The application of archival concepts to a data-intensive environment: Working with scientists to understand data management and preservation needs

Archival Science

Volumn 11, Issue 3-4, 2011, Pages 329-348

  Akmon, Dharma ^a   Zimmerman, Ann ^a   Daniels, Morgan ^a   Hedstrom, Margaret ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Data curation; Data documentation; Data management; Data reuse; Science data

Indexed keywords

EID: 81955164240     PISSN: 13890166     EISSN: 15737519     Source Type: Journal    
DOI: 10.1007/s10502-011-9151-4     Document Type: Article

References (27)

1. Berman F (2008) Got data? A guide to data preservation in the information age. Commun ACM 51(12): 50-55.
2. Birnholtz JP, Bietz MJ (2003) Data at work: supporting sharing in science and engineering. Proceedings of the 2003 International ACM SIGGROUP Conference on Supporting Group Work. Sanibel Island, FL, pp 339-348.
3. Borgman CL, Wallis JC, Enyedy N (2007) Little science confronts the data deluge: habitat ecology, embedded sensor networks, and digital libraries. Int J Digit Libr 7(1-2): 17-30.
4. Botticelli P (2000) Records appraisal in network organizations. Archivaria 49: 161-191.
5. Bowker G (2006) Memory practices in the sciences. MIT Press, Cambridge, MA.
6. Cragin MH, Palmer CL, Carlson JR, Witt M (2010) Data sharing, small science and institutional repositories. Philos Trans R Soc A 368: 4023-4038.
7. Curry A (2011) Reuse of old data offers lesson for particle physicists. Science 331: 694-695.
8. Elliott CA (1974) Experimental data as a source for the history of science. Am Arch 37(1): 27-35.
9. Feijen M (2011) What researchers want. SURF foundation, Utrecht.
10. Gantz J, Reinsel D (2010) The digital universe decade-are you ready? IDC White Paper, May 2010. http://idcdocserv. com/925. Assessed 27 Feb. 2011.
11. Haas J, Samuels H, Simmons B (1985) Appraising the records of modern science and technology: a guide. MIT Press, Cambridge, MA.
12. Hackman L, Warnow-Blewett J (1987) The documentation strategy: a model and a case study. Am Arch 50(1): 12-27.
13. Hey T, Tansley S, Tolle K (eds) (2009) The fourth paradigm: data-intensive scientific discovery. Microsoft Research, Redmond, Washington.
14. King WJ (1964) The project on the history of recent physics in the United States. Am Arch 27(2): 237-243.
15. King G (2011) Ensuring the data-rich future of the social sciences. Science 331: 719-721.
16. Lauriault T, Craig B, Taylor DR, Pulsifer P (2007) Today's data are part of tomorrow's research: Archival issues in the sciences. Archivaria 64: 123-178.
17. Madnick S, Smith M, Clopeck K (2009) Materials science and engineering at MIT. The scientific data flood: a case study of "how much information?" http://hmi. ucsd. edu/pdf/HMI_Case_MaterialsScienEng. pdf. Accessed 16 Mar. 2011.
18. Piwowar H, Chapman W (2009) Public sharing of research datasets: a pilot study of associations. J Informetr 4(2): 148-156.
19. Shankar K (2007) Order from chaos: The poetics and pragmatics of scientific recordkeeping. J Am Soc Inf Sci Technol 58(10): 1457-1466.
20. U. S. National Institutes of Health (2003) Data sharing policy and implementation guidance. http://grants. nih. gov/grants/policy/data_sharing/data_sharing_guidance. htm. Accessed 15 Mar. 2011.
21. U. S. National Science Foundation (2010) Application and administration guide, Chapter IV. D. 4. http://www. nsf. gov/pubs/policydocs/pappguide/nsf11001/aag_6. jsp#VID4. Accessed 15 Mar. 2011.
22. van House NA (2003) Digital libraries and collaborative knowledge construction. In: Bishop AP, Buttenfield B, van House NA (eds) Digital library use: social practice in design and evaluation. MIT Press, Cambridge, MA, pp 271-295.
23. Wallis J C, Borgman C L, Mayernik M, Pepe A (2008) Moving archival practices upstream: an exploration of the life cycle of ecological sensing data in collaborative field research. Int J Digit Curation, 3(1): 114-126. http://www. ijdc. net/index. php/ijdc/article/view/67/46. Accessed 17 Mar. 2011.
24. Warnow-Blewett J, Capitos AJ, Genuth J, Weart SR (1995) AIP study of multi-institutional collaborations: Phase I: High energy physics. Report No. 1: Summary of project activities and findings: Project recommendations. American Institute of Physics, College Park, MD. http://www. aip. org/history/pubs/collabs/hep-rp1. htm. Accessed 15 Mar. 2011.
25. Warnow-Blewett J, Genuth J, Weart SR (2001) AIP study of multi-institutional collaborations: final report: highlights and project recommendations. American Institute of Physics, College Park, MD. http://www. aip. org/history/pubs/collabs/highlights. html. Accessed 15 Mar. 2011.
26. th ed. Sage, Thousand Oaks, CA.
27. Zimmerman A (2008) New knowledge from old data: the role of standards in the sharing and reuse of ecological data. Sci Technol Human Values 33(5): 631-652.