Partnership for the Assessment of Risks from Chemicals (PARC). Data Management Plan V1.0 (DMP)

Abstract

PARC is the European partnership for the development of next generation chemical risk assessment methods. In the context of Open Science, the PARC objective OO10 is to implement FAIR data practices and enhance innovation in complex data analysis for chemicals risk assessment. PARC will develop a FAIR data culture enabling open science and provide the technical methods, tools and infrastructure for effective exchange of data and information. Innovation in risk assessment and risk management which is required for the transition to next generation risk assessment can only be achieved in an open and collaborative way. FAIR and open data sharing according to the ‘as open as possible, as closed as necessary’ principle will be the default for PARC and will be applied to all research outputs (including reports, data, software, guidelines, method descriptions, formats, templates, semantic artefacts, ontologies, vocabularies etc.). This deliverable presents version 1 of the PARC overarching data management plan (DMP). The domain specific guidance in version 1 is based on the analysis of DMP’s of a selection of projects covering research data domains PARC is concerned with: exposome research, biomonitoring, innovations in (eco-)toxicological hazard assessment, e.g., via in vitro new approach methodologies, nanomaterial safety and metabolism disrupting chemicals. The DMP contains guidance to support PARC researchers in multiple ways: by providing additional information; by providing generic texts and by suggesting possible domain specific or generic choices.