Understanding Genetic Mechanisms of Renewal in Regular Tissue and Cancer Cells: A Data Management Case from a Ph.D. Candidate Data Producer
dc.contributor.author | Day, Jan C | |
dc.date | 2022-08-11T08:08:18.000 | |
dc.date.accessioned | 2022-08-23T15:50:10Z | |
dc.date.available | 2022-08-23T15:50:10Z | |
dc.date.issued | 2013-04-03 | |
dc.date.submitted | 2013-02-06 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14038/28605 | |
dc.description | <p>This submission is a part of the Simmons Graduate School of Library and Information Science launch course in 532G Scientific Research Data Management.</p> | |
dc.description.abstract | OBJECTIVE: To document the challenges that a Ph.D. candidate faces as being a key producer of research in the field of cancer biology research including intellectual property rights and day-to-day practices in implementing a PI's research objective. METHODS: The librarian conducted a semi-structured data interview of a Ph.D. candidate from the biology department at a research institution. At the time of writing, the reference interview has not been conducted. The archivist will transcribe the interview using a RDM planning instrument to categorize the RDM challenges. The archivist will author a case narrative to highlight the challenges a Ph.D. candidate as a key producer of research data in an organized study. RESULTS: At the time of the proposal, the results of the data interview are not yet available. CONCLUSIONS: Although the interview explores the data management practices of Ph.D. candidate as a key producer of laboratory data, the study does not recommend librarians conducting reference interviews with research staff to create data management plans. | |
dc.format | flash_audio | |
dc.language.iso | en_US | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | data management | |
dc.subject | reference interview | |
dc.subject | student research | |
dc.subject | breast cancer | |
dc.subject | stem cells | |
dc.subject | RNAi screening | |
dc.subject | computational modeling | |
dc.subject | chemical genetics | |
dc.subject | molecular probing | |
dc.subject | quantitative modeling | |
dc.subject | Biology | |
dc.subject | Cancer Biology | |
dc.subject | Library and Information Science | |
dc.title | Understanding Genetic Mechanisms of Renewal in Regular Tissue and Cancer Cells: A Data Management Case from a Ph.D. Candidate Data Producer | |
dc.type | Other | |
dc.identifier.legacyfulltext | https://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1054&context=escience_symposium&unstamped=1 | |
dc.identifier.legacycoverpage | https://escholarship.umassmed.edu/escience_symposium/2013/posters/13 | |
dc.identifier.contextkey | 3663006 | |
refterms.dateFOA | 2022-08-23T15:50:10Z | |
html.description.abstract | <p>OBJECTIVE: To document the challenges that a Ph.D. candidate faces as being a key producer of research in the field of cancer biology research including intellectual property rights and day-to-day practices in implementing a PI's research objective.</p> <p>METHODS: The librarian conducted a semi-structured data interview of a Ph.D. candidate from the biology department at a research institution. At the time of writing, the reference interview has not been conducted. The archivist will transcribe the interview using a RDM planning instrument to categorize the RDM challenges. The archivist will author a case narrative to highlight the challenges a Ph.D. candidate as a key producer of research data in an organized study.</p> <p>RESULTS: At the time of the proposal, the results of the data interview are not yet available.</p> <p>CONCLUSIONS: Although the interview explores the data management practices of Ph.D. candidate as a key producer of laboratory data, the study does not recommend librarians conducting reference interviews with research staff to create data management plans.</p> | |
dc.identifier.submissionpath | escience_symposium/2013/posters/13 |