Producing archive ready data sets iassist 2006
Download
1 / 15

Producing Archive Ready Data Sets IASSIST 2006 - PowerPoint PPT Presentation


  • 56 Views
  • Uploaded on

Producing Archive Ready Data Sets IASSIST 2006. Margaret Hedstrom Jinfang Niu Kaye Marz. Compliance, Incentives, Motivation. Motivation Data archiving processes are predicated on the assumption of some degree of cooperation between the producer and the archive Research Questions

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' Producing Archive Ready Data Sets IASSIST 2006' - hans


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Producing archive ready data sets iassist 2006

Producing Archive Ready Data SetsIASSIST 2006

Margaret Hedstrom

Jinfang Niu

Kaye Marz


Compliance incentives motivation
Compliance, Incentives, Motivation

  • Motivation

    • Data archiving processes are predicated on the assumption of some degree of cooperation between the producer and the archive

  • Research Questions

    • How much effort are data producers willing to expend preparing data for deposit?

    • What incentives might induce data producers to improve the quality of data and metadata that they deposit?


Incentive study
Incentive study

  • Best case scenario: Researchers are required by their sponsor (NIJ) to deposit data in an established archive (NACJD)

  • Part 1: Survey of practice and attitudes

  • Part 2: Lab experiments

  • Part 3: Field experiments


Survey and preliminary results
Survey and Preliminary Results

  • Objectives

    • Identify barriers to depositing data at ICPSR

    • Understand data producers’ attitudes about depositing data

    • Test hypotheses re: prior experience and attitudes about depositing data and incentive mechanisms

    • Identify potential incentive mechanisms for lab and field experiments


Survey population
Survey Population

  • NIJ-funded researchers

    • Recent depositors (N=58) Response rate 41.4%

    • New grantees (N=112) Response rate 27.7%

    • Total (N=170) Response Rate 32%

  • Experienced and Mature Researchers

    • 30+ years old (98%)

    • PhD (87%)

    • 15+ years of research experience (83%)


Preliminary findings
Preliminary findings

  • Experience with depositing data and conducting secondary analysis

    • Only one-third have deposited data two or more times

    • Only 14% have conducted secondary analysis two or more times


Incentives to encourage reuse and secondary analysis
Incentives to encourage reuse and secondary analysis

  • If more data sets related to their research were available (67.3%)

  • If they could discuss the data set with the person who collected the data (41.8%)

  • If the data sets had better documentation (32.7%)

  • If the data archive provided more assistance with use of the data (30.9%)

  • If they received credit for the effort they invested in order to use the data (12.7%)


Requirements and guidance
Requirements and Guidance

  • 95% were aware of the deposit requirement

  • 31% were not aware of the NIJ Guidelines

  • 47% were not aware of the ICPSR Guidelines

  • Of respondents who were aware of the guidelines:

    • 72% found the NIJ Guidelines useful or very useful

    • 85% found the ICPSR Guidelines useful

  • 65 % of respondent did not know what DDI is


Benefits of depositing data
Benefits of Depositing Data

  • It saves other people the effort of collecting the same data again (76%)

  • It increases the chances the data will be cited by other people, which will enhance my reputation (52%)

  • It saves me effort in answering questions about the data (38%)

  • As a social scientist, I routinely deposit my data in a public archive for the public good (36%)

  • It saves me effort in managing and preserving the data (34%)


Incentives for depositing data
Incentives for Depositing Data

  • If I thought the data that I deposited would really benefit many other people (65%)

  • If depositing data was a mandatory to receive new funding from NIJ (50%)

  • If depositing qualified data counted as a citable publication (37%)

  • If other people’s citations of the data counted as citations to my work (33%)

  • If depositing data were a prerequisite for publishing a paper derived from the data (27%)

  • If I can get monetary compensation for depositing data(15%)


Incentives for improving the quality of data and documentation
Incentives for Improving the Quality of Data and Documentation

  • If I could get additional services from ICPSR (36%)

  • If the quality of the data collection that I submitted was visible to others (34%)

  • If data archivists would keep nagging me till they got the necessary information (32%)

  • If I noticed that most other data depositors provided better information than I did (17%)

  • If secondary users of the data would keep nagging me till they got the necessary information (11%)

  • If my data would be released sooner (6%)


What would make depositing data easier
What would make depositing data easier? Documentation

  • More time and financial support from NIJ (64%)

  • Better tools (48%)

  • More training in preparing data for deposit (38%)

  • ICPSR could make the requirements shorter and easier (36%)

  • ICPSR could handle confidentiality concerns for me (28%)

  • Better guidelines for what the archive needs from me (28%)

  • On-site help from data archivists (28%)

  • Less staff turn over on our research project (12%)


Preliminary conclusions
Preliminary Conclusions Documentation

  • Depositing data and using data archives for secondary analysis are uncommon practices

  • Researchers have inadequate support from funding agencies for preparing data and documentation

  • Researchers understand the benefits of depositing data for the larger community


Next steps
Next Steps Documentation

  • Laboratory experiments with incentive mechanisms that reflect researchers’ attitudes about sharing data

  • Field experiments with promising mechanisms

  • Recommendations to funding agencies


Thank you
Thank You Documentation

Incentives for data producers to create archive-ready data sets

PI’s

Margaret Hedstrom

Yan Chen

Myron Gutman

NSF Award # 0456022

www.si.umich.edu/incentives/


ad