Patricia Hswe | Publishing & Curation Services
What typically should happen when responding to a data management plan consultation request is the following:
- Copy the relative subject specialist on the response (stating in the email that you would like to invite them to the meeting), or forward the message to the subject specialist with an invitation to the meeting.
- Ask the PI for the deadline of the proposal
- Ask the PI if there's a link to the solicitation, to read it before the consultation
- Ask if it is possible to see a draft of the proposal, which will also help to understand the data
- Ask for available times to meet
- Give the link to the toolkit or suggest that if they haven't already consulted it. They might want to look at it.
There's some follow-up after that (confirming the time and place, perhaps pointing them to the local guidance we've created for Penn State researchers). Prior to the meeting, try to find out as much as possible about the data, the faculty member's specialty, and whether there's a possibility for an existing repository to take that data. Also confer with the subject specialist, since he/she will be attending the session.
The RDMST Charge
Advise on and/or assist in the creation, management, access to or disposition of digital data sets needed for research and teaching at Penn State. Initial focus on outreach around the NSF Data Management policy, but this team could help to develop or outline front-line consulting base for advanced research services in a variety of fields and interdisciplinary research. This team is not intended to substitute for subject liaisons, but to supplement their existing expertise.
For the purpose of this group, "data" can mean any information that takes digital format: numerical datasets, observational information, map, texts, images, time-dependent media, etc. (The National Science Foundation has also used this definition: “data are any and all complex data entities from observations, experiments, simulations, models, and higher order assemblies, along with the associated documentation needed to describe and interpret the data.” (See in particular chapter 4 of “Cyberinfrastructure Vision for 21st Century Discovery” at http://www.nsf.gov/pubs/2007/nsf0728/index.jsp.) The group will need to focus on data created by researchers and/or data that researchers need to create or obtain.
Marcy Bidney, co-chair
Patricia Hswe, co-chair
Ann Holt - Graduate Assistant, Scholarly Communications, 2010-2012
The work of this team may inform or be informed by:
Digital Scholarship has released the Research Data Curation Bibliography. It includes over 100 selected English-language articles and technical reports that are useful in understanding the curation of digital research data in academic and other research institutions. See:
Gabridge, T. (2009). The last mile: liaison roles in curating science and engineering research data. Research Library Issues: A Bimonthly Report from ARL, CNI, and SPARC, no. 265, 15-21.
Perry. O. & Mauthner, M. (2009). Whose data are they anyway? Practice, legal and ethical issues in archiving qualitative research data. Sociology (36) 1, 139-152. Abstract is available. Retrieved from http://soc.sagepub.com/content/38/1/139.short.
Piwowar, H. & Chapman, W. (2010). Public sharing of research datasets: A pilot study of associations. Journal of Infometrics (4) 2, 148-156.
Science special issue, "Dealing with Data." Retrieved from http://www.sciencemag.org/site/special/data/. (Note: this issue is available to read for free online, but you must register for such access.)
Zimmerman, A. (2007). Not by metadata alone: the use of diverse forms of knowledge to locate data for reuse. (gated) International Journal on Digital Libraries (7) 1-2, 5-16.
Book of Trogol (D. Salo, E. Brown, S. Shreeves)
Digital Curation Blog (Digital Curation Centre, U.K.)
Research Remix (H. Piwowar)
Data Description Tools List DCC
Data Documentation Initiative (DDI) - metadata specification for the social and behavioral sciences
Depositing data to DRYAD (this is a good example of some guidelines for data deposit in a repository)
UK Data Archive: Preparing your Data
Hedstrom, M. & Niu, J. (2008). Incentives for data producers to create “archive-ready” data: implications for archives and records management. Society of American Archivists, San Francisco, CA. Retrieved from http://www.archivists.org/publications/proceedings/researchforum/2008/papers/M-HedstromJ-Niu-SAA-ResearchPaper-2008.pdf.
McNeill, K. (2010, November). Data management plans. [Powerpoint slides] (attached to the wiki)
Piwowar, H. (2010). A semi-automated method to track data set reuse in biomedicine. Presented at ASIS&T 2010, Pittsburgh, PA. Retrieved from http://researchremix.org/data/ASIST2010_geo_Piwowar_Poster.pdf.
Sallans, A. (2011, January). NSF data management plan: implications for librarians. [Powerpoint slides]. Presented at ALA Midwinter Meeting, San Diego, CA. Retrieved from http://connect.ala.org/files/26554/ala_stshtdg_sallans_010811_pdf_31574.pdf.
Salo, D. & R. Schryver. (2010, August). Escaping datageddon. [Powerpoint slides]. Retrieved from http://www.slideshare.net/cavlec/escaping-datageddon.
Data Asset Framework - http://www.data-audit.eu/.
Feijen, M. (2011). What researchers want. P. Gretton and K. Russell (Eds.). Utrecht: SURF Foundation.
Scaramozzino, J.M., Ramirez, M. & McGaughey, K. (2010). "Managing the data deluge: understanding scientists' need for data curation services. [Poster]. Presented at the California Academic and Research Libraries' Association, Sacramento, CA. Retrieved from http://digitalcommons.calpoly.edu/lib_fac/56/.
Westra, B. (2010). "Data services for the sciences: a needs assessment." Ariadne 64. Retrieved from http://www.ariadne.ac.uk/issue64/westra/.
Research Data Management: An Introduction
November 9th, 10h30 - 11h30 in 302 Paterno ---- Managing your Digital Assets: Tips for Grad scholars
You already have a sense of how to organize your stuff so that you can find it. Right? However, sometimes when your stuff isn’t necessarily visible (as in the case of electronic files) organization can be challenging. Losing hours, days, months, and sometimes years of hard work can be horrifying. Learn how to manage your data, files, and scholarly documents in order to avoid mishaps and make research and learning efficient. Sponsored by Library Learning Services, this workshop is designed for graduate students to give tips for best practices in data management and organization.
April 21st: "Coming to a Discipline Near You”
Last Spring, the National Science Foundation made an announcement changing the way research proposals are awarded. By fall, they set a date. As of January 18th, 2011 all NSF proposals must include a two page data management plan that outlines the nature and standards of the proposed research data, as well as how access, sharing, archiving, and maintenance of the data will function. As a result, researchers, academic libraries, as well as university organizations and institutes for research are pulling together in response to this call, asking questions about what this means for research across disciplines, how it will impact libraries and archives, and how new forms of collection, storage and access will be performed. Find out what this means for you on April 21st at a presentation offered by the Research Data Management Team!