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http://www.datacommons.psu.edu. Overview of Today’s session. [email protected] background Overview of capabilities Case studies & data partners Findings. Why Develop a DataCommons?. Data management plans and curation are now a requirement of funding agencies like NSF and NIH .

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Overview of today s session
Overview of Today’s session

  • [email protected] background

  • Overview of capabilities

  • Case studies & data partners

  • Findings


Why develop a datacommons
Why Develop a DataCommons?

  • Data management plans and curation are now a requirement of funding agencies like NSF and NIH.

  • The issue of data has been featured in journals such as Science and discussed and supported in international scientific research societies such as the Royal Society in the UK (Science as an Open Enterprise) and in organizations such as the European Commission.


Why develop a datacommons1
Why Develop a DataCommons?

  • The issues related to data acquisition, collection, curation, and access have not only become of central importance to funding agencies, they have been recognized as vital to research, collaboration, and teaching.

  • Science February 2011 special issue highlights the importance of these issues:

    “Scientific innovation has been called on to spur economic recovery; science and technology are essential to improving public health and welfare and to inform sustainability; and the scientific community has been criticized for not being sufficiently accountable and transparent. Data collection, curation, and access are central to all of these issues.”

    Furthermore:

    “Most scientific disciplines are finding the data deluge to be extremely challenging, and tremendous opportunities can be realized if we can better organize and access the data.”



Background on the datacommons@psu
Background on the [email protected]

  • 2005

    • Concept first presented by PSIEE as an environmental data library and repository for geospatial information created by PSU faculty, researchers, and collaborators.

    • Received a $5K grant from PSU to explore the concept and acquire data.

  • 2010

    • PSIEE presented this idea to the PSIEE director, the director of the Institute for Cyberscience, and the director of the High Performance Computing Center in spring 2010.

    • They recognized that this was a common need and had similar goals and interests currently underway.

    • Growing interest and support in the next six months led to a PSU data community meeting sponsored by the Institute for CyberScience and PSIEE in September 2010.

  • 2011

    • Over the next few months the DataCommons site and search/retrieval mechanism were developed and tested and the first new research data was acquired.

    • The [email protected] site was officially launched in April 2011 has grown to include a wide array of data including geospatial, tabular data and databases, documents, models, and protocols.


Why is this important to penn state
Why is this important to Penn State?

  • Access to information is vital to much of the research, teaching, and outreach conducted by the Penn State Community.

  • Data also demonstrates research productivity which is usually only represented in $.

  • The [email protected] provides a picture of PSU research.


Purpose
Purpose

  • The purpose of the [email protected] is to serve as a portal to data, applications, and resources that support efforts across the Penn State community.

  • The [email protected] facilitates interdisciplinary collaboration by connecting people and resources through:

    • Data Discovery & Access

    • Data Archiving and Preservation

    • Support of Data Sharing

    • Development of Data and Application Documentation (Metadata)

    • Support for development of agency required data management plans

    • Metadata development seminars (new)

      The [email protected] does not replace existing programs or projects but highlights those by making information and their websites/data accessible via the [email protected] search engine.


Purpose1
Purpose…

  • Highlight data, applications, models, and projects created by members of the university community.

  • Support collaboration and data sharing across those efforts and communities.

  • Support the development of large scale research proposals and provide the data infrastructure to build research gateways.

  • Reduce costs by providing widespread access to data needed by multiple projects and programs and reduce redundant data acquisition efforts and storage of data—Core Data

  • Enhance the ability to develop research proposals, publish results, and aid in supporting the educational/outreach component of major funders.

  • Provide a unifying tool that promotes cooperation and the development of cross college/cross campus initiatives by linking individuals and groups with similar interests and information needs together.



Capabilities
Capabilities

  • Data storage

  • Metadata development

  • Data search, retrieval, and access

  • Visualization of compatible data

  • Core data

  • Documentation and access to apps created by PSU

  • Documentation of models and protocols

  • Creation of Digital Object Identifiers (DOIs)

  • Links to existing data repositories with PSU data

  • References and links to publications based on the data


Search engine data discovery portal
Search Engine & Data Discovery Portal

Enhanced Data Discovery Options

Search by PSU College/Dept/Center/Institute


Enhanced Data Discovery Options

Search by PSU Researcher


Enhanced Data Discovery Options

Search by Research Theme



  • Researcher: Gabrielle Alpirez de Davie, Education

    Data: Validity of *ONET Work Importance Profile web version for Spanish speaking populations

  • Researcher: John Reichendorfer, OPP, Tom Flynn, OPP Landscape

    Data: Aerial Photography, Tree Database, PSU vector data

  • Researcher: Dennis Decoteau, Horticulture,

    Data: Ambient air monitoring for Pennsylvania

  • Researcher: Marc Abrams, Department of Ecosystem Management

    Data:Impacts of contrasting land-use history on composition, soils, and development of mixed-oak, coastal plain forests on Shelter Island, New York

  • Researcher: Kim Steiner, Department of Ecosystem Management

    Data: Oak Forest Regeneration

  • Researcher: Dr. Robert P. Brooks, Geography Department, Riparia

    Data: Pocono Birds--Presence & Proportion on Lakes

  • Researcher: Dr. Eric Post, Department of Biology

    Data: Trophic Mismatch—Caribou Phenology

  • Researcher: Andrew Patterson, Huck Life Sciences Institute

    Data: Metabolomics, Ant Tissue


Data summary page downloadable data
Data Summary Page:Downloadable Data



Apps tools

Links to Data in Application

Links to Data in Thematic Database

Apps & Tools


Data summary page multiple options
Data Summary Page: Multiple Options

Multiple Data Viewing/Download Options

GIS Enabled Data


Case studies metabolomics data
Case Studies: Metabolomics Data

Currently hosting data for the Center for Molecular Toxicology and Carcinogenesis.

Data and protocols can be accessed from Data Commons and from the Metabolomics Explorer.


Case studies arboretum at penn state
Case Studies: Arboretum at Penn State

Collaboration across departments

DataCommons is working with the PSU Arboretum and OPP to acquire and provide access to data via the DataCommons as well as an interactive application.

Goals are to provide both access to data and usable apps for the public, for teaching at PSU, and for research.

The PSU campus as a living lab!


Findings
Findings

  • Need for preservation long term.

  • Need for plan to transition or upgrade to new versions of software.

  • Need for metadata education.

  • Curation of sensitive data.

  • Large datasets—video, astronomical observations, remotely sensed data need to be housed and preserved.


Findings continued
Findings continued…

  • Data storage for projects that already provide public access to data but need a centralized permanent home.

  • Need for data to be accessed by multiple interfaces.

  • Identity can be important to some providers.

  • Cross campus workgroups that have common data, platform/software needs but no place to store the data.



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