FAIR Connect - Volume 1, issue 1

Authors: Schultes, Erik

Article Type: Research Article

Abstract: Data Stewardship Plan (DSP) templates prompt users to consider various issues but typically have no requirements for actual implementation choices. But as FAIR methodologies mature the DSP will become a more directive “how to” manual for making data FAIR.

Keywords: Data management plan, data stewardship activity, fair principle, knowledge of theories underlying fair implementation, fair evaluation of repositories for data deposition

DOI: 10.3233/FC-221508

Citation: FAIR Connect, vol. 1, no. 1, pp. 1-3, 2023

Authors: Cardoso Silva Ferreira, André | van Reisen, Mirjam

Article Type: Research Article

Abstract: This paper makes the case for the potential use case of nanopublications to expand the interoperability of the Virus Outbreak Data Analysis Network – Africa given their similarity to FAIR Digital Objects.

Keywords: Health records, interoperability, FAIR Digital Objects, nanopublications, VODAN-A

DOI: 10.3233/FC-221512

Citation: FAIR Connect, vol. 1, no. 1, pp. 5-11, 2023

Authors: Schultes, Erik

Article Type: Research Article

Abstract: The FAIR Hourglass provides a framework to organize two general phases of FAIR implementation: FAIRification (top) and FAIR Orchestration (bottom). The center of the hourglass represents the use of widely agreed-upon open, minimal standards ensuring machine-actionability.

Keywords: Data management, data stewardship, FAIR principle, knowledge of theories underlying fair implementation, fair evaluation of repositories for data deposition

DOI: 10.3233/FC-221514

Citation: FAIR Connect, vol. 1, no. 1, pp. 13-17, 2023

Authors: Stocker, Markus | Oelen, Allard | Jaradeh, Mohamad Yaser | Haris, Muhammad | Oghli, Omar Arab | Heidari, Golsa | Hussein, Hassan | Lorenz, Anna-Lena | Kabenamualu, Salomon | Farfar, Kheir Eddine | Prinz, Manuel | Karras, Oliver | D’Souza, Jennifer | Vogt, Lars | Auer, Sören

Article Type: Research Article

Abstract: The Open Research Knowledge Graph is an infrastructure for the production, curation, publication and use of FAIR scientific information. Its mission is to shape a future scholarly publishing and communication where the contents of scholarly articles are FAIR research data.

Keywords: Digital infrastructure, linked open data, digital scholarship, reproducible research, researcher

DOI: 10.3233/FC-221513

Citation: FAIR Connect, vol. 1, no. 1, pp. 19-21, 2023

Authors: Hettne, Kristina Maria | Magagna, Barbara | Gambardella, Alessa An | Suchánek, Marek | Schoots, Fieke | Schultes, Erik

Article Type: Research Article

Abstract: FIP2DMP is a mapping resource between a FAIR Implementation Profile (FIP) and a Data Management Plan (DMP) template implemented in the Data Stewardship Wizard. The main benefit of this resource is to facilitate easier adoption of community choices from the FIP by a researcher in their DMP.

Keywords: Data Management Plan, FAIR implementation profiles, FAIR enabling resource, metadata standards, machine actionable DMPs

DOI: 10.3233/FC-221515

Citation: FAIR Connect, vol. 1, no. 1, pp. 23-27, 2023

Authors: Islam, Sharif

Article Type: Research Article

Abstract: Based on the work of the Research Data Alliance and FAIR Digital Objects Forum, and examples from three different domains, this article highlights the importance and effectiveness of PID level metadata for FAIR implementation and machine actionability.

Keywords: Digital objects, machine readable, persistent identifiers, metadata, PID Kernel Record

DOI: 10.3233/FC-230001

Citation: FAIR Connect, vol. 1, no. 1, pp. 29-34, 2023

Authors: Kawu, Abdullahi Abubakar | O’Sullivan, Dympna | Hederman, Lucy | Van Reisen, Mirjam

Article Type: Research Article

Abstract: Patient Generated Health Data (PGHD) are being considered for integration with health facilities, however little is known about how such data can be made machine-actionable in a way that meets FAIR guidelines. This article proposes a 5-stage framework that can be used to achieve this.

Keywords: Patient Generated Health Data, FAIRification, CEDAR, VODAN, patient health record

DOI: 10.3233/FC-230500

Citation: FAIR Connect, vol. 1, no. 1, pp. 35-40, 2023

Authors: Hooft, Rob | Suchánek, Marek | Pergl, Robert

Article Type: Research Article

Abstract: Data Stewardship Wizard is a tool that facilitates the process of Data Management Planning / Data Stewardship Planning with a focus on the benefit to the research at hand.

Keywords: Questionnaire, expert system, data management, FAIRness assessment, project management activities

DOI: 10.3233/FC-230501

Citation: FAIR Connect, vol. 1, no. 1, pp. 41-43, 2023

Authors: Belliard, Frédérique | Maineri, Angelica | Plomp, Esther | Ramos Padilla, Andrés Felipe | Sun, Junzi | Jeddi, Maryam Zare

Article Type: Research Article

Abstract: The article aims at starting a conversation around a 10-step checklist providing practical recommendations on how to facilitate community discussions around the creation of standards to implement FAIR.

Keywords: FAIR principles (http://purl.obolibrary.org/obo/T4FS_0000447), consensus standard (http://purl.obolibrary.org/obo/T4FS_0000168), Community building (http://purl.obolibrary.org/obo/T4FS_0000249), Curation workflow (http://purl.obolibrary.org/obo/T4FS_0000102), R1.3 (meta)data meet domain-relevant community standards (http://purl.obolibrary.org/obo/T4FS_0000391)

DOI: 10.3233/FC-230505

Citation: FAIR Connect, vol. 1, no. 1, pp. 45-48, 2023

Authors: Gebreslassie, Tesfit Gebremeskel | van Reisen, Mirjam | Amare, Samson Yohannes | Taye, Getu Tadele | Plug, Ruduan

Article Type: Research Article

Abstract: This article describes FHIR as a healthcare data exchange standard to attain the FAIR data principles taking the VODAN-A implementation as a showcase. FHIR relies upon the basic unit “resources” and the interaction among them. A new FAIR enabling architecture is proposed.

Keywords: Fairness assessment (http://purl.obolibrary.org/obo/T4FS_0000252), interoperability (http://purl.obolibrary.org/obo/T4FS_0000020), semantic interoperability (http://purl.obolibrary.org/obo/T4FS_0000188), FAIR principle (http://purl.obolibrary.org/obo/T4FS_0000447)

DOI: 10.3233/FC-230504

Citation: FAIR Connect, vol. 1, no. 1, pp. 49-54, 2023

Authors: Amare, Samson Yohannes | Taye, Getu Tadele | Gebreslassie, Tesfit Gebremeskel | Plug, Ruduan | van Reisen, Mirjam

Article Type: Research Article

Abstract: VODAN Africa has produced FAIR data in low resource settings. Federated machine actionable data is available in a triple store for visiting. Interoperability facets (I1–I3) were followed to achieve semantic interoperability. Vertical interoperability was also realized with DHIS2.

Keywords: Health information system (http://purl.obolibrary.org/obo/NCIT_C18229), FAIR principles (http://purl.obolibrary.org/obo/T4FS_0000447), machine readable (http://purml.obolibrary.org/obo/T4FS_0000256), controlled vocabulary (http://purl.obolibrary.org/obo/T4FS_0000335), semantic interoperability (http://purl.obolibrary.org/obo/T4FS_0000188)

DOI: 10.3233/FC-221510

Citation: FAIR Connect, vol. 1, no. 1, pp. 55-61, 2023

Authors: van Reisen, Mirjam | Amare, Samson Yohannes | Nalugala, Reginald | Taye, Getu Tadele | Gebreselassie, Tesfit Gebremeskil | Medhanyie, Araya Abrha | Schultes, Erik | Mpezamihigo, Mohamed

Article Type: Research Article

Abstract: FAIR-Guidelines can be enriched to include ownership of data, localisation of storing data and stewardship that respects regulatory frameworks relevant to the jurisdiction. It is proposed that this is referred as FAIR-OLR; OLR referring to Ownership, Localisation and Regulation of data production in jurisdiction.

Keywords: Health records (http://purl.obolibrary.org/obo/SCDO_0000492), ownership (http://purl.obolibrary.org/obo/NCIT_C52643), interoperability (http://purl.obolibrary.org/obo/T4FS_0000020), regulation (http://purl.obolibrary.org/obo/NCIT_C68821), FAIR principle (http://purl.obolibrary.org/obo/T4FS_0000447)

DOI: 10.3233/FC-230506

Citation: FAIR Connect, vol. 1, no. 1, pp. 63-69, 2023

Authors: Jetten, Mijke | Schoots, Fieke

Article Type: Research Article

Abstract: This article describes the Data Stewards Interest Group (DSIG), an informal and inclusive community hub for data stewards and like-minded in the Netherlands (and abroad) to share experiences, fostering the (Dutch) national implementation of data stewardship.

Keywords: Data stewardship, data steward (http://purl.obolibrary.org/obo/T4FS_0000178), community building (http://purl.obolibrary.org/obo/T4FS_0000249), peer learning, knowledge exchange

DOI: 10.3233/FC-230503

Citation: FAIR Connect, vol. 1, no. 1, pp. 71-74, 2023