🌟 #MeetOurDataStewards: Where to get help with FAIR RDM? #3: Riccardo Massei
Riccardo believes that managing data in a #FAIR way is essential to scientists' daily work. In his role as a Data Steward at @nfdi4bioimage he helps design new approaches, tackles daily data challenges, and ensures that data is #findable, #accessible, #interoperable, and #reusable.
If you need assistance with #FAIR data management, the Data Stewards are available to provide guidance.
How do you make things #findable in a community house? Last month we had a focus weekend on improving signage and inventories, to make newcomers more autonomous and reduce the sorting work. Any solutions to recommend?
https://kanthaus.online/en/blog/2024-12-15_inventory_systems
− post by @pintoch
#signs #inventory #reprowork #wikidata #inventree #snipeit #homebox
Best Practice for Publishing Environmental DNA (eDNA) Data According to FAIR Principles
https://biss.pensoft.net/article/137742/
#FAIRprinciples #findable #accessible #interoperable #reusabale #environmentalDNA #eDNA
Reversing global biodiversity loss will require transformational human actions and robust measurements of their effectiveness. Diversity assessment using environmental DNA (eDNA) has emerged as a cutting-edge technique with the potential to address the challenges of measuring biodiversity. Vast amounts of eDNA sequences and eDNA-based species detections are generated in scientific studies. These datasets are typically stored in a variety of different repositories in multiple formats, hindering their reuse (Berry et al. 2020). Ensuring the publication of eDNA data following the FAIR (Findable, Accessible, Interoperable, Reusable) principles (Wilkinson et al. 2016) would revolutionise environmental assessment, including monitoring of biodiversity, individual species, and interactions across extensive spatial and temporal scales, and generate critical knowledge for evidence-based management. Archiving FAIR eDNA data requires standardising data formats and vocabularies, cyberinfrastructures, guidelines, data sharing policy, and collaboration among scientists and institutions. Some of these requirements are addressed by existing data standards and infrastructures, including Darwin Core (DwC) (Wieczorek et al. 2012), Minimum Information about any (x) Sequence (MIxS) (Yilmaz et al. 2011), the Global Biodiversity Information Facility (GBIF) network, and International Nucleotide Sequence Database Collaboration (INSDC) partners (Arita et al. 2020).However, multiple challenges remain and FAIR data practices have yet to be established among the eDNA community. This is partly because critical attributes unique to eDNA data are not adequately accommodated by existing standards. For example, monitoring contamination and excluding non-target taxa, and the parameters used for quality filtering and species detection vary greatly between studies, depending on the study scopes and the associated financial and ecological costs of incorrectly inferring presence or absence. Making such information FAIR is needed for future studies reusing data and requiring high confidence levels in species detection and taxonomic assignment. Furthermore, the procedures of targeted-taxon detection approach (e.g., interpretations of quantitative polymerase chain reaction (qPCR) results in detecting the presence of DNA from individual taxa) have not yet been fully captured by existing standards. Increasing efforts have been made to establish minimum reporting requirements to validate eDNA study methods and data (Klymus et al. 2020, Thalinger et al. 2021). These requirements need further development to be translated into data standards and formats to enhance machine readability and reusability, and to support and guide the eDNA community, so that they are effectively utilised. In this talk, we share our best practice guide for formatting and publishing eDNA data, developed by an international multidisciplinary working-group comprising eDNA researchers, journal editors, and biodiversity and omics data scientists. We identified required data types, formats and metadata checklists through reviewing and integrating existing data standards, devising subject-specific vocabularies, and introducing additional terms to accommodate the distinctive properties of eDNA data. Implementing the FAIR eDNA data best practice guide, offers a pivotal step towards standardising and enhancing the publication and re-use of eDNA data.
Und wir freuen uns erst: Vorläufige Akkreditierung @ratswd – wichtiger Schritt in der Entwicklung unserer #Dateninfrastruktur zur Analyse des gesellschaftlichen Zusammenhalts #OpenScience #FAIRData (#Findable #Accessible #Interoperable #ReUsable)
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RT @ratswd
Wir freuen uns, die vorläufige Akkreditierung eines neuen FDZ verkünden zu können! Das FDZ-FGZ @fgz_risc stellt Daten zu Fragen des gesellschaftlichen Zusammenhalts zur Verfügung. …
https://twitter.com/ratswd/status/1615732338284969984
NFDI4BIOIMAGE
Kanthaus
Matrix-Sasuke
Teresita Porter 🙋🏻♀️
Nontechie Talk 
FID BAUdigital
Dominik Leipold
ZHAW Digital Discourse Lab
FGZ RISC