Proper Care and Feeding of Data and Information

Managing the Big Data Deluge | digital stewardship preservation curation

Data governance provides you with a method for the proper care and feeding of data and information.

When applied correctly, it provides the appropriate checks and balances to ensure those who need access to the data can do so.

The policies deny connection to the data by those people, internal or external, friend or foe, who do not need to know anything related to the data.

What kinds of policies do we mean? Any kind of policy, actually.

The policies might prevent access to research data by staff and outside persons who do not need to see it, much less alter it.

Rules might protect privacy, as with the upcoming General Data Protection Regulations (GDPR). Or, the enforced policies might preserve cultural heritage and research data into the indefinite future.

When research data is protected and stored properly, it allows future scientists to study past research to note changes in the environment, climate, or simply in peoples’ attitudes and actions.

When data is preserved, it provides a window into the past. More importantly, it means that research is repeatable, which is one of the basic criteria for any applied research method.

The drawbacks to data governance are that when it is applied improperly, it becomes a bottleneck that impedes work or research.

People then work around it, and the policies become paper rules and regulations, that are not enforced within a culture or within machine code.

Data governance provides you with a method for the proper care and feeding of data and information.

While this may aid in pushing day-to-day work forward, over the long term, it leaves companies and organizations open to litigation and/or expensive fines.

With regards to cultural heritage or research data, once the data is lost, damaged, or altered in some way, most cannot be recovered.

What is the Best Method for the Proper Care and Feeding of Data and Information?

The best course of action with any data governance policy is to balance the needs of employees and researchers to get their work done, against rules and regulations.

Large fines for GDPR violations could wipe out any gains by employees “cheating” to bypass data restrictions. The loss of research and cultural heritage data has no price.

When applying data governance to your enterprise, research project, or organization, the best course of action is to be brutally pragmatic.

Figure out which polices you must enforce, which ones you should enforce, and which ones would be nice to enforce. Then proceed to set up your systems and processes accordingly.

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Use a Mixed-Methods Content Analysis

Dublin Core metadata DCMES OAI-PMH DP SP

I thought I would help others by posting the two examples that helped me create my mixed-methods content analysis proposal and now, my mixed-methods content analysis dissertation.

I remember when I prepared for the literature review, I found myself frustrated at the scarcity of articles. I hope these two citations and studies help you.

The first citation is to a dissertation proposal. The second example is to the follow up dissertation. Both examples are real and N.V. Ivankova used them to fulfill the requirements for graduation.

I have listed my own literature review of content analysis, below. You may find the HTML version of my content analysis literature review here.

Example Studies Using Mixed-Methods Content Analysis

  • Ivankova, N.V. (2002.) Students’ Persistence in the University of Nebraska – Lincoln Distributed Doctoral Program in Educational Administration: a Mixed Methods Study (Doctoral Proposal). Sage Publications:New York. Retrieved from http://studysites.sagepub.com/creswellstudy/Sample%20Student%20Proposals/Proposal-MM-Ivankova.pdf. (pdf)
     
  • Ivankova, N.V. (2004). Students’ persistence in the University of Nebraska -Lincoln Distributed Doctoral Program in Educational Leadership in Higher Education: A mixed methods study (doctoral dissertation). Retrieved from the ETD collection for University of Nebraska – Lincoln. Paper AAI3131545. http://digitalcommons.unl.edu/dissertations/AAI3131545. (pdf)
     
  • Ward, J.H. (2012). Managing Data: Content Analysis Methodology. Unpublished manuscript, University of North Carolina at Chapel Hill. (pdf)

If you have any mixed-methods content analysis literature advice you would like to contribute, please leave the citation in the comments, below.

If you are looking for content analysis references (bibliographic/citations), please review the last paper above, which is my content analysis literature review.

Mixed-Methods Content Analysis

If you would like to work with us on a content analysis or data analysis and analytics project, please see our services page.

Content Analysis Methodology - Example Proposal and Dissertation