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Parcos_Curator v1.pdf

  1. This method has been developed within ParCos. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 872500. Curator How to curate scientific data to tell scientific stories and make it easier for others to reuse them?
  2. 2 Index About the Curator Cards 3 What? 4 For whom? 4 Why? 4 Why Data Curation? 5 Data curation principles 7 The Curator Cards 8 How to Use the Curator Cards? 9 Step by step 10 Step by step 11 Find out more 12 Author and Contact 13
  3. 3 About the Curator Cards
  4. 4 BACK TO INDEX About the Curator Cards What? The Curator Cards present a set of principles that support the visualisation of data for participatory science storytelling. The Curator Cards can help decide which (aspects of a) dataset are relevant to provide evidence for a scientific story and which formats to choose to communicate to which audience. For whom? The cards can be used by anyone who wants to present data as part of science communication. It helps them to make the data easier to understand for people engaging with the story. Why? The data Curator Cards are intended to convey data to a general audience so that the experience is engaging, easy, and fun. NOT THE TOOL YOU WERE LOOKING FOR? Discover the other tools for participatory science communication developed within the ParCos project here.
  5. 5 Why Data Curation?
  6. 6 BACK TO INDEX Why Data Curation? The term curation finds its origin in museum practice. The various curation roles in a museum relate to two types of practices. Just like the museum objects, data can also be collected, archived, preserved, interpreted and presented through stories. Identify Procure Manage 1 Select Organise Present 2 Collecting Archiving Preservation Sense­making and story construction Present Storytelling Visitor experience
  7. 7 BACK TO INDEX Why Data Curation? Data curation principles Visualise data as simply as possible. Engage people with data they didn’t collect and encourage them to collect their own data and add to it. Curate the data in a way that is as relevant to the audience as possible. Provide support for how to ask good questions from data. Use storytelling to frame the experiences with the data. Combine creative with practical activities. Start with a small part rather than the whole data set. Provide examples and prompt ways to expand upon own interest. Based on the literature we identified these data curation principles:
  8. 8 BACK TO INDEX Why Data Curation? The Curator Cards The data Curator Cards are intended to convey data to a general audience so that the experience is engaging, easy, and fun. The approaches are: Make a comic strip about the dataset. Build a chronological timeline out of a dataset. Start with one core ‘clue’ piece of data and curate data around it. Conduct a mini experiment by collecting and analyzing data. Make a news article out of datasets, possibly as a ‘reporter from the future’. Have a Q&A with an ‘expert’ and invite audience questions. Comic strip Historian Mini Experiment News Article Roleplay Investigation
  9. 9 BACK TO INDEX How to use the Curator Cards? How to Use the Curator Cards? Each Curator Card also relates to certain principles: Comic strip EXPANSION principle PRINCIPLE KEYS Expansion Context Inquiry Personal Data Collection Foundational Competences STEAM DESCRIPTION Start from a representative snapshots of a small part of the data set and expand out, rather than starting with the full, large data set and focusing it in. BENEFITS It will be easier for the data explorer to make the connection between the data and the prob- lem context point they can orient within the data before navigat- ing across its e.g. through time and/or space and or some other dimension of the data.
  10. 10 Step by step
  11. 11 BACK TO INDEX Stp by step Step by step Reflect on or discuss in small groups the data story that is being presented – consider the intended audience and media through which the story will be communicated. Pick a Curator Card and brainstorm how that method can be applied to the data story and evaluate to what extent it is suitable. Repeat for each card. Brainstorm alternative approaches that do not appear on the Curator Cards.
  12. 12 Find out more
  13. 13 BACK TO INDEX Find out more Annika Wolff Email LUT.Parcos@lut.fi ParCos webiste Website Other ParCos tools Discover the other tools for participatory science communication developed within the ParCos project here. Author and Contact
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