globalchange  > 影响、适应和脆弱性
项目编号: 1540929
项目名称:
EarthCube IA: Collaborative Proposal: Enhancing Paleontological and Neontological Data Discovery API
作者: Mark Uhen
承担单位: George Mason University
批准年: 2014
开始日期: 2015-09-01
结束日期: 2018-08-31
资助金额: USD115394
资助来源: US-NSF
项目类别: Standard Grant
国家: US
语种: 英语
特色学科分类: Geosciences - Integrative and Collaborative Education and Research
英文关键词: datum ; specimen ; researcher ; paleobiology database ; research question ; collaborative program ; future datum initiative ; environmental change ; multiple separate online database ; project
英文摘要: Understanding future environmental change requires researchers to access and integrate data from the geological and biological sciences, in order to answer questions about how environmental change will affect life on Earth. In many cases the data needed to answer these questions already exists but, unfortunately, technology has not kept pace with research needs. This places increasing demands on researchers, who have to search for and download data from multiple separate online databases; compile published information from many different literature sources; and track down specimens housed in museum and other collections scattered around the world. The time needed to search and retrieve this information is enormous and, once found, the data often have to be standardized before they can be used. This project will tackle this problem by developing software tools to connect three established, well-supported, and critically important data sources: the Paleobiology Database (PBDB, paleontological, literature based), iDigPaleo (paleontological, specimen based) and iDigBio (neontological, specimen based). This project will allow users of any one of these databases to access and query the others at the same time, returning a much richer, combined set of data to the user. Connecting these resources will open up a whole host of research questions that are currently difficult to answer, even by multiple researchers working as a team. The development of this system will allow scientists to ask and answer new research questions affecting fields as diverse as biogeographic/niche modeling, systematics, functional morphology, evolutionary biology, ecology, climatology, conservation biology, oceanography, and petroleum geology. This project will fundamentally change the nature of the research questions that can be addressed by the scientific community.

The connectivity between modern and fossil, and specimen and literature-based resources does not currently exist. The digital infrastructure provided by the composite ePANDDA application programming interfaces (APIs) will streamline and normalize data acquisition, including retrieval from disparate data sources, and will facilitate coordination with future data initiatives. Rather than creating another portal for the aggregation of data, ePANDDA will unify results that normally would have required multiple searches on numerous platforms. For the researcher, this eliminates a significant barrier to data collection and processing. Researchers will now have the ability to collaborate across disciplinary boundaries to study earth system processes and the nature of biotic response to environmental change across both space and time. Linking publications to specimens will enrich the potential of museum collections and augment their value for both research and education. The ePANDDA project also provides an opportunity to build collaborative programs that leverage existing education and outreach activities in addition to the primary research goals.
资源类型: 项目
标识符: http://119.78.100.158/handle/2HF3EXSE/93480
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

Files in This Item:

There are no files associated with this item.


Recommended Citation:
Mark Uhen. EarthCube IA: Collaborative Proposal: Enhancing Paleontological and Neontological Data Discovery API. 2014-01-01.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Mark Uhen]'s Articles
百度学术
Similar articles in Baidu Scholar
[Mark Uhen]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Mark Uhen]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.