Data Risk Factors

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* [https://drive.google.com/open?id=14GGIrwYu3rzFO9ugt77kFHYQ-80A0q57hZpTPpgrPSA Nov. 6, 2017]
 
* [https://drive.google.com/open?id=14GGIrwYu3rzFO9ugt77kFHYQ-80A0q57hZpTPpgrPSA Nov. 6, 2017]
 
* [https://esip.sharefile.com/share/view/s158834cf0644f049/fo08c700-0e39-4493-a6ea-f1919fcef4d1 Video of the ESIP Winter Meeting session, Jan 10, 2018] (choose the "Linden Oak" video, our session is the first half of the video)  
 
* [https://esip.sharefile.com/share/view/s158834cf0644f049/fo08c700-0e39-4493-a6ea-f1919fcef4d1 Video of the ESIP Winter Meeting session, Jan 10, 2018] (choose the "Linden Oak" video, our session is the first half of the video)  
** Robert Downs slides
+
** Robert Downs slides - [[File:DownsUnderstandingRiskstotheUseofResearchData20180110.pptx]]
 
** [https://docs.google.com/presentation/d/1WbCu4aZShRz-vOCBLRX8psodp0xxPELUuotHNCJQxzc/edit?usp=sharing Denise Hills slides]
 
** [https://docs.google.com/presentation/d/1WbCu4aZShRz-vOCBLRX8psodp0xxPELUuotHNCJQxzc/edit?usp=sharing Denise Hills slides]
** Matt Mayernik slides
+
* Matt Mayernik presentation, 7/16/2019, [https://docs.google.com/presentation/d/1nSKPDLR2lvuhb7AVCYRq-sWD4XxTH_BGdazxrXZM2mc/edit?usp=sharing Data Risk Assessment Matrix: NCAR Example]
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* From Mark Parsons - [https://docs.google.com/document/d/11E7q8aqKXMqfvlG_P26MLRbO2t_3Pvbev2s3sjx4nkU/edit?usp=sharing Example of a data risk register], created Oct. 2017
 
* From Mark Parsons - [https://docs.google.com/document/d/11E7q8aqKXMqfvlG_P26MLRbO2t_3Pvbev2s3sjx4nkU/edit?usp=sharing Example of a data risk register], created Oct. 2017
 
* [https://docs.google.com/document/d/1otZ1PKKWZFps2c3xZY5Hd76EIfYi7KHRxMqCRwwHahw/edit?usp=sharing Working ideas document], created Nov. 8, 2017  
 
* [https://docs.google.com/document/d/1otZ1PKKWZFps2c3xZY5Hd76EIfYi7KHRxMqCRwwHahw/edit?usp=sharing Working ideas document], created Nov. 8, 2017  
 +
* [https://drive.google.com/open?id=1MWSo_WzsOgLCTD5WKQh-3gtybE1MjV0BvXUctM1PBsk Paper draft for publication], created Dec. 2018
 +
** [https://drive.google.com/open?id=1ETeDkX_iD50x1q6KU-ngpi0NWFwZlsZQ1wCsBH-rQJc Template risk factor matrix]
  
  
 
==== RELEVANT LITERATURE ====
 
==== 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
+
# 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
 
+
# Brunet, M., & Jones, P. (2011). Data rescue initiatives: bringing historical climate data into the 21st century. Climate Research, 47(1), 29–40. https://doi.org/10.3354/cr00960
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  
+
# 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
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
+
# Griffin, E. (2018). The data that get forgotten. In Data Science Landscape (pp. 183–198). Springer Singapore. https://doi.org/10.1007/978-981-10-7515-5_13
 
+
# 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
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.  
+
# Knapp, K. R., Bates, J. J., & Barkstrom, B. (2007). Scientific Data Stewardship: Lessons Learned from a Satallite–Data Rescue Effort. Bulletin of the American Meteorological Society, 88(9), 1359–1362. https://doi.org/10.1175/BAMS-88-9-1359
 
+
# Levitus, S., (2012). The UNESCO-IOC-IODE "Global Oceanographic Data Archeology and Rescue" (GODAR) Project and "World Ocean Database" Project. Data Science Journal, 11, pp. 46–71. http://doi.org/10.2481/dsj.012-014
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
+
# Michener, William K., et al. “Nongeospatial Metadata for the Ecological Sciences.” Ecological Applications, vol. 7, no. 1, Feb. 1997, pp. 330–42. https://doi.org/10.1890/1051-0761(1997)007[0330:NMFTES<nowiki>]</nowiki>2.0.CO;2
 
+
# Park, E. G., Burr, G., Slonosky, V., Sieber, R., & Podolsky, L. (2018). Data rescue archive weather (DRAW). Journal of Documentation, 74(4), 763–780. https://doi.org/10.1108/jd-10-2017-0150
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  
+
# Poli, P., Dee, D. P., Saunders, R., John, V. O., Rayer, P., Schulz, J., … Bojinski, S. (2017). Recent Advances in Satellite Data Rescue. Bulletin of the American Meteorological Society, 98(7), 1471–1484. https://doi.org/10.1175/BAMS-D-15-00194.1
 
+
# Ryan, C., Duffy, C., Broderick, C., Thorne, P. W., Curley, M., Walsh, S., … Murphy, C. (2018). Integrating Data Rescue into the Classroom. Bulletin of the American Meteorological Society, 99(9), 1757–1764. https://doi.org/10.1175/BAMS-D-17-0147.1
Michener, William K., et al. “Nongeospatial Metadata for the Ecological Sciences.” Ecological Applications, vol. 7, no. 1, Feb. 1997, pp. 330–42. [https://doi.org/10.1890/1051-0761(1997)007%5B0330:NMFTES%5D2.0.CO;2 https://doi.org/10.1890/1051-0761(1997)007[0330:NMFTES<nowiki>]</nowiki>2.0.CO;2]
+
# 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 ====
 
==== ORGANIZATIONS & GUIDELINES ====
Guidelines to the Rescue of Data At Risk, https://www.rd-alliance.org/guidelines-rescue-data-risk  
+
# 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
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  
 
+
## Link to Risk Evaluations and Reporting criteria: https://www.fort.usgs.gov/ldi/evaluations-reports
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/
-- Link to Risk Evaluations and Reporting criteria: https://www.fort.usgs.gov/ldi/evaluations-reports
+
# 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
National Oceanic and Atmospheric Administration. Climate Database Modernization Program. https://www.ncdc.noaa.gov/climate-information/research-programs/climate-database-modernization-program
+
# NESDIS Data Archive Board, (2002). Scientific Data Stewardship - Executive Summary.
 
+
# Digital Preservation Coalition - [http://dpconline.org/our-work/bit-list The 'Bit List' of Digitally Endangered Species]  
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.
+
 
+
Digital Preservation Coalition - [http://dpconline.org/our-work/bit-list The 'Bit List' of Digitally Endangered Species]  
+
  
  
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==== TRUSTED DATA REPOSITORY EVALUATION AND CERTIFICATIONS ====
 
==== 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
+
# 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 Preservation Sub-Committee of the USGS Fundamental Science Practices
+
# Data Seal of Approval and ICSU World Data System. (2016). Core Trustworthy Data Repositories Requirements. https://drive.google.com/file/d/0B4qnUFYMgSc-eDRSTE53bDUwd28/view
Advisory Committee (FSPAC). (2015). FSPAC Data Preservation Criteria for a Trusted Digital Repository. https://docs.google.com/spreadsheets/d/1DQ3XDRoe7THmoFxwPoV2lcEqkn0Q7SkrPQfizxm6fLU/edit#gid=1446608780
+
# 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
Data Seal of Approval and ICSU World Data System. (2016). Core Trustworthy Data Repositories Requirements. https://drive.google.com/file/d/0B4qnUFYMgSc-eDRSTE53bDUwd28/view
+
# 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
McGovern, N. Y. (2016). DPM “Stack”: A Management Infrastructure Frame for Digital Preservation that Parallels Technical Infrastructure.  
+
# Stall, S. (2016, December). [http://commons.esipfed.org/sites/default/files/AGU%20-%20Shelley%20Stall%20-%20Building%20Trust%20poster.pdf 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.
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 ====
 
==== 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.
+
# 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
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
+

Latest revision as of 11:33, 26 September 2019

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.

Contents

[edit] MEETING NOTES


[edit] GROUP DOCUMENTS


[edit] RELEVANT LITERATURE

  1. 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
  2. Brunet, M., & Jones, P. (2011). Data rescue initiatives: bringing historical climate data into the 21st century. Climate Research, 47(1), 29–40. https://doi.org/10.3354/cr00960
  3. 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
  4. 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
  5. Griffin, E. (2018). The data that get forgotten. In Data Science Landscape (pp. 183–198). Springer Singapore. https://doi.org/10.1007/978-981-10-7515-5_13
  6. 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
  7. Knapp, K. R., Bates, J. J., & Barkstrom, B. (2007). Scientific Data Stewardship: Lessons Learned from a Satallite–Data Rescue Effort. Bulletin of the American Meteorological Society, 88(9), 1359–1362. https://doi.org/10.1175/BAMS-88-9-1359
  8. Levitus, S., (2012). The UNESCO-IOC-IODE "Global Oceanographic Data Archeology and Rescue" (GODAR) Project and "World Ocean Database" Project. Data Science Journal, 11, pp. 46–71. http://doi.org/10.2481/dsj.012-014
  9. Michener, William K., et al. “Nongeospatial Metadata for the Ecological Sciences.” Ecological Applications, vol. 7, no. 1, Feb. 1997, pp. 330–42. https://doi.org/10.1890/1051-0761(1997)007[0330:NMFTES]2.0.CO;2
  10. Park, E. G., Burr, G., Slonosky, V., Sieber, R., & Podolsky, L. (2018). Data rescue archive weather (DRAW). Journal of Documentation, 74(4), 763–780. https://doi.org/10.1108/jd-10-2017-0150
  11. Poli, P., Dee, D. P., Saunders, R., John, V. O., Rayer, P., Schulz, J., … Bojinski, S. (2017). Recent Advances in Satellite Data Rescue. Bulletin of the American Meteorological Society, 98(7), 1471–1484. https://doi.org/10.1175/BAMS-D-15-00194.1
  12. Ryan, C., Duffy, C., Broderick, C., Thorne, P. W., Curley, M., Walsh, S., … Murphy, C. (2018). Integrating Data Rescue into the Classroom. Bulletin of the American Meteorological Society, 99(9), 1757–1764. https://doi.org/10.1175/BAMS-D-17-0147.1
  13. 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
  14. 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


[edit] ORGANIZATIONS & GUIDELINES

  1. Guidelines to the Rescue of Data At Risk, https://www.rd-alliance.org/guidelines-rescue-data-risk
  2. Research Data Alliance Data Rescue Interest Group. https://www.rd-alliance.org/groups/data-rescue.html
  3. US Geological Survey. 2016 Data at Risk Project. https://www.fort.usgs.gov/ldi/2016-data-at-risk-project
    1. Link to Risk Evaluations and Reporting criteria: https://www.fort.usgs.gov/ldi/evaluations-reports
  4. National Oceanic and Atmospheric Administration. Climate Database Modernization Program. https://www.ncdc.noaa.gov/climate-information/research-programs/climate-database-modernization-program
  5. International Environmental Data Rescue Organization (IEDRO), http://iedro.org/
  6. 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
  7. Beaverson, Sheena. (2009). Data Deaccessioning Guidelines for the NSIDC DAAC. http://wiki.esipfed.org/images/8/87/Beaverson_DataPlan.pdf
  8. NESDIS Data Archive Board, (2002). Scientific Data Stewardship - Executive Summary.
  9. Digital Preservation Coalition - The 'Bit List' of Digitally Endangered Species


[edit] 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

Presentation slides - https://drive.google.com/drive/folders/0B_NJP_ik1Aj-M0Z5aG1tSFNDVmM?usp=sharing


[edit] TRUSTED DATA REPOSITORY EVALUATION AND CERTIFICATIONS

  1. 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
  2. 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
  3. Data Seal of Approval and ICSU World Data System. (2016). Core Trustworthy Data Repositories Requirements. https://drive.google.com/file/d/0B4qnUFYMgSc-eDRSTE53bDUwd28/view
  4. 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
  5. Nestor Certification Working Group. (2013). Explanatory Notes on the Nestor Seal for Trustworthy Digital Archives. http://d-nb.info/1047613859/34
  6. 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
  7. Rans, J. and Whyte, A. (2017). Using RISE: the Research Infrastructure Self-Evaluation Framework. http://www.dcc.ac.uk/resources/how-guides/RISE
  8. 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.


[edit] COMMITTEE MEMBER EXPERIENCE

  1. 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.
  2. 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
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