U.S. Department of the Interior U.S. Geological Survey CDI Webinar Series 2013 Data Management at the National Climate Change and Wildlife Science Center.

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Presentation transcript:

U.S. Department of the Interior U.S. Geological Survey CDI Webinar Series 2013 Data Management at the National Climate Change and Wildlife Science Center and the DOI Climate Science Centers Emily Fort, USGS NCCWSC September 2013

2 CDI Webinar Series 2013

3 Challenges Need to know what we are doing and where across the network Need to provide some basic capabilities and consistency for the NCCWSC and the CSCs Ensure data policies are enforced Provide access for university + federal scientists Fund ~100 projects each year Recognize reality that we are a new and growing program with a small staff

4 CDI Webinar Series 2013 Opportunities Blank slate Government policy Supportive management Recognition of importance of tools and data management Extensive capabilities at USGS, other federal agencies, and at the universities

5 CDI Webinar Series 2013 Approach Don’t build another stove pipe Provide support to CSCs – both tools and people (data stewards for each CSC) Develop data policies Link projects to data and products Use standards and web services Identify integration opportunities Develop core capabilities that our partners can link to, integrate, reimagine

6 CDI Webinar Series 2013 Data Policies All project products (data, models, etc.) will be shared (unless there is a good reason not to) Sharing happens when the project is complete Data management plans are required and should follow the developed template Common standards should be used Metadata must be provided

7 CDI Webinar Series 2013 Data Management Plan Template Organized by inputs and outputs For inputs, ask about new collections and use of existing data 1[Name of Collection] Description: Describe the information that will be used and the nature and scale (e.g., national, regional, landscape, etc.) of the data. Include a link to the source of the existing data. Format:Identify the formats in which the data are maintained and made available. Quality Checks: Specify the procedures used to evaluate the existing data, including verification, validation, and an assessment of usability. Source:Identify the source for the data. Data Processing & Scientific Workflows: Describe any data processing steps or provide a scientific workflow you plan to use to manipulate the data, as appropriate. Backup & Storage: Describe the approach for backup and storage of the information associated with the research project during the project. Volume Estimate:Estimate the volume of information that will be generated: megabyte (MB), GB, TB, or PB. Access & Sharing: Prior to the completion of the project, specify who should have access to project information/products and what type of access (Public, Read, Write, No Access). Restrictions: Identify any limitations on access or reuse (e.g., sensitive data, restricted data, software with license restrictions, etc.) and provide justification for restriction. Provide citation or documentation describing limitations if due to policies or legal reasons. Fees:Identify any fees associated with acquiring the data. Citation:Provide citation for data product. If the data product can be found online, provide a URL. 1[Name of Output] Description:Describe the data output. Data Management Resources: Describe the proposal resources allocated for data management activities for the new data collected as a level of effort, total dollars allocated, or as a percentage of the total project’s cost. Resources could include people’s time or proposal funding. Format:Identify the formats in which the data will be generated, maintained, and made available. Data Processing & Scientific Workflows: Describe data processing steps or provide a scientific workflow you plan to use to manipulate the data, as appropriate. Quality Checks:Specify the procedures for ensuring data quality during the project. Metadata: Identify the metadata standard that will be used to describe the data and products (FGDC, ISO, EML, etc.) Volume Estimate:Estimate the volume of information generated: megabyte (MB), GB, TB, or PB. Backup & Storage: Describe the approach for backup and storage of the information associated with the research project during the project. Repository for Data: In addition to the NCCWSC repository (ScienceBase), identify any other repositories where you plan to share your data. Access & Sharing: Prior to the completion of the project, specify who should have access to project information/products and what type of access (Public, Read, Write, No Access). Exclusive Use: Project data and associated products should be available publically at the end of the project. If a request to limit access for a period of time after project completion is needed, please identify the length of time and the reason for the extension. (Request cannot be more than two years.) Restrictions: Identify any limitations on access or reuse (e.g., sensitive data, restricted data, software with license restrictions, etc.) and provide justification for restriction. Provide citation or documentation describing limitations if due to policies or legal reasons. Citation:Specify how the project’s data should be cited. Digital Object Identifier (DOI)/Link: Provide a digital object identifier (DOI)/link to the project when available publically. Contact:Provide a point(s) of contact if questions arise related to the data and associated products (name, , and phone number).

8 CDI Webinar Series 2013 Role of Data Steward For each proposal, the proposal data management plan (DMP) is reviewed and comments are provided For funded proposals, a data steward works with the research team to complete the full DMP and answer any questions At project completion, the data steward works with the research team to transfer the products to the NCCWSC repository - ScienceBase

9 CDI Webinar Series 2013 Steps Along the Way Collect and review statements of interest and proposals Collect and review data management plans Select proposals RFP Manager Harvest accepted proposals into working folder Review information and move to public folder when ready ScienceBase Make project available on NCCWSC Drupal website and DEPTH Search for information via ScienceBase & Integrated Search Website, Depth, & Integrated Search 9

10 CDI Webinar Series 2013 ScienceBase Project Record Note Tags Commun- itities Related items 10

11 CDI Webinar Series 2013 RFP Manager Needed a way to collect proposal information and conduct peer review Ensures consistency in process and compliance with policies (including DMP) 11

12 CDI Webinar Series 2013 NCCWSC Website Project Pages - Summary Use ScienceBase’s web services and styled by our Drupal content management system CSC Projects: pages/4f4e476ae4b07f02db47e13b pages/4f4e476ae4b07f02db47e13b 12 Organized by FY and CSC Icon to indicate data/map

13 CDI Webinar Series 2013 NCCWSC Website Project Pages - Detail Example URL: project/5006c1e5e4b0abf7ce733f3b /5006f498e4b0abf7ce733f92 project/5006c1e5e4b0abf7ce733f3b /5006f498e4b0abf7ce733f92 13

14 CDI Webinar Series 2013 DEPTH Project-centric view of ScienceBase information Searchable by many filters, including science agenda Intuitive entry of new records Assists with CSC regional coordination Example: 4b0abf7ce733f92/csc 4b0abf7ce733f92/csc 14

15 CDI Webinar Series 2013 Integrated Search Search multiple data repositories at the same time Uses common metadata standard Works by using csw (catalog service for the web) Give us feedback! /integrated_search 15

16 CDI Webinar Series 2013 Where Do We Go From Here? Learn lessons from DMPs to improve guidance, clarify, walk line of getting the right amount of information at the proposal stage Identify areas for future collaboration and integration with partners and CSC members Develop additional tools and features as needed (and as resources allow) Add features (DOIs, data management plan editor, etc.) 16

17 CDI Webinar Series 2013 Questions? Contact –Emily Fort: Web URL: if applicable –