The NIS PASTA framework is nearing its first production
release in December 2012, and LTER sites have made great progress over the past
several years in getting EML-described core data online. LTER site Information
Managers and others in the eco-informatics community have also made progress in
developing or adapting software to perform analytical workflows using
Goals: The credo of this working group is that: Scientists seeking data should be able to efficiently and reliably locate LTER datasets through searching or browsing. In 2011, the LTER Controlled Vocabulary Working Group made substantial progress towards this goal (report attached). That progress included creating a thesaurus of over 600 keywords (http://vocab.lternet.edu) and using that thesaurus to automatically enhance searches on the LTER Data Portal by automatically searching for synonyms and narrower terms.
We are proposing to assemble a working group of LTER information managers and representatives from other groups with experience in sensor networks to develop a best practices guide for LTER on managing sensor networks and data. The working group will examine the various sensor network strategies and applications currently in use within the LTER network with the primary goal to assure data are actively archived into the LTER Network Information System (NIS).
The GeoNIS is intended to be the spatial data component of the network-wide NIS development. The project exposes and merges heterogeneous GIS data from the 26 LTER sites into a standard format available for the Network and broader community to perform synthetic analysis, data discovery, and visualization. Goal 3.1 of the NIS is to increase data quality through standard approaches. This project will use site level GIS data to develop templates for display and analysis products that will be deployed for all LTER sites.
Summary: The “quality” of a data package is a
reflection of how well it may be used for a specific purpose. The
emerging LTER Network Information System (NIS) is being developed to
ingest EML datasets and process them in automated workflows. To do so, a
data package must include access to data, complete metadata (defined by
Best Practices), and have strong agreement between the metadata and
data (i.e., congruence). Tools such as the EML Congruence Checker are
being developed for reporting on data packages submitted by individual
LTER research sites.
Summary: This proposed workshop will review the current design of SiteDB
and recommend design changes to facilitate the integration of
value-added databases, ClimDB/HydroDB and StreamChemDB, into the Network
Information System (NIS). The work will focus on the redesign of SiteDB
and the development of an EML template to accommodate descriptive
metadata from these value-added databases.
The purpose of the LTERMapS project is to provide a data discovery and cartography tool for integration into the NIS through linkages with EML and PASTA. The project will offer detailed information for each LTER site using a common mapping interface for all sites. The following data will be included: all information currently available with the phase one application (SiteDB data), digital elevation model (DEM), roads, hydrography. research plot locations of core research plots, structures, imagery, and EcoTrends socioeconomic county level data.
Web Services Working Group Product-Oriented Working Group Support Request and Statement of Work Summary Statement The Web Services Working Group (WSWG) was established at the 2009 IMC meeting in response to a recognized need for guidelines in implementing a web service-oriented architecture in the LTER Network Information System. The WSWG has also been tasked by LNO and IMExec with exploring possible redevelopment paths for network resources, including the personnel, all-site bibliography, and site description databases.
Unfortunately, efficient and reliable searches are not currently possible because of eclectic application of keywords in LTER metadata. Most existing keywords are used by only a single LTER site, or worse yet, in only a single dataset, making them unsuitable for identifying data for cross-site syntheses. To address this problem, the LTER Information Management Committee (IMC) created a working group to help create a controlled vocabulary for use in LTER datasets (http://databits.lternet.edu/spring-2010/controlled-vocabulary-lter-datasets).
The PASTA Framework infrastructure of the LTER Network Information System (NIS) will support the automated execution of site provided scripts to simplify the process of creating and updating LTER synthetic and derived data products. Scripts will be required to meet specific criteria to operate successfully in the PASTA Framework environment. Such criteria will necessitate training for information managers to understand the script execution environment and how to best write a script for the PASTA Framework.