Documentation means many things to many people. This informal session will include a discussion on what documentation means to the cluster, on the topics the documentation cluster is interested in covering in 2017 and setting a new theme for 2017. As new co-chairs, we also welcome the chance to meet documentation cluster members in person!
Recommendations for the Use of Knowledge Organisation Systems by GBIF http://www.gbif.org/resource/80656
Pereira, H. M. et al. 2013. Essential Biodiversity Variables. Science. DOI: 10.1126/science.1229931
GOOS Biology and Ecosystems Panel. http://goosocean.org/index.php?option=com_content&view=article&id=79&Ite...
A Framework for Ocean Observing. By the Task Team for an Integrated Framework for Sustained Ocean Observing, UNESCO 2012, IOC/INF-1284 rev., doi: 10.5270/OceanObs09-FOO
IOOS Core Variables http://www.iooc.us/activities/biological-integration-observation-task-team/
GCOOS sample datasets aligned with DC terms via the OBIS enrollment process (see attached doc): http://gcoos4.tamu.edu:8080/erddap/search/index.html?page=1&itemsPerPage...
GBIF-TDWG Vocabulary Management Task Group: http://community.gbif.org/pg/groups/21382/, http://terms.tdwg.org/wiki/, http://terms.tdwg.org/wiki/Audubon_Core
The Ecosystem Ontology (ECSO) of measurements, http://bioportal.bioontology.org/ontologies/ECSO/
Over the past couple of years research data stewardship platforms and tools have grown substantially. Yet when we say "grown" it may not be quite in the way one might think. Instead of growing larger as a unit, a measurement of growth here is in a systems ability to connect and the perception of relevance and utility of that system to the user communities. In this session we propose to introduce several platforms and initiatives within the research data management realm that exhibit this enhanced capacity to connect with the user on their terms. These platforms are unique in their missions yet they also connect with one another in ways that advance the overall utility for the user. We would like to get a larger picture of the current work of several of these entities, their common threads, and the specific projects with which they are engaged.
The session will include the following six individuals representing research data platform products that exemplify these qualities. These include:
By leveraging the ways these entities work together in the user's favor, this in turn helps to solve the issue of too many disperate and unsustainable singular operations. As Simon Porter (2016) notes, system boundaries are disappearing and in its place emerges a "new research information citizenship" - one based on a network of contributors not confined to one specific system. Looking at these groups we can begin to see this emerging. The platforms and their utilities are of interest to ESIP members on several different levels. They represent some of the latest work in user-centered research data platforms and they also focus on openness, transparency, and ways to foster connections among different stakeholders and data user groups. In turn ESIP provides a unique venue for these platforms to explore new ways to work with the communities most engaged in working with multiple types of earth science data.
The session will conclude with a discussion of gaps and the path forward.
Science, Digital; Porter, Simon (2016): Digital Science White Paper: A New ‘Research Data Mechanics’. figshare.https://dx.doi.org/10.6084/m9.figshare.3514859.v1Retrieved: 16 56, Oct 27, 2016 (GMT)
Complete, consistent, and easy to understand information about data products is critical for meeting data discoverability, improved accessibility and usability, and interoperability requirements.
In the BigData and Open Data Era, with ever increasing variety and number of data products, it becomes increasingly impractical to do so in a manual fashion. The most effective way to ensure the completeness and quality of metadata and description documents of data products is to curate them in a systematic, consistent, and automatic fashion based on standards, community best practices, and defined frameworks.
Efforts to meeting this goal have been carried out in various disciplines and projects. This session invites presentations to describe and share their work/progress with the ESIP community on systems, tools, frameworks, workflows, etc. that enable repositories/data centers to systematically generate and provide descriptive information about the data products to data users for improved discoverability, transparency, usability, and interoperability. Additionally this session will discuss gaps that still need to be addressed.
Draft Agenda - 15 mins each (presentation + Q&A)