FAIR data. This section brings the concept of FAIR data – findable, accessible, interoperable and re-usable. It is important to remark that when dealing with advances on the technology frontier, the equilibrium between disclosure and confidentiality is key: to guarantee that products and processes will reach the market, benefiting the society with more sustainable e better quality products, generating taxes; at the same time that the revelation of scientific knowledge will benefit society showing advances and promoting a “fast-track” to more technological developments. The MULTI-STR3AM consortium will play an effort to reach successful results, launching innovative processes and products. To be economically viable, the consortium partners will evaluate which kind of data will be disclosed and which will be considered strategic for the development of a successful business model.
FAIR data. CREMLINplus It is dedicated to promoting FAIR (findable, accessible, interoperable and reusable) data, and - if possible - also research software.
FAIR data. Making BEACONING’s data Findable, Accessible, Interoperable and Reusable (FAIR) is important for the project as part of the ORDP. Data is published on the research-sharing platform Zenodo, as described in D1.9. Zenodo can be used by third parties without the need of an account, which means that publications are exposable for anyone interested. BEACONING is represented at the platform as community. This means, that researchers can search for the project name in the community section. Here, all data and publications project members have uploaded are listed. Additionally, Zenodo automatically allocates a digital object identifier (DOI) number for easy re-finding certain articles. Moreover, when uploading publications, a set of keywords are set for better findability. The first one always has to be the project name. The others depend on the context. Project members are advised to use common terminology within the field of the publication. For instance, if a researcher wants to find articles about game-based education but the article is claimed with “game-based learning” only, the researcher might miss the project’s publication. Therefore, it is important to have well-thought keywords which describe the same thing in different words and match the common terminology in the field.
FAIR data. 2.1 Making data findable, including provisions for metadata: Outline the discoverability of data (metadata provision) Outline the identifiability of data and refer to standard identification mechanism. Do you make use of persistent and unique identifiers such as Digital Object Identifiers? Outline naming conventions used Outline the approach towards search keyword Outline the approach for clear versioning Specify standards for metadata creation (if any). If there are no standards in your discipline describe what metadata will be created and how Metadata provision: Data will be sorted by category A file will be provided and regularly updated, listing the type of data, its filename, and relevant information as to its nature. A file will be provided listing all abbreviations in use. For data originating from measurements, simulation, and device characterisation a table of contents will be provided, showing data structure. Each category of data will have the same folder structure. Each scenario will have its own identifier. Data files will have standard identifiers. The details will be defined before D2.4 is submited.
FAIR data. This DMP follows the EU guidelines1 and describes the data management procedures according to the FAIR principles2. The acronym FAIR identifies the main features that the project research data must have in order to be findable, accessible, interoperable and re-useable, allowing thus for maximum knowledge circulation and return of investment.
FAIR data. 3.1.1 Making data findable, including provisions for metadata In order to ensure the comparability of data, standard naming conventions will be used whenever suitable. For the waste materials, the European list of waste10 will be used as a standard nomenclature. The plastic resins resulting from sorting and reprocessing will be classified following the naming convention used in PlastEurope’s Plastics Exchange11. Due to the nature of the project, which focuses on development of new prototypes of plastic products based on innovative, new plastic resin mixtures and production processes, it is not expected that the use of standard naming conventions will always be suitable. In these cases, a suitable categorisation will be developed in collaboration with the experts involved in the project. In addition, some plastic resin mixtures might be considered as a trade secret by the involved companies. In this case, the project management will engage in productive dialogue with the companies about which data can and cannot be published.
FAIR data. The Day to Day DST (WP4) only provides information and data, if someone runs it. Who and under what conditions this will be done after the end of the project is part of the exploitation plan in WP9.
FAIR data. 5.1.1 Making data findable, including provisions for metadata Regarding naming convention, the Food Waste Loss Accounting and Reporting Standard13 will be followed when possible. If, and when, this standard fails to encompass a given subject further research will be done to find an adequate standard, if one is available, if not a convention will be defined in collaboration with experts in the given field. Matters related with metadata, identification mechanisms and versioning numbers are under consideration with the developer, Addapt Creative.
FAIR data. 6.1.1 Making data findable, including provisions for metadata The data produced and used in the project will be discoverable with metadata, identifiable and locatable by means of the standard identification mechanism in use in the Municipality of Genoa that refers to different methodology (RNDT methodology, INSPIRE methodology. The software used for the metadata catalogue will be GeoNetwork (open source). The metadata available from by the Geoportal are Inspire Compliance that is adhering to EU legislation14. The municipality of Genoa will make available all the considered/expected information collected by the Geoserver opensource platform of the Geoportal through interoperability services of WMS and WFS. An example of a metadata set that will be created by the Geonetwork application is: IDENTIFICATION INFORMATION • Date • Cited responsible party • Point of contact • Resource maintenance • Resource constraints • Equivalent scale • Topic category • Geographic bounding box DISTRIBUTION INFORMATION • Distributor REFERENCE SYSTEM INFORMATION DATA QUALITY INFO • Date METADATA • File identifier • Metadata language • Character set • Hierarchy level • Date stamp • Metadata standard name • Metadata standard version Data already openly available, is the Open Data portal of the Municipality of Genoa at the following link: xxxx://xxxx.xxxxxx.xxxxxx.xx/ licenses chosen are Creative Commons 3.X e 4.X. Issues regarding search keywords and version numbers will be decided upon during the project.
FAIR data. 7.1.1 Making data findable, including provisions for metadata Not applicable to the qualitative data gathered for implementing of tasks (cf. section 2.5).
