Integrating data and analysis technologies within leading environmental research infrastructures: Challenges and approaches

Designing and implementing a data model for describing environmental monitoring and research sites

“…It can be expected that in the future there will be more aggregates of site information fetched from different sources. This will add to the already increasing need for data harmonisation of environmental research infrastructures ( Huber et al, 2021 ). Additionally, increasing integration of remote sensing and in-situ data will also call for greater availability of machine-readable site documentation as illustrated by projects such as EcoPotential (2019) and e-shape (2021) or the In Situ Component of the European Union's Earth observation programme ( Copernicus In Situ Component, 2021 ).…”

Building a Global Ecosystem Research Infrastructure to Address Global Grand Challenges for Macrosystem Ecology

“…Nor does any individual organization act as a lead. Instead, a Governance Board Chair rotates among the organizations and established working groups, which help advance and harmonize the common science questions, protocols, parameters, and data systems, are other ways in which GERI actively balances the needs among its members (e.g., Huber et al, 2021).…”

An automated solution for measuring the progress toward FAIR research data

“…A data provider may disseminate data in several ways, for example, through a proprietary Web service, and harvesting protocols (e.g., Open Archives Initiative Protocol for Metadata Harvesting [OAI-PMH] 49 and Catalog Service for the Web [CSW]), 50 which may not necessarily use the same identifier as the one used to publish the data object. 51 Today's searchability of data objects largely depends on the use of Web standards supported by major search engines. Data providers embed structured data in the data landing pages 51,52 for use by search engines.…”

“…51 Today's searchability of data objects largely depends on the use of Web standards supported by major search engines. Data providers embed structured data in the data landing pages 51,52 for use by search engines. Within the research data community, content negotiation is a W3C recommended practice for providing data on the Web 44 and currently gains considerable momentum within the open data community through the emerging ''content negotiation by profile'' approach.…”