Difference between revisions of "Data Risk Factors"
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==== COMMITTEE MEMBER EXPERIENCE ==== | ==== COMMITTEE MEMBER EXPERIENCE ==== | ||
+ | Downs, RR. 2009. Managing Risks to Scientific Data, Presented at the NYU/IBM Workshop on Managing Data Risk: Acquisition, Processing, Retention and Governance. New York, NY, April 24, 2009. Columbia University Academic Commons, https://doi.org/10.7916/D8697G5P. | ||
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Ramapriyan, H.K. 2017. NASA's EOSDIS, Trust and Certification. Presented at 2017 ESIP Summer Meeting, Bloomington, IN. | Ramapriyan, H.K. 2017. NASA's EOSDIS, Trust and Certification. Presented at 2017 ESIP Summer Meeting, Bloomington, IN. | ||
https://figshare.com/articles/NASA_s_EOSDIS_Trust_and_Certification/5258047 | https://figshare.com/articles/NASA_s_EOSDIS_Trust_and_Certification/5258047 |
Revision as of 14:33, November 20, 2017
Data collections can face a variety of risk factors. This page provides a set of resources that will be used by members of the ESIP Data Stewardship Committee to analyze and categorize these factors. The goal of this activity is to inform and enable a) individuals and organizations who manage data collections, and b) individuals and organizations who are wanting to help to reduce the risks associated with data preservation and stewardship.
MEETING NOTES
GROUP DOCUMENTS
- From Mark Parsons - Example of a data risk register, created Oct. 2017
- Working ideas document, created Nov. 8, 2017
RELEVANT LITERATURE
Anderson, William L., Faundeen, John L., Greenberg, Jane, & Taylor, Fraser. (2011). Metadata for data rescue and data at risk. In Conference on Ensuring Long-Term Preservation in Adding Value to Scientific and Technical Data. http://hdl.handle.net/2152/20056
Downs, Robert R. & Chen, Robert S. (2017). Curation of scientific data at risk of loss: Data rescue and dissemination. In Johnston, Lisa (Ed). Curating Research Data. Volume One, Practical Strategies for Your Digital Repository. Association of College and Research Libraries. http://dx.doi.org/10.7916/D8W09BMQ
Griffin, R.E. (2015). When are old data new data? GeoResJ, 6: 92–97. http://dx.doi.org/10.1016/j.grj.2015.02.004
Hsu, L., Lehnert, K.A., Goodwillie, A., Delano, J.W., Gill, J.B., Tivey, M.A., Ferrini, V.L., Carbotte, S.M., Arko R.A. (2015). Rescue of long-tail data from the ocean bottom to the Moon: IEDA Data Rescue Mini-Awards, GeoResJ, 6:108-114, http://dx.doi.org/10.1016/j.grj.2015.02.012.
Ryan, H. (2014). Occam’s razor and file format endangerment factors. Proceedings of the 11th International Conference on Digital Preservation (iPres), October 6-10, 2014: Melbourne, Australia (pp. 179-188). https://www.nla.gov.au/sites/default/files/ipres2014-proceedings-version_1.pdf
Thompson, C.A., Robertson, W. D., & Greenberg, J. (2014). Where have all the scientific data gone? LIS perspective on the data-at-risk predicament. College & Research Libraries, 75(6), 842-861. https://doi.org/10.5860/crl.75.6.842
Michener, William K., et al. “Nongeospatial Metadata for the Ecological Sciences.” Ecological Applications, vol. 7, no. 1, Feb. 1997, pp. 330–42. Wiley Online Library, doi:10.1890/1051-0761(1997)007[0330:NMFTES]2.0.CO;2. [0330:NMFTES2.0.CO;2/abstract]
ORGANIZATIONS & GUIDELINES
Guidelines to the Rescue of Data At Risk, https://www.rd-alliance.org/guidelines-rescue-data-risk
Research Data Alliance Data Rescue Interest Group. https://www.rd-alliance.org/groups/data-rescue.html
US Geological Survey. 2016 Data at Risk Project. https://www.fort.usgs.gov/ldi/2016-data-at-risk-project
National Oceanic and Atmospheric Administration. Climate Database Modernization Program. https://www.ncdc.noaa.gov/climate-information/research-programs/climate-database-modernization-program
International Environmental Data Rescue Organization (IEDRO), http://iedro.org/
Tan, L. S., S. Burton, R. Crouthamel, A. van Engelen, R. Hutchinson, L. Nicodemus, T. C. Peterson, F. Rahimzadeh. (2004). Guidelines on Climate Data Rescue. WMO/TD No. 1210. Ed. by P. Llansó and H. Kontongomde. Geneva, Switzerland: World Meteorological Organization. http://www.wmo.int/pages/prog/wcp/wcdmp/documents/WCDMP-55.pdf
Beaverson, Sheena. (2009). Data Deaccessioning Guidelines for the NSIDC DAAC. http://wiki.esipfed.org/images/8/87/Beaverson_DataPlan.pdf
NESDIS Data Archive Board, (2002). Scientific Data Stewardship - Executive Summary.
CODATA/RDA 2016 WORKSHOP
The Rescue of Data At Risk: An RDA / CODATA Workshop http://www.codata.org/task-groups/data-at-risk/dar-workshops
Agenda - http://www.codata.org/uploads/RescueofDataatRisk-WorkshopAgenda.pdf
Videos
- Session 1 - https://www.youtube.com/watch?v=cE5CDaIytZI
- Session 2 - https://www.youtube.com/watch?v=OgHH9-vuFsw
- Session 3 - https://www.youtube.com/watch?v=NihiszNms3o
- Session 4 - https://www.youtube.com/watch?v=i6q91LFJ7aU
- Session 5 - https://www.youtube.com/watch?v=ePp2JOdHrJQ
Presentation slides - https://drive.google.com/drive/folders/0B_NJP_ik1Aj-M0Z5aG1tSFNDVmM?usp=sharing
TRUSTED DATA REPOSITORY EVALUATION AND CERTIFICATIONS
Center for Research Libraries and Online Computer Library Center, Inc. (2007). Trustworthy Repositories Audit & Certification: Criteria and Checklist. https://www.crl.edu/archiving-preservation/digital-archives/metrics-assessing-and-certifying/iso16363
Data Preservation Sub-Committee of the USGS Fundamental Science Practices Advisory Committee (FSPAC). (2015). FSPAC Data Preservation Criteria for a Trusted Digital Repository. https://docs.google.com/spreadsheets/d/1DQ3XDRoe7THmoFxwPoV2lcEqkn0Q7SkrPQfizxm6fLU/edit#gid=1446608780
Data Seal of Approval and ICSU World Data System. (2016). Core Trustworthy Data Repositories Requirements. https://drive.google.com/file/d/0B4qnUFYMgSc-eDRSTE53bDUwd28/view
McGovern, N. Y. (2016). DPM “Stack”: A Management Infrastructure Frame for Digital Preservation that Parallels Technical Infrastructure. https://www.dataone.org/sites/default/files/sites/all/documents/dws13dec2016.pdf
Nestor Certification Working Group. (2013). Explanatory Notes on the Nestor Seal for Trustworthy Digital Archives. http://d-nb.info/1047613859/34
Peng, G. (2015). The scientific data stewardship maturity assessment model template. Version: NCDC-CICS-SMM-0001-Rev.1 v4.0 06/23/2015. https://dx.doi.org/10.6084/m9.figshare.1211954
Rans, J. and Whyte, A. (2017). Using RISE: the Research Infrastructure Self-Evaluation Framework. http://www.dcc.ac.uk/resources/how-guides/RISE
Stall, S. (2016, December). So You want to Be Trustworthy: A repository’s Guide to Taking Reasonable Steps Towards Achieving ISO16363 . Poster presented at the 2016 AGU Fall Meeting, San Francisco, CA.
COMMITTEE MEMBER EXPERIENCE
Downs, RR. 2009. Managing Risks to Scientific Data, Presented at the NYU/IBM Workshop on Managing Data Risk: Acquisition, Processing, Retention and Governance. New York, NY, April 24, 2009. Columbia University Academic Commons, https://doi.org/10.7916/D8697G5P.
Ramapriyan, H.K. 2017. NASA's EOSDIS, Trust and Certification. Presented at 2017 ESIP Summer Meeting, Bloomington, IN. https://figshare.com/articles/NASA_s_EOSDIS_Trust_and_Certification/5258047