Providing Social Science Data Services:
Strategies for Design and Operation

ICPSR August 2012

Big Data

Anderson, C. (2008, June 23). The End of Theory: The Data Deluge Makes the Scientific Method Obsolete. Wired, 16(7). Retrieved from http://www.wired.com/print/science/discoveries/magazine/16-07/pb_theory
Anderson, J., & Rainie, L. (2012). The Future of Apps and Web. Washington, D.C.: Pew Research Center’s Internet & American Life Project. Retrieved from http://www.pewinternet.org/Reports/2012/Future-of-Apps-and-Web/Overview.aspx?view=all
Big data: The next Google : Nature News. (2008).Nature, 455(7209), 8–9. doi:10.1038/455008a
Bollier, D. (2010). The Promise and Peril of Big Data. Aspen Institute. Retrieved from http://www.aspeninstitute.org/sites/default/files/content/docs/pubs/InfoTech09.pdf
Borgman, C. L. (2010). Research Data: Who will share what, with whom, when, and why? Presented at the China-North America Library Conference, Beijing. Retrieved from http://works.bepress.com/borgman/238/
Borgman, C. L. (2012). The Conundrum of Sharing Research Data. Journal of the American Society for Information Science and Technology, 63(6), 1059–1078. Retrieved from http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2073876&
boyd, danah, & Crawford, K. (2012). Critical Questions For Big Data. Information, Communication & Society, 1–18. doi:10.1080/1369118X.2012.678878
Boyd, D., & Crawford, K. (2011). Six Provocations for Big Data. SSRN eLibrary. Retrieved from http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1926431
Community cleverness required. (2008).Nature, 455(7209), 1. doi:10.1038/455001a
Delve, J., Anderson, D., Dobreva, M., Baker, D., Billenness, C., & Konstantelos, L. (2012). Preservation of Complex Objects. Volume 1 - Visualisations and Simulations. University of Portsmouth. Retrieved from http://pocos.org/images/pub_material/books/pocos_vol_1.pdf
Doctorow, C. (2008). Big data: Welcome to the petacentre : Nature News. Nature, 455(7209), 16–21. doi:10.1038/455016a
Fanklin, K. D., & Rodriguez’G, K. (2008, July 29). The Next Big Thing in Humanities, Arts and Social Science Computing: Cultural Analytics. HPC Wire. Retrieved from http://www.hpcwire.com/features/The_Next_Big_Thing_in_Humanities_Arts_and_Social_Science_Computing_Cultural_Analytics.html
Frankel, F., & Reid, R. (2008). Big data: Distilling meaning from data : Article : Nature. Nature, 455, 30. doi:10.1038/455030a
Gantz, J., & Reinsel, D. (2011). Extracting Value from Chaos. Framingham, MA: IDC Go-to-Market Services. Retrieved from http://www.emc.com/collateral/analyst-reports/idc-extracting-value-from-chaos-ar.pdf
Gaudet, P., Bairoch, A., Field, D., Sansone, S.-A., Taylor, C., Attwood, T. K., Bateman, A., et al. (2010). Towards BioDBcore: a community-defined information specification for biological databases. Nucleic Acids Research. doi:10.1093/nar/gkq1173
Goldston, D. (2008). Big data: Data wrangling : Nature News. Nature, 455(7209), 15. doi:10.1038/455015a
Gray, N., Carozzi, T., & Woan, G. (2012). Managing Research Data in Big Science. arXiv:1207.3923. Retrieved from http://arxiv.org/abs/1207.3923
Heidorn, P. B. (2008). Shedding Light on the Dark Data in the Long Tail of Science. Library Trends, 57(2), 280–299. Retrieved from http://muse.jhu.edu/journals/library_trends/v057/57.2.heidorn.html
Hogenboom, K., Teper, T., & Wiley, L. (2011). Collecting Small Data ( No. 276). Research Library Issues: A Bimonthly Report from ARL, CNI, and SPARC, (pp. 12–19). Association of Research Libraries. Retrieved from http://publications.arl.org/1h7vog.pdf
Hotz, R. L. (2009, August 28). Data Deluge Swamps Science Historians - WSJ.com. Wall Street Journal. Retrieved from http://online.wsj.com/article/SB125139942345664387.html#printMode
Howe, D., & et al. (2008). Big data: The future of biocuration : Article : Nature. Nature, 455, 47–50. doi:10.1038/455047a
Jacobs, A. (2009). The Pathologies of Big Data. Queue, 7(6), 10–19. doi:10.1145/1563821.1563874
Kaiser, M. (2012). Putting 600,000 Books Online: the Large-Scale Digitisation Partnership between the Austrian National Library and Google. Liber, 21(2), 213–225. Retrieved from http://liber.library.uu.nl/publish/issues/2011-2/index.html?000540
Lynch, C. A. (2008). Big data: How do your data grow? : Article : Nature. Nature, 455, 28–29. doi:doi:10.1038/455028a
Mayernik, M. S., Batcheller, A. L., & Borgman, C. L. (2011). How institutional factors influence the creation of scientific metadata (pp. 417–425). ACM Press. doi:10.1145/1940761.1940818
McDonald, D., & Kelly, U. (2012). Value and benefits of text mining ( No. 811). JISC. Retrieved from http://www.jisc.ac.uk/publications/reports/2012/value-and-benefits-of-text-mining.aspx
Nelson, S. (2008). Big data: The Harvard computers : Article : Nature. Nature, 455, 36–37. doi:10.1038/455036a
Reilly, S., Schallier, W., Schrimpf, S., Smit, E., & Wilkinson, M. (2011). Report On Integration Of Data And Publications. Opportunities For Data Exchange. Retrieved from http://www.alliancepermanentaccess.org/wp-content/uploads/downloads/2011/11/ODE-ReportOnIntegrationOfDataAndPublications-1_1.pdf
Salo, D. (2010). Retooling Libraries for the Data Challenge. Ariadne, (64). Retrieved from http://www.ariadne.ac.uk/issue64/salo/
Stewart, C. (2012). Preservation and Access in an Age of E-Science and Electronic Records: Sharing the Problem and Discovering Common Solutions. Journal of Library Administration, 52(3-4), 265–278. doi:10.1080/01930826.2012.684505
Szalay, A. S. (2008). The Sloan Digital Sky Survey and beyond. SIGMOD Rec., 37(2), 61–66. doi:10.1145/1379387.1379407
Szalay, A. S., Gray, J., Thakar, A. R., Kunszt, P. Z., Malik, T., Raddick, J., Stoughton, C., et al. (2002). The SDSS skyserver: public access to the sloan digital sky server data. Proceedings of the 2002 ACM SIGMOD international conference on Management of data (pp. 570–581). Madison, Wisconsin: ACM. doi:10.1145/564691.564758
Szalay, A. S., Kunszt, P. Z., Thakar, A., Gray, J., Slutz, D., & Brunner, R. J. (2000). Designing and mining multi-terabyte astronomy archives: the Sloan Digital Sky Survey. Proceedings of the 2000 ACM SIGMOD international conference on Management of data (pp. 451–462). Dallas, Texas, United States: ACM. doi:10.1145/342009.335439
Taraborelli, D. (2010, October 28). Alt-metrics: A manifesto. Academic Productivity. Retrieved December 17, 2010, from http://www.academicproductivity.com/2010/alt-metrics-a-manifesto/
The Promise and Peril of Big Data | The Aspen Institute. (n.d.). Retrieved January 18, 2010, from http://www.aspeninstitute.org/publications/promise-peril-big-data
Waldrop, M. (2008). Big data: Wikiomics : Nature News. Nature, 455, 22–25. doi:10.1038/455022a
Williford, C., Henry, C., & Friedlander, A. (2012). One Culture. Computationally Intensive Research in the Humanities and Social Sciences A Report on the Experiences of First Respondents to the Digging Into Data Challenge ( No. 151). CLIR Publication. Washington, D.C: Council on Library and Information Resources. Retrieved from http://www.clir.org/pubs/reports/pub151
Wittes, B. (2011). Databuse: Digital Privacy and the Mosaic - Brookings Institution. Governance Studies. Washington, D.C.: Brookings Institution. Retrieved from http://www.brookings.edu/papers/2011/0401_databuse_wittes.aspx
Yu, H., & Robinson, D. G. (2012). The New Ambiguity of “Open Government.” SSRN eLibrary. Retrieved from http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2012489

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Last modified: Jul 31, 2012