Data Risk Factors

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.

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

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

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 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

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