research Conference, MTSR 2024, Revised Selected Papers: 18th Research Conference, MTSR 2024, Athens, Greece, November 19–22, 2024, Revised Selected Papers. Springer. 2025. p. 159-171. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-81974-2_14