(Do) We Produce FAIR Data
Creators: name: Garabedian, Nick
name: Bagov, Ilia
name: Flachmann, Malte
name: Ye, Nuoyao
name: Meller, Miłosz
name: Bresser, Floriane
name: Greiner, Christian
Publisher: name: Zenodo
Year: 2023

description: This poster will showcase our longstanding efforts to produce FAIR data on a daily basis in a materials tribology lab [1]. Tribology is the research field that studies the problems related to friction, wear, and lubrication. These three phenomena can occur in virtually any multi-body system and their full characterization is inherently multi-domain, multi-dimensional, and multi-scale. As such, digitalizing tribology and collecting FAIR data presents an enormous challenge, but also an opportunity to create frameworks that are applicable across scientific domains. Rich, dynamic, and interoperable metadata are the foundation of any FAIR data infrastructure. However, there is hardly an established roadmap for the generation and curation of controlled vocabularies for scientific workflows. Therefore, our group has been developing software solutions for the assembly of FAIR digital objects in tribology, followed by a validation of their applicability in the lab. The first software in the framework is VocPopuli [2], which lets users interactively and collaboratively build FAIR controlled vocabularies for their labs. Typically, a vocabulary has to account for the various modalities associated with describing a process or an object – the taxonomic, temporal, and relational dependencies have to be carefully balanced in order to achieve a viable representation of the physical world. Additionally, different groups of individuals have different understandings of their activities, even if they fall under the same umbrella. Finally, most experimental scientists are not experts in knowledge engineering, which means that they need to interact with an intuitive user interface which simplifies the complexity of the knowledge abstraction problem. Therefore, VocPopuli combines an easy-to-use front end with a comprehensive management of terminology artefacts in the backend. The domain, lab, or individual vocabularies then serve as the semantic foundation of the FAIR data collection in the electronic lab notebook which we use to store our data and metadata. The vocabularies also serve as a configuration to other programs which interface between scientists and FAIR data systems, and we call them FAIR-Save (FS) applications. To facilitate and harmonize the entry of data into a digital research environment (we use Kadi4Mat [3]), we developed a software called FS-DigitalBook which lets users make tablet-screen forms for the collection of data during analog processes (such as polishing). Another tool for FAIR data collection is the FS-Instrument which connects tribometers and other lab equipment to the electronic lab notebook. Additionally, FS-Analysis lets researchers account for their analyses of raw data in a FAIR manner by packaging the analysis script and their summary data, and linking it with the raw data in the electronic lab notebook. With these tools we are regularly increasing the rate of FAIR data production in our lab and hope to discover previously unrecognized dependencies. Finally, using VocPopuli’s SKOS export and Kadi4Mat’s recently added functionality for exporting metadata in RDF, we share our research outputs on Zenodo and RADAR4KIT. We recently published such package at [4], which contains 151,045 RDF triples, 51 experimental series, and 542 individual events. <strong>References</strong> 1. Garabedian, N.T., Schreiber, P.J., Brandt, N., Zschumme, P., Blatter, I.L., Dollmann, A., Haug, C., Kümmel, D., Li, Y., Meyer, F., Morstein, C.E., Rau, J.S., Weber, M., Schneider, J., Gumbsch, P., Selzer, M., Greiner, C.: Generating FAIR research data in experimental tribology. Sci. Data. <strong>9</strong>, 315 (2022), DOI: 10.1038/s41597-022-01429-9 2. Bagov, I., Meller, M., Bresser, F., Ye, N., Garabedian, N.: VocPopuli, https://zenodo.org/record/7923729, (2023) 3. Brandt, N., Garabedian, N.T., Schoof, E., Schreiber, P.J., Zschumme, P., Greiner, C., Selzer, M.: Managing FAIR tribological data using Kadi4Mat. Data. <strong>7</strong>, 15 (2022), DOI: 10.3390/data7020015 4. Flachmann, M., Biesinger, J., Gorenflo, M., Bagov, I., Greiner, C., Garabedian, N.: Tribological Experiments - Sapphire on Copper - FAIR Dataset, https://zenodo.org/record/7923127, (2023)