This template enables the formal representation of provenance as structured, time-bound ownership events. Object History Publications The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. The templates follow the FAIR Funder Framework co-developed with the GO FAIR Foundation and ZonMw. Find out more about MAC at www.lmac.nl MAC | Metabolomics and Analytics Center Core Model: Declaring a FAIR Digital Object 6. Method 7. Article 3. Research Project 1. Research Programme 5. DataSet 4. Data Management Plan 2. Call for Proposals The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. The templates follow the FAIR Funder Framework co-developed with the GO FAIR Foundation and ZonMw. Find out more about MAC at https://www.universiteitleiden.nl/en/science/drug-research/metabolomics-and-analytics-centre MAC | Metabolomics and Analytics Center Core Model: Declaring a FAIR Digital Object 6. Method 7. Article 3. Research Project 1. Research Programme 5. DataSet 4. Data Management Plan 2. Call for Proposals The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. The templates follow the FAIR Funder Framework co-developed with the GO FAIR Foundation and ZonMw. Find out more about MAC at https://www.universiteitleiden.nl/en/science/drug-research/metabolomics-and-analytics-centre MAC | Metabolomics and Analytics Center 5. Method Core Model: Declaring a FAIR Digital Object 6. Article 2. Research Project 1. Research Programme 3. Data Management Plan 4. DataSet The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. The templates follow the FAIR Funder Framework co-developed with the GO FAIR Foundation and ZonMw. Find out more about MAC at https://www.universiteitleiden.nl/en/science/drug-research/metabolomics-and-analytics-centre MAC | Metabolomics and Analytics Center 4. DataSet Core Model: Declaring a FAIR Digital Object 6. Article 2. Research Project 1. Research Programme 5. Method 3. Data Management Plan The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. The templates follow the FAIR Funder Framework co-developed with the GO FAIR Foundation and ZonMw. Find out more about MAC at https://www.universiteitleiden.nl/en/science/drug-research/metabolomics-and-analytics-centre MAC | Metabolomics and Analytics Center Core Model: Declaring a FAIR Digital Object 2. Research Project 1. Research Programme 3. Data Management Plan The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. See: https://www.universiteitleiden.nl/en/science/drug-research/metabolomics-and-analytics-centre MAC | Metabolomics and Analytics Center 4. DataSet Core Model: Declaring a FAIR Digital Object 6. Article 2. Research Project 1. Research Programme 5. Method 3. Data Management Plan The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. See: https://www.universiteitleiden.nl/en/science/drug-research/metabolomics-and-analytics-centre MAC | Metabolomics and Analytics Center Core Model: Declaring a FAIR Digital Object 2. Research Project 1. Research Programme 3. Data Management Plan The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. See: https://www.universiteitleiden.nl/en/science/drug-research/metabolomics-and-analytics-centre Metabolomics and Analytics Center | LACDR Core Model: Declaring a FAIR Digital Object 2. Research Project 1. Research Programme 3. Data Management Plan The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. See: https://www.universiteitleiden.nl/en/science/drug-research/metabolomics-and-analytics-centre Metabolomics and Analytics Center | LACDR Core Model: Describing a FAIR Digital Object 2) Describing a Project as a FAIR Digital Object. 1) Describing a Research Programme as a FAIR Digital Object. 3) Describing a Data Management Plan (DMP) as a FAIR Digital Object. The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. Metabolomics and Analytics Center | LACDR Core Model: Declaring a FAIR Digital Object 2. Research Project 1. Research Programme 3. Data Management Plan The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. Metabolomics and Analytics Center | LACDR Core Model: Describing a FAIR Digital Object 2) Describing a Project as a FAIR Digital Object. 1) Describing a Research Programme as a FAIR Digital Object. 3) Describing a Data Management Plan (DMP) as a FAIR Digital Object. The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. Metabolomics and Analytics Center | LACDR Core Model: Describing a FAIR Digital Object Describing a Project as a FAIR Digital Object. Describing a Research Programme as a FAIR Digital Object. Describing a Data Management Plan (DMP) as a FAIR Digital Object. The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. Metabolomics and Analytics Center | LACDR Core Model: Describing a FAIR Digital Object 2. Describing a Project as a FAIR Digital Object. 1. Describing a Research Programme as a FAIR Digital Object. 3. Describing a Data Management Plan (DMP) as a FAIR Digital Object. The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. Metabolomics and Analytics Center | LACDR Core Model: Describing a FAIR Digital Object Describing a Project as a FAIR Digital Object. Describing a Research Programme as a FAIR Digital Object. Describing a Data Management Plan (DMP) as a FAIR Digital Object. The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. MAC FDO Describing a FAIR Digital Object Describing a Project as a FAIR Digital Object. Describing a Research Programme as a FAIR Digital Object. Describing a Data Management Plan (DMP) as a FAIR Digital Object. Guidance for funders aiming to support reusable (FAIR) information on research workflows and outputs. The FAIR Funding Framework (FFF) provides guidance for funders aiming to support reusable (FAIR) information tracking research workflows and outputs as well as funder activities and accomplishments. In the FFF, a uniform approach is used to document a wide variety of information types, some administrative, some scientific, using metadata records relevant to any funding organization. This NanoDash Project provides a modular and lightweight model for collecting and integrating information on workflows in (1) each funder’s grant procedures, (2) research lifecycles, and (3) tools and services used in research domains. FFF | FAIR Funding Framework 3. Research Dataset 1. Research Program 2. Research Project Guidance for funders aiming to support reusable (FAIR) information on research workflows and outputs. The FAIR Funding Framework (FFF) provides guidance for funders aiming to support reusable (FAIR) information tracking research workflows and outputs as well as funder activities and accomplishments. In the FFF, a uniform approach is used to document a wide variety of information types, some administrative, some scientific, using metadata records relevant to any funding organization. This NanoDash Project provides a modular and lightweight model for collecting and integrating information on workflows in (1) each funder’s grant procedures, (2) research lifecycles, and (3) tools and services used in research domains. FFF | FAIR Funding Framework 3. Research Dataset 1. Research Program 2. Research Project 3. Research Dataset Guidance for funders aiming to support reusable (FAIR) information on research workflows and outputs. The FAIR Funding Framework (FFF) provides guidance for funders aiming to support reusable (FAIR) information tracking research workflows and outputs as well as funder activities and accomplishments. In the FFF, a uniform approach is used to document a wide variety of information types, some administrative, some scientific, using metadata records relevant to any funding organization. This NanoDash Project provides a modular and lightweight model for collecting and integrating information on workflows in (1) each funder’s grant procedures, (2) research lifecycles, and (3) tools and services used in research domains. FFF | FAIR Funding Framework 1. Research Program 2. Research Project 3. Disseminate Researchers spend the majority of their time twofold – producing output and then looking for the output of others to, in turn, help them produce more output. For both of these activities, computers assist us. Unfortunately, the latter activity is a challenge because we often provide information in a way that is hard for the computer to understand; computers like structured information to provide meaningful knowledge. Therefore, the more structured our research output, the better computers can help us with our research. TidBits is a lean approach to self-reporting research findings in a structured way so that you can in turn more easily find and use them with the help of the computer. TidBits is derived from LEIbits: https://w3id.org/kpxl/custom/project/terms/LEIbits TidBits | Research Publication Bits 3. Disseminate 4. Engage 1. Define 2. Investigate 2. Investigate 3. Disseminate Researchers spend the majority of their time twofold – producing output and then looking for the output of others to, in turn, help them produce more output. For both of these activities, computers assist us. Unfortunately, the latter activity is a challenge because we often provide information in a way that is hard for the computer to understand; computers like structured information to provide meaningful knowledge. Therefore, the more structured our research output, the better computers can help us with our research. TidBits is a lean approach to self-reporting research findings in a structured way so that you can in turn more easily find and use them with the help of the computer. TidBits is derived from LEIbits: https://w3id.org/kpxl/custom/project/terms/LEIbits TidBits | Research Publication Bits 3. Disseminate 4. Engage 1. Define 2. Investigate 2. Investigate Researchers spend the majority of their time twofold – producing output and then looking for the output of others to, in turn, help them produce more output. For both of these activities, computers assist us. Unfortunately, the latter activity is a challenge because we often provide information in a way that is hard for the computer to understand; computers like structured information to provide meaningful knowledge. Therefore, the more structured our research output, the better computers can help us with our research. TidBits is a lean approach to self-reporting research findings in a structured way so that you can in turn more easily find and use them with the help of the computer. TidBits is derived from LEIbits: https://w3id.org/kpxl/custom/project/terms/LEIbits TidBits | Research Publication Bits 3. Disseminate 1. Define 3. Disseminate 2. Investigate 2. Investigate Researchers spend the majority of their time twofold – producing output and then looking for the output of others to, in turn, help them produce more output. For both of these activities, computers assist us. Unfortunately, the latter activity is a challenge because we often provide information in a way that is hard for the computer to understand; computers like structured information to provide meaningful knowledge. Therefore, the more structured our research output, the better computers can help us with our research. LEIbits is a lean approach to self-reporting research findings in a structured way so that you can in turn more easily find and use them with the help of the computer. For more information see: https://doi.org/10.5281/zenodo.15222956 LEIbits | Leiden University Publication Bits 3. Claims 1. Project 2. Dataset This is the project page for the Nanopublication Tutorial at ESWC 2025. Nanopublication Tutorial at ESWC 2025 Event Researchers spend the majority of their time twofold – producing output and then looking for the output of others to, in turn, help them produce more output. For both of these activities, computers assist us. Unfortunately, the latter activity is a challenge because we often provide information in a way that is hard for the computer to understand; computers like structured information to provide meaningful knowledge. Therefore, the more structured our research output, the better computers can help us with our research. LEIbits is a lean approach to self-reporting research findings in a structured way so that you can in turn more easily find and use them with the help of the computer. LEIbits | Leiden University Publication Bits 3. Claims 1. Project 2. Dataset Climate change poses risks to European communities, requiring robust adaptation strategies to protect ecosystems, economies and public health. However, fragmented data and limited interoperability across regions hinder coordinated action. Often, valuable insights remain inaccessible to policymakers and researchers seeking evidence-based solutions. Addressing this data-sharing challenge is essential for creating flexible and responsive adaptation frameworks. In this context, the EU-funded FAIR2Adapt project is advancing climate resilience by transforming data into actionable knowledge. By collaborating with the European Open Science Cloud (EOSC), FAIR2Adapt builds a user-friendly, interoperable data-sharing platform using FAIR Digital Objects and tools like the I-ADOPT framework. Through case studies and stakeholder engagement, FAIR2Adapt develops customised, scalable solutions for climate adaptation. FAIR to Adapt to Climate Change | FAIR2Adapt FAIR events Climate change poses risks to European communities, requiring robust adaptation strategies to protect ecosystems, economies and public health. However, fragmented data and limited interoperability across regions hinder coordinated action. Often, valuable insights remain inaccessible to policymakers and researchers seeking evidence-based solutions. Addressing this data-sharing challenge is essential for creating flexible and responsive adaptation frameworks. In this context, the EU-funded FAIR2Adapt project is advancing climate resilience by transforming data into actionable knowledge. By collaborating with the European Open Science Cloud (EOSC), FAIR2Adapt builds a user-friendly, interoperable data-sharing platform using FAIR Digital Objects and tools like the I-ADOPT framework. Through case studies and stakeholder engagement, FAIR2Adapt develops customised, scalable solutions for climate adaptation. FAIR to Adapt to Climate Change | FAIR2Adapt FAIR events Templates ScienceLive is a platform that connects existing and emerging research using knowledge graphs to make scientific findings more accessible, interpretable, and organized. By structuring knowledge across disciplines, it empowers researchers, publishers, and funders to discover, link, and build upon research more effectively. Science Live This is the project page for DataLENS. DataLENS 2. Gene Expression Raw Data 1. Study FAIR FAIR FAIR FAIR FAIR A FAIR Implementation Profile (FIP) is a list of declared technology choices intended to implement each of the FAIR Principles, made as a collective decision by the members of a particular community of practice. Links: <ul> <li><a href="https://fairconnect.pro/">FAIR Connect</a></li> <li><a href="https://fip-wizard.ds-wizard.org/wizard/">FIP Wizard</a></li> </ul> <li><a href="https://sip-wizard.ds-wizard.org/wizard/">SIP Wizard</a></li> </ul> <li><a href="https://wiki.gofair.foundation/">GO FAIR Wiki</a></li> </ul> <li><a href="https://fip-matrix.streamlit.app/">Make FIP Matrix</a></li> </ul> APIs: <ul> <li><a href="https://peta-pico.github.io/tapas/tapas.html?api=peta-pico/dsw-nanopub-api&op=/find_gofair_qualified_things_x">Check FSR duplicates</a></li> <li><a href="https://github.com/peta-pico/dsw-nanopub-api/blob/main/tables/new_matrix_reduced.csv">Find FSRs in FIPs</a></li> </ul> FAIR Implementation Profiles (FIPs) 3PFF 3PFF FAIR FAIR FAIR FAIR FAIR FAIR 3PFF FAIR 3PFF FAIR FAIR FAIR FAIR FAIR FAIR 3PFF FAIR FAIR FAIR FAIR FAIR FAIR Templates This is the Science Live project. Science Live FAIR FAIR FAIR FAIR FAIR A FAIR Implementation Profile (FIP) is a list of declared technology choices intended to implement each of the FAIR Principles, made as a collective decision by the members of a particular community of practice. Links: <ul> <li><a href="https://fairconnect.pro/">FAIR Connect</a></li> <li><a href="https://fip-wizard.ds-wizard.org/wizard/">FIP Wizard</a></li> </ul> <li><a href="https://sip-wizard.ds-wizard.org/wizard/">SIP Wizard</a></li> </ul> <li><a href="https://wiki.gofair.foundation/">GO FAIR Wiki</a></li> </ul> <li><a href="https://fip-matrix.streamlit.app/">Make FIP Matrix</a></li> </ul> APIs: <ul> <li><a href="https://peta-pico.github.io/tapas/tapas.html?api=peta-pico/dsw-nanopub-api&op=/find_gofair_qualified_things_x">Check FSR duplicates</a></li> <li><a href="https://github.com/peta-pico/dsw-nanopub-api/blob/main/tables/new_matrix_reduced.csv">Find FSRs in FIPs</a></li> </ul> FAIR Implementation Profiles (FIPs) 3PFF 3PFF FAIR FAIR FAIR FAIR FAIR FAIR 3PFF FAIR 3PFF FAIR FAIR FAIR FAIR FAIR FAIR 3PFF FAIR FAIR FAIR FAIR FAIR FAIR The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. MAC FDO Describing digital objects based on DCAT for MAC The Metabolomics and Analytics Centre (MAC) at the Leiden Academic Centre for Drug Research (LACDR) focuses on the development of high-performance metabolomics platforms aiming for high-throughput analysis and comprehensive metabolite coverage. This project page presents nanopublication-based FAIR Digital Objects (FDOs) that support MAC data stewardship. MAC FDO MAC group at Leiden University MAC FDO FAIR FAIR FAIR FAIR FAIR FAIR Implementation Profiles (FIPs) are declared by communities to specify the technologies used to achieve the FAIR principles. This page provides an overview for users involved in creating FIPs. APIs: <ul> <li><a href="https://peta-pico.github.io/tapas/tapas.html?api=peta-pico/dsw-nanopub-api&op=/find_gofair_qualified_things_x">Find GO FAIR qualified things</a></li> <li><a href="https://github.com/peta-pico/dsw-nanopub-api/blob/main/tables/new_matrix_reduced.csv">Matrix reduced</a></li> </ul> Links: <ul> <li><a href="https://fairconnect.pro/">FAIR Connect</a></li> <li><a href="https://fip-wizard.ds-wizard.org/wizard/">FIP Wizard</a></li> </ul> FAIR Implementation Profiles (FIPs) 3PFF 3PFF FAIR FAIR FAIR FAIR FAIR FAIR 3PFF FAIR 3PFF FAIR FAIR FAIR FAIR FAIR FAIR 3PFF FAIR FAIR FAIR FAIR FAIR FAIR Researchers spend the majority of their time twofold – producing output and then looking for the output of others to, in turn, help them produce more output. For both of these activities, computers assist us. Unfortunately, the latter activity is a challenge because we often provide information in a way that is hard for the computer to understand; computers like structured information to provide meaningful knowledge. Therefore, the more structured our research output, the better computers can help us with our research. LEIbits is a lean approach to self-reporting research findings in a structured way so that you can in turn more easily find and use them with the help of the computer. LEIbits | Leiden University Publication Bits 3. Claims 1. Project 2. Dataset