Summer Intern Mentor Plan

Project Plan:

Preliminary research will establish infrastructure  for the automation process including programming platform, initial browsing technology, demo-site, development libraries and tools that  will be used to implement the prototype.  

Overall, this plan focuses on  :

1. Extracting DataONE datasets from the Dryad, KNB and ORNL-DAAC repositories  and exposing them as RDF,
2. Reconciling data within the datasets to authoritative sources, considering  common sources, and
3. Merging the DataONE RDF data into a larger data cloud like the Linked Open Data Cloud.

Week 1 (Jun 6th - Jun 10th )

Project Activities:        Focus on selecting data and RDF structure for DataONE dataset repositories (KNB, Dryad, ORNL-DAAC)

• Identify ‘best’ data to extract from repositories.
• Identify RDF vocabularies /structures (either ad-hoc or predefined) for the different data.  Currently not necessarily considering the same vocabulary.
• Define use-cases and extraction/RDF plan for the different datasets, e.g., which fields, why and why not
• Update LOD4DataONE DataONE notebook
• Email interns & mentors

Development opportunities for the intern:        Identifying data knowledge contacts

                Learning how to apply RDF to scientific data in the DataONE repositories

Expected Outcomes:        List of initial set of datasets (at least 3 from each), vocabularies, and use-cases that will be included in the prototype

Complete?:        No

Week 2 (Jun 13th -  Jun 17th)

Project Activities:        Focus on extracting data and generating RDF

•  Automated extraction of datasets from  3 repositories.
•  Generate RDF based on recommendations in week 1.
• Make RDF browsable  through RDF browser.
• Establish site for community access to browser/RDF

• Update LOD4DataONE DataONE notebook
• Email interns & mentors

Development opportunities for the intern:        Understand how to  extract from different scientific source repositories.

                Understand the challenges in making scientific data browsable.

Expected Outcomes:        Extracted data accessible in RDF and browsable via the web.

Complete?:        No

Week 3 (Jun 20th - Jun 24th)

Project Activities:        Evaluate research effort and  data with DataONE community

• Demo  project & gather input.
• Discuss content  extracted and published in RDF.  Should there be more or less?  
• Identify content to be reconciled and the ‘best’ source
• Discuss axes of integration between the DataONE data selected
• Discuss URIs  from 3 datasets, to one cloud repository
• Consider a more consistent vocabulary or ontology to represent all the DataONE datasets chosen.
• Identify next steps  to reconciling data
• Update LOD4DataONE DataONE notebook
• Email interns & mentors

Development opportunities for the intern:        Learning how to integrate RDF datasets  to common         

authoritative sources.

Expected Outcomes:        Identify next implementation steps for data reconciliation

Complete?:        No

Week 4 (Jun  27th - Jul 1st)

Project Activities:        Focus on reconciliation of data with authoritative sources

• Implement next steps
• Investigate & implement integration to data sources
• Rebuild RDF

• Update LOD4DataONE DataONE notebook
• Email interns & mentors

Development opportunities for the intern:        Learning how to integrate RDF data with other/source data

                Learning how to identify and choose valid/useful data sources

Expected Outcomes:        Data linked to other sources of data

Complete?:        No

Week 5 (Jul 4th - Jul 8th)

Project Activities:        Focus on reconciliation of data with authoritative sources

• Continuation of previous week

• Update LOD4DataONE DataONE notebook
• Email interns & mentors

Development opportunities for the intern:        Learning how to integrate RDF data with other/source data

                Learning how to identify and choose valid/useful data sources

Expected Outcomes:        Data linked to other sources of data

Complete?:        No

Week 6 (Jul 11th - Jul 15th)  – Midterm evaluations.

Project Activities:        Evaluate research effort and  data with DataONE community

• Demo  project & gather input.
• Identify the cloud integration with the DataONE community; which will be the ‘bigger cloud’,   e.g., Linked Open Data Cloud?
• Discuss the data and availability on a larger  cloud.
• Identify axes of integration.  Discuss other authoritative sources.
• Discuss URIs on the larger cloud.
• Consider impact of current vocabulary/ontologies chosen to represent data
• Identify next steps to integrating this data with a bigger cloud
•  Update LOD4DataONE DataONE notebook
• Email interns & mentors

Development opportunities for the intern:        Learning how to integrate RDF datasets on a bigger cloud

Expected Outcomes:        Identify next implementation steps for cloud integration

Complete?:        No

Week 7 (Jul 25th - Jul 29th)

Project Activities:        Focus on the bigger cloud

• Implement next steps
• Make needed infrastructure changes
• Rebuild RDF
• Update LOD4DataONE DataONE notebook
• Email interns & mentors

Development opportunities for the intern:        Learning how to integrate RDF datasets on a bigger cloud

        Identifying useful cloud features for integrating RDF data

Expected Outcomes:        DataONE data accessible from a bigger cloud, e.g., Linked Open Data Cloud

Complete?:        No

Week 8 (Aug 1st - Aug 5th)

Project Activities:        Focus on the bigger cloud

• Continuation of previous week
• Update LOD4DataONE DataONE notebook
• Email interns & mentors

Development opportunities for the intern:        Learning how to integrate RDF datasets on a bigger cloud

Expected Outcomes:        DataONE data accessible from a bigger cloud, e.g., Linked Open Data Cloud

Complete?:        No

Week 9 (Aug 8th - Aug 12th)

Project Activities:        Evaluate research effort and impact with  DataONE and LOD community

• Identify someone from LOD and add to discussion
• Demo project & gather  input
• Discuss closing of research effort
• Identify final steps
• Update LOD4DataONE DataONE notebook
• Email interns & mentors

Development opportunities for the intern:        Alignment of research with DataONE and LOD communiy

Expected Outcomes:        Steps to close research

Complete?:        No

Week 10 (Aug 15th - Aug 19th)

Project Activities:        Documentation and project completion.

• Implement steps to close research
• Report on lessons learned and result architecture
• Complete Code; Submit final verison to GitHub
• Update LOD4DataONE  DataONE notebook
• Email interns & mentors

Development opportunities for the intern:        Clearer understanding of the results of the  project.    Documentation of internship work.

Expected Outcomes:        Final: Demo, Documentation  & Code

Complete?:        No

Date:  06/02/2011

Intern: Aida Gandara    _______________________

Mentor:  Hilmar Lapp    ______________________