- Sep 2017
- Oct 2015
The Coming of OERRelated to the enthusiasm for digital instructional resources,four-fifths (81percent) of the survey participants agreethat “Open Source textbooks/Open Education Resource(OER) content “will be an important source for instructional resources in five yea
- Jan 2014
Less than half (45%) of the respondents are satisfied with their ability to integrate data from disparate sources to address research questions
The most important take-away I see in this whole section on reasons for not making data electronically available is not mentioned here directly!
Here are the raw numbers for I am satisfied with my ability to integrate data from disparate sources to address research questions:
- 156 (12.2%) Agree Strongly
- 419 (32.7%) Agree Somewhat
- 363 (28.3%) Neither Agree nor Disagree
- 275 (21.5%) Disagree Somewhat
- 069 (05.4%) Disagree Strongly
Of the people who are not satisfied in some way, how many of those think current data sharing mechanisms are sufficient for their needs?
Of the ~5% of people who are strongly dissatisfied, how many of those are willing to spend time, energy, and money on new sharing mechanisms, especially ones that are not yet proven? If they are willing to do so, then what measurable result or impact will the new mechanism have over the status quo?
Who feel that current sharing mechanisms stand in the way of publications, tenure, promotion, or being cited?
Of those who are dissatisfied, how many have existing investment in infrastructure versus those who are new and will be investing versus those who cannot invest in old or new?
10 years ago how would you have convinced someone they need an iPad or Android smartphone?
Reasons for not making data electronically available. Regarding their attitudes towards data sharing, most of the respondents (85%) are interested in using other researchers' datasets, if those datasets are easily accessible. Of course, since only half of the respondents report that they make some of their data available to others and only about a third of them (36%) report their data is easily accessible, there is a major gap evident between desire and current possibility. Seventy-eight percent of the respondents said they are willing to place at least some their data into a central data repository with no restrictions. Data repositories need to make accommodations for varying levels of security or access restrictions. When asked whether they were willing to place all of their data into a central data repository with no restrictions, 41% of the respondents were not willing to place all of their data. Nearly two thirds of the respondents (65%) reported that they would be more likely to make their data available if they could place conditions on access. Less than half (45%) of the respondents are satisfied with their ability to integrate data from disparate sources to address research questions, yet 81% of them are willing to share data across a broad group of researchers who use data in different ways. Along with the ability to place some restrictions on sharing for some of their data, the most important condition for sharing their data is to receive proper citation credit when others use their data. For 92% of the respondents, it is important that their data are cited when used by other researchers. Eighty-six percent of survey respondents also noted that it is appropriate to create new datasets from shared data. Most likely, this response relates directly to the overwhelming response for citing other researchers' data. The breakdown of this section is presented in Table 13.
Categories of data sharing considered:
- I would use other researchers' datasets if their datasets were easily accessible.
- I would be willing to place at least some of my data into a central data repository with no restrictions.
- I would be willing to place all of my data into a central data repository with no restrictions.
- I would be more likely to make my data available if I could place conditions on access.
- I am satisfied with my ability to integrate data from disparate sources to address research questions.
- I would be willing to share data across a broad group of researchers who use data in different ways.
- It is important that my data are cited when used by other researchers.
- It is appropriate to create new datasets from shared data.
In the course of your research or teaching, do you produce digital data that merits curation? 225 of 292 (77%) of respondents answered "yes" to this first question, which corresponds to 25% of the estimated population of 900 faculty and researchers who received the survey.
For those who do not feel they have data that merits curation I would at least like to hear a description of the kinds of data they have and why they feel it does not need to be curated?
For some people they may already be using well-curated data sets; on the other hand there are some people who feel their data may not be useful to anyone outside their own research group, so there is no need to curate the data for use by anyone else even though under some definition of "curation" there may be important unmet curation needs for internal-use only that may be visible only to grad students or researchers who work with the data hands-on daily.
UPDATE: My question is essentially answered here: https://hypothes.is/a/xBpqzIGTRaGCSmc_GaCsrw
Responsibility, myself versus others. It may appear that responses to the question of responsibility are bifurcated between "Myself" and all other parties combined. However, respondents who identified themselves as being responsible were more likely than not to identify additional parties that share that responsibility. Thus, curatorial responsibility is seen as a collaborative effort. (The "Nobody" category is a slight misnomer here as it also includes non-responses to this question.)
This answers my previous question about this survey item:
Awareness of data and commitment to its preservation are two key preconditions for successful data curation.
Which parties do you believe have primary responsibility for the curation of your data? Almost all respondents identified themselves as being personally responsible.
For those that identify themselves as personally responsible would they identify themselves (or their group) as the only ones responsible for the data? Or is there a belief that the institution should also be responsible in some way in addition to themselves?
Availability of the raw survey data is subject to the approval of the UCSB Human Subjects Committee.
Survey design The survey was intended to capture as broad and complete a view of data production activities and curation concerns on campus as possible, at the expense of gaining more in-depth knowledge.
Summary of the survey design
To summarize the survey's findings: Curation of digital data is a concern for a significant proportion of UCSB faculty and researchers. Curation of digital data is a concern for almost every department and unit on campus. Researchers almost universally view themselves as personally responsible for the curation of their data. Researchers view curation as a collaborative activity and collective responsibility. Departments have different curation requirements, and therefore may require different amounts and types of campus support. Researchers desire help with all data management activities related to curation, predominantly storage. Researchers may be underestimating the need for help using archival storage systems and dealing with attendant metadata issues. There are many sources of curation mandates, and researchers are increasingly under mandate to curate their data. Researchers under curation mandate are more likely to collaborate with other parties in curating their data, including with their local labs and departments. Researchers under curation mandate request more help with all curation-related activities; put another way, curation mandates are an effective means of raising curation awareness. The survey reflects the concerns of a broad cross-section of campus.
Summary of survey findings.
- survey question
- human subjects
- survey design
- collaborative effort
- survey data
- data curation