Eurograd message

                Dear colleagues,
<br>
<br>Please find attached the CfP for our workshop 'Opening Research Data' 
<br>taking place on 21 March 2019 in Berlin, aiming at investigating open 
<br>data practices in media research.
<br>The event is convened by the scholarly interest group Open Media Studies 
<br>of the German Association for Media Studies (GfM), in cooperation with 
<br>Wikimedia Deutschland.
<br>
<br>Very much looking forward to your statements of interest until 15 Feb.
<br>Please feel free to contact me in case of questions.
<br>
<br>With best regards.
<br>Simon Hirsbrunner
<br>
<br>
<br>xxx--- sorry for cross-posting ---xxx
<br>
<br>
<br>________________
<br>
<br>Call as PDF: 
<br>https://gfmedienwissenschaft.de/sites/gfm/files/pdf/2019-02/Workshop_AG_OMS_OpenReseachData_2019_0.pdf 
<br>
<br>
<br>
<br>Workshop
<br>
<br>Opening Research Data
<br>Amplification and Reduction within Media Research Practices
<br>
<br>1st Workshop of the Open Media Studies interest group of the German 
<br>Society for Media Studies (Gesellschaft für Medienwissenschaft – GfM), 
<br>in cooperation with Wikimedia Deutschland e. V.
<br>
<br>Workshop: Wikimedia Deutschland e. V., Berlin, March 21, 2019 Statements 
<br>of interest/registration by Feb 15, 2019
<br>
<br>Open by default? The open data discourse suggests that it is always 
<br>better to “open up” research data; hidden datasets do not help anyone 
<br>besides the producing researchers themselves. Data produced with the 
<br>support of public research funds must not be rotting away in a 
<br>(depreciating) hard drive, a PDF table, or –beware– on an analogue piece 
<br>of paper. Rather, research data should adhere to the FAIR data 
<br>principles - hence, being searchable, accessible, interoperable and 
<br>re-usable (Wilkinson et al. 2016).
<br>
<br>However, as sociologist Bruno Latour highlights (Latour 1999), opening 
<br>up (amplification) always comes with a trade-off (reduction). In the 
<br>process of data mobilization and standardization, we may gain 
<br>compatibility and relative universality, but lose qualities such as 
<br>locality, particularity, materiality, context and diversity. As much as 
<br>FAIR data is a nobel objective and promising way to strive for open 
<br>science in many academic fields (e.g. biology, computer science, 
<br>physics), these principles may seem hard to work with for people 
<br>handling qualitative or mixed (quant/qual) data, small data, highly 
<br>heterogeneous, unstructured data, or analogue data.
<br>
<br>In our workshop, we would like to assess what “opening up research data” 
<br>can mean for media scholars, and more generally for the humanities and 
<br>some fields of the social sciences (e.g. anthropology, Science & 
<br>Technology Studies). What are opportunities for open data methods? Which 
<br>challenges are we facing? What is at stake for a particular research 
<br>project?The aim of the one day-workshop is to apply a very open 
<br>definition of research data, not limited to stabilized data in research 
<br>infrastructures (e.g. metadata within digital media archives). Rather, 
<br>this can also include data appearing as social media tag, ethnographic 
<br>field note, or diagram, gathered through qualitative, quantitative and 
<br>mixed methods. Possible topics include:
<br>
<br>
<br>- Standardization vs. diversity. In what cases can standardization offer 
<br>aproductive way of collaborating? Where does it risk to work against or 
<br>even efface diversity? To what extent can crowdsourcing be a meaningful 
<br>practice for organizing data in research objects?
<br>
<br>-  Categorization and labeling. How does our (meta-)data, our data codes 
<br>and labels change within the process of opening up research to the 
<br>public, e.g. when categorization is delegated to algorithms, e.g. by 
<br>machine learning and automated bots in environments such as Wikidata. 
<br>How do we know today what kind of metadata is needed for questions in 
<br>the near future?
<br>
<br>-  Open infrastructures. Given a relational and temporal perspective on 
<br>infrastructures (Star and Ruhleder 1996), what may “open infrastructure” 
<br>mean?
<br>
<br>-  Openness and digitality. As relevant literature of the field suggests 
<br>(see e.g. Bartling and Friesike 2014), the political discourses of open 
<br>science and digitalization are closely interwoven. But is this mandatory 
<br>for a true open science? Can there be open data beyond digital data?
<br>
<br>- “Big Data”. What changes with data of high velocity, volume, variety, 
<br>resolution, indexicality, relationality, and flexibility (Kitchin 2013), 
<br>e.g. data sourced from social media networks, transformed, analyzed with 
<br>scripts in a hackathon or data sprint? Are these too unstable to be 
<br>archived and re-used?
<br>
<br>We aim to discuss these and other questions from a conceptual point of 
<br>view. Our goal of the workshop is not so much to evaluate the 
<br>application of specific tools or infrastructures, but to rather think 
<br>about open research data theoretically, though concrete examples are 
<br>desirable. The focus of the workshop is on data in media research, 
<br>however not limited to media studies as a discipline. We welcome 
<br>researchers from other disciplines and fields (e.g. STS, anthropology, 
<br>information science, etc.), as well as practitioners (librarians, 
<br>science communicators, archivists, research data managers etc.).
<br>
<br>As part of the workshop, we will conduct a live experiment in opening 
<br>research data by gathering literature references on digital media 
<br>research, sharing them and making the collection available online. In 
<br>line with efforts of the Forum Digitalization of the GfM, the aim is to 
<br>gather literature on digital media research and open up this 
<br>bibliographic collection for all interested parties. If you’d like to 
<br>join this initiative, but can’t participate in the workshop, drop an 
<br>email to simon.hirsbrunner@uni-siegen.de and get access to the relevant 
<br>Zotero Online group and (work-in-progress) collection. Looking forward 
<br>to see how the process of ‘opening up’ works of our own (bibliographic) 
<br>data!
<br>
<br>We are looking forward to statements of interest for workshop 
<br>participation, including conceptual questions illustrated by a concrete 
<br>example of one’s own research and a short bio (300-500 words).
<br>
<br>Please send your statement not later than February 15, 2019 to both 
<br>organizers:
<br>Dr. Sarah-Mai Dang: sarah-mai.dang@uni-marburg.de
<br>Simon Hirsbrunner: simon.hirsbrunner@uni-siegen.de
<br>Participants will be provided with further information by March 4, 2019.
<br>
<br>For questions please feel free to contact us.
<br>
<br>The workshop will take place from 11h to 19h at Wikimedia DE 
<br>headquarters in Berlin followed by a casual dinner (self-payment basis). 
<br>The event will be conducted in English, but German submissions are also 
<br>welcome.
<br>
<br>Very much looking forward to your contributions and participation!
<br>Sarah-Mai Dang (Philipps Universität Marburg), Simon David Hirsbrunner 
<br>(Universität Siegen) and Sarah Behrens (Wikimedia e. V.)
<br>
<br>
<br>-------
<br>
<br>
<br>Time
<br>
<br>Workshop: March 21, 2019; 11 – 19 h Registration deadline: February 15, 
<br>2019
<br>
<br>
<br>Place
<br>
<br>Wikimedia Deutschland e. V. Tempelhofer Ufer 23/24 10963 Berlin
<br>
<br>
<br>Organization
<br>
<br>Dr. Sarah-Mai Dang (Philipps University of Marburg), Simon David 
<br>Hirsbrunner (University of Siegen) and Sarah Behrens (Wikimedia 
<br>Deutschland e. V.)
<br>
<br>
<br>Selected sources
<br>
<br>Bartling, Sönke, and Sascha Friesike, eds. Opening Science. Cham: 
<br>Springer International Publishing, 2014.
<br>
<br>Kitchin, Rob. “Big Data, New Epistemologies and Paradigm Shifts.” Big 
<br>Data & Society 1, no. 1 (2014).
<br>
<br>Latour, Bruno. Pandora’s Hope: Essays on the Reality of Science Studies. 
<br>1 edition. Cambridge, Mass.: Harvard University Press, 1999.
<br>
<br>Star, Susan Leigh, and Karen Ruhleder. “Steps Toward an Ecology of 
<br>Infrastructure: Design and Access for Large Information Spaces.” 
<br>Information Systems Research 7, no. 1 (1996).
<br>
<br>Wilkinson, Mark D., Michel Dumontier, IJsbrand Jan Aalbersberg, 
<br>Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, et al. “The 
<br>FAIR Guiding Principles for Scientific Data Management and Stewardship.” 
<br>Scientific Data 3 (2016).
<br>
<br>
<br>______
<br>
<br>Simon David Hirsbrunner
<br>
<br>Wissenschaftlicher Mitarbeiter | /PhD researcher/
<br>DFG-Graduiertenkolleg Locating Media
<br>
<br>/Postgraduate programme Locating Media/
<br>
<br>Universität Siegen
<br>
<br>Raum AH-315
<br>
<br>Herrengarten 3
<br>
<br>57072 Siegen
<br>
<br>+49 (0)271 740 5229
<br>
<br>hirsbrunner@locatingmedia.uni-siegen.de 
<br>
<br>
<br>twitter.com/simonsimson 
<br>
<br>www.researchgate.net/profile/Simon_Hirsbrunner 
<br>
<br>
<br>Co-Speaker
<br>Open Media Studies
<br>working group at the deutsche Gesellschaft für Medienwissenschaft (GfM)
<br>Join us! gfmedienwissenschaft.de/gesellschaft/ags/openmediastudies 
<br>
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