• Home
  • #SRDD2020
    • About
    • Presentations
    • Programme
    • Registration
    • Call for Papers
    • #SRDD2018
  • Resources
    • TRAINING & CONSULTING
    • Data Management Plan
    • RESEARCH DATA POLICY
    • ELN and LIMS
  • OLOS
  • News
  • About us
    • The DLCM Project
    • Team
    • Partners
    • Contact

#SRDD2020 Session

SRDD2020 Sessions
Panel 3
11:45-12:15
(Meta)Data Quality & Logistics: the FAIR Data Publication Workflow at Eawag and WSL
IonuĊ£ Iosifescu Enescu PhD
Harald von Waldow PhD

Open Research Data from Eawag and WSL is published through their respective institutional research data repositories ERIC (https://opendata.eawag.ch) and the environmental data portal EnviDat (https://envidat.ch). Both repositories offer guidance and support to researchers throughout the publication process and strive to achieve the highest quality for environmental research data publications [Hering et al., 2018; Iosifescu et al. 2018, 2019; von Waldow, 2020].

Recent surveys reveal that the fraction of research data shared for future reuse is still low [Goben & Griffin, 2019; von der Heyde, 2019]. Both Eawag and WSL foster data publication by providing appropriate infrastructure and workflows.

We have jointly conceptualized and implemented a workflow that chains together researcher input, automatic validation, interactive quality checks, and iterative improvement of (meta-)data quality.

An essential requirement of the FAIR (Findable, Accessible, Interoperable and Reusable) principle [Wilkinson et al. 2016] is the assignment of a persistent identifier. We therefore assign Digital Object Identifiers (DOIs) to all open datasets. Our workflow is designed to make maximal use of the latest DataCite metadata-schema [DataCite, 2019] for DOIs and exploits for example its ability to store spatial information about environmental measurements.

The data publication workflow considers a number of steps, starting with the request for a DOI, going through an approval process with a double-checking principle, and ending with the submission of the metadata-record to DataCite and the final data publication in ERIC or EnviDat, respectively. We are looking forward to sharing the workflow, code, practices and related recommendations with the community.

Contact Us

missing email

Mandated by   Swiss-universities

2020 Copyright DLCM