The EnviDat Concept for an Institutional Environmental Data Portal

EnviDat is the environmental data portal developed by the Swiss Federal Institute for Forest, Snow and Landscape Research WSL. The strategic initiative EnviDat highlights the importance WSL lays on Research Data Management (RDM) at the institutional level and demonstrates the commitment to accessible research data in order to advance environmental science. EnviDat focuses on registering and publishing environmental data sets and provides unified and efficient access to the WSL’s comprehensive reservoir of environmental monitoring and research data. Research data management is organized in a decentralized manner where the responsibility to curate research data remains with the experts and the original data providers. EnviDat supports data producers and data users in registration, documentation, storage, publication, search and retrieval of a wide range of heterogeneous data sets from the environmental domain. Innovative features include (i) a flexible, three-layer metadata schema, (ii) an additive data discovery model that considers spatial data and (iii) a DataCRediT mechanism designed for specifying data authorship. In addition, the overall user-friendly appearance in EnviDat provides an important opportunity for showcasing WSL research activities and results. The EnviDat portal builds on a conceptual system consisting of a core system, a set of guiding principles and a number of key services. Its development closely follows the conceptual framework, being guided by principles towards the ultimate goal of providing useful services for researchers

Linked raster data

Linked Data (LD) is a paradigm that allows linking various heterogeneous data sources in a well-defined way (Bizer, Heath, & Berners-Lee, 2009). These links establish a Web of Data (WoD), instead of a web of html documents. In the WoD more and more geographic data sets are made available such as GeoNames, dbPedia, etc. These are usually created from a GIS system and published as a static data set. Approaches like Geo-SPARQL aim towards processing these sets of Linked Geo Data but only little research has been performed how to use LD in the context of Geographic Information Systems (GIS)–both as an input to GIS operations as well as its output.Even less work has been done for LD-enabled raster data processing. Based on recent work (Fleischli, 2012) we investigate in this paper how geo-spatial data, in particular raster data and, even more important, operations on it, can be linked to the WoD in both directions

Identifying environmentally and economically optimal bioenergy plant sizes and locations: A spatial model of wood-based SNG value chains

The optimal size and location of bioenergy plants with regards to environmental and economic performance are assessed with a spatially explicit value chain model of the production of synthetic natural gas (SNG) from wood. It consists of several individual models for the availability, harvest, transportation, conversion of wood to SNG, electricity and heat, and the use of these products to substitute non-renewable energy services. An optimization strategy is used to choose the optimal technology configuration for plant sizes from 5 to 200 MW and different locations for any desired weighting between the environmental performance based on life cycle assessment (LCA) and the economic performance. While the economic optima are found at plant sizes between 100 and 200 MW, the environmental optima are found in the range of 5e40 MW. This trade-off can be minimized at plant sizes above 25 MW according to the presented model. The most important driver of the environmental performance is the efficient substitution of non-renewable energy, which is a site-specific factor. In comparison to this, spatial factors such as wood availability, harvest, and transportation, have a smaller influence on the environmental performance, at least for a country of the size of Switzerland. The main drivers of the economic performance are the revenues from the sale of the SNG plant’s products and the SNG production costs, but transportation and wood costs also play a role

The CHANGE Study: Methods and Sample Description for a Cross-Sectional Study of Heroin Cessation in New York City

The CHANGE (Cessation of Heroin: A Neighborhood Grounded Exploration) Study aimed to understand factors associated with the initiation and maintenance of sustained heroin cessation from the perspective of users themselves and specifically set out to document the correlates of natural recovery. The CHANGE Study was a case-control study conducted in New York City from 2009 to 2011. Cases were former heroin users, abstinent for 1–5 years in the past 5 years. Controls used heroin at least weekly during the past 5 years and were (1) continuous heroin users without a quit attempt of ≥2 weeks’ duration or (2) relapsed heroin users who were currently using and had a quit attempt of ≥2 weeks’ duration during the past 5 years. Recruitment and data collection methods are described along with limitations and a brief description of the study sample. In contrast to many studies of drug use and cessation, the CHANGE Study was designed to model success (i.e., initiation and maintenance of heroin cessation) and not failure