Three Point FAIRification Framework
The Three-point FAIRification Framework provides practical “how to” guidance to stakeholders seeking to go FAIR. Moreover, by following this framework, stakeholders can rest assured that their efforts toward FAIRification will be optimally coordinated with the efforts of other stakeholders in the GO FAIR community. The three-point framework maximizes reuse of existing resources, maximizes interoperability, and accelerates convergence on standards and technologies supporting FAIR data and services. Learn more on how M4M connects to the Three Point FAIRification Framework.
Making it easy for humans to make metadata for machines
Metadata for Machines (M4M) history
Machine-actionable metadata are core to the FAIR Principles. In the fall of 2018, GO FAIR and RDA members launched the “Metadata for Machines” workshop series (M4M) to assess the state of metadata practices in data-related communities and stimulate the creation and re-use of FAIR metadata components and machine-ready metadata templates.
The M4M Workshop concept
M4M workshops are agile, hackathon-style events that bring together domain experts (who are able and willing to represent a domain community) with FAIR metadata experts (data stewards) who guide a discussion leading to the metadata requirements that meet the FAIR data needs of that domain community. M4M Workshops are lightweight, fast-track (often 1-day) events where policy and domain experts can build new, or make informed choices regarding the reuse of already existing metadata schema. Although M4M Workshops can serve many purposes, they are usually intended to kick-start FAIRification efforts with minimally viable metadata components that are modular, and can be later extended as needed.
M4M Worskhops have two objectives:
- First, most M4M Workshops focus on a simple but extensible conceptual model and RDF schema that solve clearly identified FAIR-related metadata goals for that domain. Based on numerous considerations, the metadata expert will recommend if a new schema should be created or if an existing schema can be efficiently repurposed. In most cases, it is also possible to employ metadata modeling tools to build reusable metadata templates following that schema providing user-friendly interfaces and input forms. This will later allow domain experts who may not have technical skills, to nonetheless create metadata instances without expert supervision.
- The second objective of a M4M Workshop is the deposition of the defined metadata schema/template into a FAIR repository, where they can be easily found and reused by other communities that often have similar metadata requirements. The overall goal of a M4M Workshop is a public Declaration by the domain community to the use and reuse of particular FAIR metadata schema/templates. This declaration could take the form of a FAIR Implementation Profile or a statement in a Data Management Plan.
M4M Workshops draw on the deep knowledge collected in many scientific communities but also ensure coordination with the metadata components chosen in other M4M workshops. Collectively, the M4M workshop series result in recommendations about metadata and an Open repository of machine-ready, easy to use and interoperable FAIR metadata templates and components. Anyone can access this ’sea’ of community specific metadata templates/components, re-use them as they see fit, and deploy them using metadata editors and other data capture tools.
It is hoped that the M4M workshop can allow researchers to make routine use of machine-actionable FAIR metadata in a broad range of fields.
The first M4M Workshop was held in Leiden, October 15-16, 2018. Kristina Hettne captured the event in an article for Leiden University Metadata 4 machines help you find and (re)use relevant research data (November 2, 2018).
The meeting had the following major results:
A step towards agreements on generic assertions about metadata.
A first discussion about minimal metadata to support search.
A proposal for the role of FAIR metadata in the research funding life cycle .
M4M.2 & M4M.3
M4M Workshops to create machine-actionable metadata for the Preclinical Trials Research Community (M4M.2) and for Scientific Funders (M4M.3) were held on January 14, 2019. Participants included members from the Preclinical Trails and Funders communities and metadata experts from the Centre for Extended Data and Annotation and Retrieval.
The 4th M4M Workshop is part of the VODAN Africa project. VODAN Africa is the African-based chapter of the Virus Outbreak Data Africa Network, and is composed of Universities and Hospitals in Uganda, Ethiopia, Nigeria, Kenya, Tunisia and Zimbabwe. The initiative is funded by the Philips Foundation to enable distributed access to critical data needed from Africa and the rest of the world to fight and contain the COVID-19 pandemic. The Virus Outbreak Data Africa Network will ensure that medical data are discoverable by computers and accessible under governance regulations. Data will not be displaced as data are visited by analytical algorithms based on the access controls to the data set by local data stewards. These findability and access controls are mediated by rich machine-actionable metadata created in M4M.4.
M4M.5 & M4M.6
On June 26 2020, the Danish e-Infrastructure Cooperation (DeiC), in cooperation with the GO FAIR Foundation, launched two Metadata for Machine workshops on behalf of two research communities seeking to upgrade the FAIRness of research data. The workshops are being conducted via teleconference in a series of five modules to be completed in mid-September. Participants include: members from the AnaEE research infrastructure (M4M.5), the National Energy System Transition Facilities project represented by the Wind Energy department at Danmarks Tekniske Universitet (M4M.6), and John Graybeal from Stanford
University’s Center for Expanded Data Annotation and Retrieval (CEDAR). The workshop is co-directed by Erik Schultes from the GO FAIR International Support and Coordination Office, and Diba Terese Markus, Aalborg University Library.
By following the links below, you can download all presentations held during the M4M sessions. After opening the page, you can press the download button at the right upper corner and the complete folder will be downloaded to your personal computer.
- Click here for a complete overview of the workshop outline
- Presentations Module 1 held on June 26, 2020 [11 MB] ~ https://bit.ly/DeiC-M4M_Module-1_Slides
- Presentations Module 2 held on July 3, 2020 [6 MB] ~ https://bit.ly/DeiC-M4M_Module-2_Slides
M4M.7 to M4M.16
A key ambition of the ZonMw COVID Program is that all research outputs are made available on a national, open and FAIR COVID Health Portal. Towards this end, the COVID Program has adopted the Three-Point FAIRification Framework. The COVID Program is unique in that it mandates an advanced level of FAIRness in research outputs (data, code, workflows) and at the same time supports researchers in this FAIRification. One element of this ZonMw support is a series of M4M workshops.
In the COVID Program M4M workshop series, researchers and data stewards associated with over 50 research projects in the COVID Program receive assistance in making FAIR machine-actionable metadata as part of their COVID research activities.
A large group of data stewards received basic M4M training during a dedicated session on October 7&8, 2020. This 2-part workshop was aimed at Project Data Stewards.
The M4M Training consisted of presentations that gave an overview of FAIR, M4M workshops and the COVID Program. These were followed by 6 hours of hand-on introductory exercises that leveraged a metadata authoring platform called CEDAR (after the Center for Expanded Data Annotation and Retrieval), given by John Graybeal, Technical Program Manager for CEDAR and BioPortal at Stanford University.
The skills learned in this M4M Training, although in the context of COVID research, are fundamental to good data stewardship in general, and therefore not only apply to all subdisciplines in the COVID-programme but are transferable to other research disciplines. Hence, it is intended that this training will kick start an up-scaling of FAIR metadata knowhow in The Netherlands so that ZonMw can make FAIR data a more systemic part of its research requirements in future research calls.
The GO FAIR COVID Program data stewards have participated in a series of M4M Workshops on behalf of the COVID Program researchers. The data stewards have been guided by the M4M Facilitator Team (John Graybeal, Barbara Magagna, Kristina Hettne, Nikola Vasiljevic and Erik Schultes).
- ZonMw’s news item on their approach to optimize reuse of COVID-19 related data
- ZonMw’s new item on FAIR metadata about the COVID-19-projects available on COVID-19 Data Portal of Health-RI
- Health-RI’s Workshops on delivering FAIR metadata for COVID-19 data portal
- Health-RI’s information on the COVID-19 data portal
- Health-RI direct link to the COVID-19 data portal
- Information on the workshops can also be found on the GO FAIR Foundation website on M4Ms.