Category: Data Sharing

What Impact Zone Consultancy Can Do For You

Hello. We’re Impact Zone. We make your digital world better. We are a consultancy that specializes in content strategy, analytics, corporate identity, and information systems (websites, CMS, and iRODS). We solve your toughest digital challenges by applying our expertise to find cost-effective solutions. We implement a client-centered design and development approach and create digital experiences […]

Why I Started My Own Business

I am often asked why I started my business, rather than go into a full-time research or academic position. I thought I would answer this question as my first LinkedIn post. The primary reason I started my business was simply the inner drive to provide for a business need I perceived. As a doctoral student, […]

What is an Information Scientist and What is Information Science?

Over the years I have been asked what I do and what my profession does in general. I know what I do, but I’m better at writing than speaking, and I often stumble over my words. The other day I found these definitions, thanks to the State of North Carolina’s Division of Employment Security job […]

Guest blog: Muriel Swijghuisen Reigersberg: Ethics and Research Data Management in Arts, Humanities and Social Science Research

“Completing the University’s EPSRC light-touch questionnaire on research data management (RDM) for Goldsmiths, University of London gave me some pause to reflect on Expectations vii and viii, which address the secure storage, appropriate sharing, archiving, maintenance and inventorying of data and what this means for my institution, which specialises in arts, humanities and social science research.

It gave me food for thought because Expectations vii and viii impact on research ethics in particular. If data is made openly available via the internet, economies of scale change significantly. So does the potential to (unintentionally) do harm, through accidentally or even unwittingly sharing the wrong type of data. Therefore data management plans must be included in research ethics applications and advice and training on appropriate sharing practices must be available to University staff in all lines of work, including professional service staff working in Libraries and IT if they are engaged in any form of RDM activity. So far so good, and dare I say, obvious, or so I thought. Not quite so, if you are working with academic staff specialising in the arts, humanities and social sciences (AHSS).

Firstly, it has to be acknowledged that AHSS researchers vary in their discipline-specific practices and that the term ‘data’ means different things to different researchers. Levels of awareness on how to appropriately and ethically manage data, if it is defined at all, also vary markedly.

The concept of ‘data’ is one alien to many researchers working in the AHSS sphere. They either find it an objectionable term in the sense that their ‘data’ is personal information about, interviews with and images of persons whom they might know quite well, such as in ethnomusicology and anthropology. Treating this information about persons as ‘data’ dehumanises them, it is felt. Alternatively, data might be creative works of art and the documentation of creative activities that form part of a research enquiry. Similarly, the fact that AHSS researchers often prefer to distinguish themselves from STEM (science, technology, engineering and mathematics) researchers means that the word ‘data’ is not associated with AHSS research outputs or the creative process and deliberately shunned. Hence many AHSS researchers consider RDM activities to be irrelevant to their research enquiry before, during and after their work has been completed.

This, despite the excellent work undertaken by JISC funded project KAPTUR, which sought to ‘discover, create and pilot a sectoral model of best practice in the management of research data in the visual arts’, for example. Equally, the helpful guidance painstakingly created by DCC through a case study at the Open University is currently rarely referenced or found instructive by AHSS researchers that I work with, because it does not focus specifically on definitions of what data is, or could be in a specific discipline.  Researchers have frequently told me they disengage with RDM activities because the language used does not reflect their disciplinary practice. Perhaps we should provide additional examples of what research data might look like in AHSS research and see whether alternative words might be used to describe products of practice-based research to help engage AHSS researchers with the RDM process.

Now, add to this the challenge of designing appropriate research ethics application forms, the aim of which should be to help researchers consider how they might appropriately share, archive and manage their research outputs and data. Traditionally, particularly arts and humanities scholars would conduct research that presented fewer ethical questions for consideration than perhaps those identified in bio-medical research. With the introduction of interdisciplinary research however, there are theatre researchers offering therapy workshops in Chinese political prisons; students in visual cultures wanting to interview the militia in countries with a dubious human rights track record and creative writers employing investigative journalism methodologies to help inform their latest research project on an actual murder enquiry.

The potential for sensitive data being collected during AHSS research here is enormous and the ethical imperative for managing it appropriately unquestionable. Here the challenge becomes two-fold: not only must we begin defining what research data is for AHSS researchers, we must also educate AHSS scholars about the need to manage their data sensitively through designing ethical approval forms that reflect models of data management not predicated on biomedical practice, language and definitions of data. Rather, we should design guidance that broadly reflects disciplinary differences whilst still ensuring the highest research integrity possible in RDM. Otherwise we risk further disengagement from the AHSS community, which, given the sensitivity of their data may – in some cases – do considerable social harm.”

Do you make or support AHSS research that faces these challenges?  How do you define research data in your practice?  Do you agree that ethics procedures are too closely modelled on STEM subject workflows and requirements?  Tell us in the comments!


Reputation instead of obligation: forging new policies to motivate academic data sharing.

Despite strong support from funding agencies and policy makers academic data sharing sees hardly any adoption among researchers. Current policies that try to foster academic data sharing fail, as they try to either motivate researchers to share for the common good or force researchers to publish their data. Instead, Sascha Friesike, Benedikt Fecher, Marcel Hebing, and Stephanie Linek argue that in […]

Incentives for open science: New prizes to encourage research integrity and transparency in social science.

The high-profile political science study on same-sex marriage views, now determined to be fraudulent, is the latest case exposing the failure of incentive structures in the academy. The academic community must strengthen research evidence and do more to promote transparency. Temina Madon shares the launch of prizes run by the Berkeley Initiative for Transparency in the Social Sciences (BITSS) that look to provide recognition, visibility and […]

Academia is a reputation economy — data-sharing policies should take incentives into account.

Data sharing has the potential to facilitate wider collaboration and foster scientific progress. But while 88% of researchers in a recent study confirmed they would like to use shared data, only 13% had actually made their own data publicly available. Benedikt Fecher, Sascha Friesike, Marcel Hebing, Stephanie Linek, and Armin Sauermann look at the mismatch between ideal and reality and argue that academia is a reputation economy, […]

Introduction to Open Science: Why data versioning and data care practices are key for science and social science.

A significant shift in how researchers approach their data is needed if transparent and reproducible research practices are to be broadly advanced. Carly Strasser has put together a useful guide to embracing open science, pitched largely at graduate students. But the tips shared will be of interest far beyond the completion of a PhD. If time is spent up front thinking about file organization, sample […]

How Science Can Help You Stick to Your New Year’s Resolutions

Are you having trouble sticking to your New Year’s goals? I am. I have two: to lose the weight I gained last year, and to complete and successfully defend my dissertation. Although this requires me to focus on two goals, I believe I can achieve these two goals by focusing on one goal: being disciplined. …

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<tamingdata /> Blog Milestones…

Recently, I hit a few milestones with this blog that I would like to acknowledge. I had just under 11k hits on this blog for the month of August 2014. That was the first time I had gone over 10k, period, and I almost made it to 11k. A few days ago, I noticed I …

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