The Nanomaterial Registry: facilitating the sharing and analysis of data in the diverse nanomaterial community (2013) Descriptors of the Nanomaterial Registry minimal information about nanomaterials (MIAN)'s physicochemical characterization (PCC) 12 caLIBRAte (Nano Risk Governance) D5.3 Document on quality criteria for data (2017) Recommended parameters to be reported for physical-chemical characterization of NMs and their in vivo and in vitro human toxicity data 37 RiskGONE toxicity risk data quality measures (2021) Recommended set of in vivo and in vitro parameter for toxicity risk assessment data 34 ISO/TR13014 Nanotechnologies -Guidance on physiochemical characterization of engineered Nanoscale materials for toxicological assessment (2012) Physico-chemical characteristics that have been proposed as the most relevant to toxicological assessment 9 Minimum information reporting in bio-nano experimental literature (2018) minimum information standard for experimental literature investigating bio-nano interactions 26 (Figure ) has two panels. The left panel contains the form, which requires two types of input. At the top, there are four text fields (Dataset title, unique ID, URL, and citation) to record the provenance information of the dataset. Beneath that, there is a list of check boxes corresponding to the maturity indicators of the chosen list. Practically, each maturity indicator describes a measured variable. Hence, ticking a box implies that the variable described with this maturity indicator is reported in the described dataset. Next to each tick box, there is an information icon link that takes the user to the markdown description page of the maturity indicator to learn more and make sure the choice is valid. On the other hand, the right panel contains the generated JSON-LD, which can be copied by the user and used anywhere on the web, like embedding it in the web page that hosts the dataset (data repository, personal website, institution website). The web application is available for use (), and the code is available on GitHub.