1 / 14

Data in the NEES Data Repository

Data in the NEES Data Repository. Conditions for Current and Future Use and Re-Use. Stanislav Pej ša NEEScomm D ata C urator , NEES. Quake Summit 2012, Boston, Massachusetts July 12, 2012. This work is licensed under a Creative Commons Attribution 3.0 Unported License. Table of Contents.

malloren-rasmussen
Télécharger la présentation

Data in the NEES Data Repository

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Data in the NEES Data Repository Conditions for Current and Future Use and Re-Use Stanislav Pejša NEEScomm Data Curator, NEES Quake Summit 2012, Boston, MassachusettsJuly 12, 2012 This work is licensed under a Creative Commons Attribution 3.0 Unported License.

  2. Table of Contents • Reference models • Data Flow in NEES Data Repository • NEES Data Goals • Data Archiving • Quality Assurance • Access and Sharing • Data Re-Use • Data Preservation

  3. I2S2 Research Lifecycle • Research activity • Administrative activity • Publication • Archive activity http://www.ukoln.ac.uk/projects/I2S2/documents/I2S2-ResearchActivityLifecycleModel-110407.pdf

  4. DCC Curation Lifecycle http://www.dcc.ac.uk/resources/curation-lifecycle-model

  5. OAIS Functional Model 6 functional entities • Ingest • Archival storage • Data management • Administration • Preservation planning • Access

  6. Data Flow in NEES http://nees.org/warehouse/experiment/1622/project/637

  7. NEES Data Goals Aligned with NSF Data Management Plan (DMP)requirements* • All research data and documentation will be archived Types of data and other materials to be produced during project • Archived data will be of high quality Standards to be used for data and metadata format and content • Archived data will be accessible and shareable Policies for access and sharing • Archived data will be re-usable Policies and provisions for re-use • Archived data will be preserved Plans for archiving and preservation of access to them * http://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/gpg_2.jsp#dmp

  8. Data Archiving • Who • research team, site personnel, curator, NEEScomm • What • sensor measurements, sensor calibrations, observations, analyses, numerical simulations, images and videos, reports (including publications and presentations), logs • When • Dates are stated in the Data Sharing and Archiving Policies (1 month, 6 moths, 12 months) • For as long as the data are useful ~ indefinitely ~ for 20 years • Where • Project Warehouse http://nees.org/warehouse/welcome • Why • increases researcher’s impact • saves work, time, money • good practice • advances science

  9. Information Package Information Package – discoverable through descriptive information • Content Information - the original target of preservation - consists of • Content Data Object (bits) • Representation Information – needed to make object understandable to the community (record) • Preservation Description Information - information needed to preserve the Content Information • Provenance • Context • Reference (Identification) • Fixity – protect the CI from undocumented alteration • Access rights

  10. Quality Assurance Data need to be understandable • Standards Seeing standards • Research teams • Professional standards • Team guidelines for data management • NEEScomm requirements • NEES Sites • Certifications • Professional standards • Local guidelines (naming conventions, etc.) • NEES Data Repository • OAIS • PREMIS • Dublin Core • Documentation and metadata requirements • Curation • interactive and iterative exchange • assessment of technical quality of data and relevant documentation

  11. Access and Sharing • Time • Unprocessed data – within 1 month • Corrected data and documentation – within 6 months • Data made PUBLIC within 12 months • Conditions for access and sharing (Let others know that they can use your data) • Open Data data • Creative Commons presentations, reports, pre-prints/post-prints, teaching materials • Open Source software more on intellectual property considerations https://nees.org/legal/licensing

  12. Data Re-Use Use of known, tested, and open formats is key to the success of any future attempt to use data • Data Use -Using research data for the current research purpose/activity to infer new knowledge about the research subject. • Data Re-use - Using research data for a research purpose/activity other than that for which it was intended. • Data Purposing - Making research data available and fit for the current research activity. • Data Re-purposing -Making existing research data available and fit for a future known research activity. • Supporting Data Re-use - Managing existing research data such that it will be available for a future unknown research activity. Darlington, M. (ed.) (2011a) "ERIM Terminology", version 4. University of Bath, last updated April 12, 2011 http://wiki.bath.ac.uk/display/ERIMterminology/ERIM+Terminology+V4 Ball, A., Darlington, M, Howard, T., McMahon, Chris, Culley, S. (2012). Visualizing Research Data Records for their Better Management. Journal of Digital Information, Vol 13, No 1. Available at http://journals.tdl.org/jodi/article/view/5917

  13. Preservation • Bit-level preservation All files will be stored and preserved on the bit-level • Full preservation Required and recommended (supported) formats Preservation strategies: • format migration • format refresh • emulation

  14. Thank you! Questions? Comments? Standa Pejša - spejsa@purdue.edu

More Related