Rattlesnake Creek area 25 Douglas Creek (Gird Creek) district 47 Wolf Creek district 2 Gamet Range area 26 Maxville area 48 Marysville (Silver Creek) district 3 Clinton district 27 Racetrack (Danielsville) district 49 Ophir (Snowshoe Creek, Carpenter 4 Copper Cliff district 28 Philipsburg district Creek) district 5 Coloma district 29 Red Lion (Hidden Lake) district 50 Dog Creek area 6 Gamet (First Chance) district 30 Lost Creek district 51 Austin district 7 Top O'Deep district 31 Blue-Eyed Nellie district 52 Scratchgravel Hills area 8 Elk Creek area 32 Olson Gulch district 53 Sevenmile Creek area 9 Bear Creek area 33 Johnson Basin district 54 Stemwinder Hill area 10 Garrison district 34 Georgetown (Southern Cross, Cable, 55 Helena (Last Chance) district 11 Sapphire Mountains area Gold Coin) district 56 North Boulder Mountains area 12 Welcome Creek district 35 Silver Lake district 57 Elliston district 13 Rock Creek area 36 Anaconda Range area 58 Rimini (Vaughn) district 14 Frog Pond Basin district 37, Deer Lodge Valley area 59 Clancy district 15 Moose Lake district 38 Blackfoot River area 60 Basin (Cataract) district 16 John Long Mountains area 39 Big Blackfoot (Ogden Mountain) 61 Wickes (Colorado) district 17 Alps district district 62 Amazon district 18 Black Pine (Combination) district 40 Lincoln Gulch area 63 Boulder (Comet) district 19 Henderson Creek area 41 McClellan Gulch district 64 Emery (Zosell) district 20 Flint Creek Range area 42 Seven-up Pete Gulch area 65 South Boulder Mountains area 21 Dunkleberg district 43 Stemple-Gould district 66 Oro FiQo district 22 Pioneer (Gold Creek) district 44 Nevada Creek area 67 Lowland district 23 Rose Mountain (Gold Creek)• district 45 Finn district 68 Big Foot (State Creek) district 24 Princeton (Boulder Creek) district 46 Little Prickly Pear area 69 Butte (Summit Valley) district 70 Pipestone district 37,000 tons of ore that averaged 45 percent copper were mined from the Anaconda claim and shipped to a smelter. By 1885, 25 companies were mining copper in the Butte district. The early shipments of high-grade copper ore were hauled by ox cart to Corinne, Utah, then by railroad to east coast ports, and finally by sea to Swansea, Wales, for smelting. After the completion of the Northern Pacific Railroad in 1883, ore was hauled to Portland, Oregon, and then by sea to Swansea. The high cost of transportation, however, combined with recognition that the deposits were of large size and high copper grades prompted construction of branch railroad lines and smelters to transport and process the ore locally. Much of the construction occurred between 1884 and 1900 and was financed by newly formed large mining corporations and holding companies. By 1906, Butte was the most important mining center in the U.S. and was second in the world after the Rand mines in South Africa. By the end of 1906, total production of the Butte district was estimated to be $650 million and Butte was producing about 20 percent of the world's total copper. One of the largest mining companies in Butte was...
Purpose – Researchers at the University of Tennessee Libraries experimented with crowdsourcing to determine if contributions by members of the public could be utilized to add citations and subject tags to a new online bibliography, Database of the Smokies (DOTS: dots.lib.utk.edu). The paper aims to discuss this issue. Design/methodology/approach – The database is built in Drupal, an open source platform that provides a crowdsourcing mechanism. The public was offered the opportunity to create accounts and add content to DOTS. After three months, the project team performed a transaction log analysis of user submissions in order to determine whether an editorial process was necessary. Findings – This analysis revealed that 18 percent of database content was the result of crowdsourcing and that much of the content submitted by participants was either obscure or difficult to locate. The analysis also showed that while contributors added valuable citations, an editorial review process was necessary to ensure this crowdsourced content could be published in the database. In addition, contributor supplied subject tags were not of significant uniqueness or quantity to substantially influence the existing taxonomy. Finally, the publicity of the crowdsourcing feature allowed other institutions to contribute to the project and add rare material. Originality/value – This paper offers a model for utilizing crowdsourcing to entice a sophisticated user group to help build a bibliographic database.
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