Invitation: workshop "Opening Research Data" / March 21, 2019 / Berlin
Please find attached the CfP for our workshop 'Opening Research Data'
taking place on 21 March 2019 in Berlin, aiming at investigating open
data practices in media research.
The event is convened by the scholarly interest group Open Media Studies
of the German Association for Media Studies (GfM), in cooperation with
Very much looking forward to your statements of interest until 15 Feb.
Please feel free to contact me in case of questions.
With best regards.
xxx--- sorry for cross-posting ---xxx
Call as PDF:
Opening Research Data
Amplification and Reduction within Media Research Practices
1st Workshop of the Open Media Studies interest group of the German
Society for Media Studies (Gesellschaft für Medienwissenschaft – GfM),
in cooperation with Wikimedia Deutschland e. V.
Workshop: Wikimedia Deutschland e. V., Berlin, March 21, 2019 Statements
of interest/registration by Feb 15, 2019
Open by default? The open data discourse suggests that it is always
better to “open up” research data; hidden datasets do not help anyone
besides the producing researchers themselves. Data produced with the
support of public research funds must not be rotting away in a
(depreciating) hard drive, a PDF table, or –beware– on an analogue piece
of paper. Rather, research data should adhere to the FAIR data
principles - hence, being searchable, accessible, interoperable and
re-usable (Wilkinson et al. 2016).
However, as sociologist Bruno Latour highlights (Latour 1999), opening
up (amplification) always comes with a trade-off (reduction). In the
process of data mobilization and standardization, we may gain
compatibility and relative universality, but lose qualities such as
locality, particularity, materiality, context and diversity. As much as
FAIR data is a nobel objective and promising way to strive for open
science in many academic fields (e.g. biology, computer science,
physics), these principles may seem hard to work with for people
handling qualitative or mixed (quant/qual) data, small data, highly
heterogeneous, unstructured data, or analogue data.
In our workshop, we would like to assess what “opening up research data”
can mean for media scholars, and more generally for the humanities and
some fields of the social sciences (e.g. anthropology, Science &
Technology Studies). What are opportunities for open data methods? Which
challenges are we facing? What is at stake for a particular research
project?The aim of the one day-workshop is to apply a very open
definition of research data, not limited to stabilized data in research
infrastructures (e.g. metadata within digital media archives). Rather,
this can also include data appearing as social media tag, ethnographic
field note, or diagram, gathered through qualitative, quantitative and
mixed methods. Possible topics include:
- Standardization vs. diversity. In what cases can standardization offer
aproductive way of collaborating? Where does it risk to work against or
even efface diversity? To what extent can crowdsourcing be a meaningful
practice for organizing data in research objects?
- Categorization and labeling. How does our (meta-)data, our data codes
and labels change within the process of opening up research to the
public, e.g. when categorization is delegated to algorithms, e.g. by
machine learning and automated bots in environments such as Wikidata.
How do we know today what kind of metadata is needed for questions in
the near future?
- Open infrastructures. Given a relational and temporal perspective on
infrastructures (Star and Ruhleder 1996), what may “open infrastructure”
- Openness and digitality. As relevant literature of the field suggests
(see e.g. Bartling and Friesike 2014), the political discourses of open
science and digitalization are closely interwoven. But is this mandatory
for a true open science? Can there be open data beyond digital data?
- “Big Data”. What changes with data of high velocity, volume, variety,
resolution, indexicality, relationality, and flexibility (Kitchin 2013),
e.g. data sourced from social media networks, transformed, analyzed with
scripts in a hackathon or data sprint? Are these too unstable to be
archived and re-used?
We aim to discuss these and other questions from a conceptual point of
view. Our goal of the workshop is not so much to evaluate the
application of specific tools or infrastructures, but to rather think
about open research data theoretically, though concrete examples are
desirable. The focus of the workshop is on data in media research,
however not limited to media studies as a discipline. We welcome
researchers from other disciplines and fields (e.g. STS, anthropology,
information science, etc.), as well as practitioners (librarians,
science communicators, archivists, research data managers etc.).
As part of the workshop, we will conduct a live experiment in opening
research data by gathering literature references on digital media
research, sharing them and making the collection available online. In
line with efforts of the Forum Digitalization of the GfM, the aim is to
gather literature on digital media research and open up this
bibliographic collection for all interested parties. If you’d like to
join this initiative, but can’t participate in the workshop, drop an
email to firstname.lastname@example.org and get access to the relevant
Zotero Online group and (work-in-progress) collection. Looking forward
to see how the process of ‘opening up’ works of our own (bibliographic)
We are looking forward to statements of interest for workshop
participation, including conceptual questions illustrated by a concrete
example of one’s own research and a short bio (300-500 words).
Please send your statement not later than February 15, 2019 to both
Dr. Sarah-Mai Dang: email@example.com
Simon Hirsbrunner: firstname.lastname@example.org
Participants will be provided with further information by March 4, 2019.
For questions please feel free to contact us.
The workshop will take place from 11h to 19h at Wikimedia DE
headquarters in Berlin followed by a casual dinner (self-payment basis).
The event will be conducted in English, but German submissions are also
Very much looking forward to your contributions and participation!
Sarah-Mai Dang (Philipps Universität Marburg), Simon David Hirsbrunner
(Universität Siegen) and Sarah Behrens (Wikimedia e. V.)
Workshop: March 21, 2019; 11 – 19 h Registration deadline: February 15,
Wikimedia Deutschland e. V. Tempelhofer Ufer 23/24 10963 Berlin
Dr. Sarah-Mai Dang (Philipps University of Marburg), Simon David
Hirsbrunner (University of Siegen) and Sarah Behrens (Wikimedia
Deutschland e. V.)
Bartling, Sönke, and Sascha Friesike, eds. Opening Science. Cham:
Springer International Publishing, 2014.
Kitchin, Rob. “Big Data, New Epistemologies and Paradigm Shifts.” Big
Data & Society 1, no. 1 (2014).
Latour, Bruno. Pandora’s Hope: Essays on the Reality of Science Studies.
1 edition. Cambridge, Mass.: Harvard University Press, 1999.
Star, Susan Leigh, and Karen Ruhleder. “Steps Toward an Ecology of
Infrastructure: Design and Access for Large Information Spaces.”
Information Systems Research 7, no. 1 (1996).
Wilkinson, Mark D., Michel Dumontier, IJsbrand Jan Aalbersberg,
Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, et al. “The
FAIR Guiding Principles for Scientific Data Management and Stewardship.”
Scientific Data 3 (2016).
Simon David Hirsbrunner
Wissenschaftlicher Mitarbeiter | /PhD researcher/
DFG-Graduiertenkolleg Locating Media
/Postgraduate programme Locating Media/
+49 (0)271 740 5229
Open Media Studies
working group at the deutsche Gesellschaft für Medienwissenschaft (GfM)
Join us! gfmedienwissenschaft.de/gesellschaft/ags/openmediastudies
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