I often go to this conference, but don’t have the funding to this year.
On 10/3/17, 7:38 AM, "Discuss on behalf of Lex Nederbragt" <[email protected] on behalf of [email protected]> wrote: >Hi, > >This may be a good place to promote the Software/Data Carpentry efforts >towards 'Skills and competence building’. I’d love to go but am uncertain >whether I can commit to it... > >Best, > > Lex > >-----Original Message----- >From: Digital Curation Centre [mailto:[email protected]] >Sent: Friday, September 29, 2017 4:01 PM >Subject: International Digital Curation Conference 2018 - Call for Papers > >Beyond FAIR - from principles to practice to global join up > >The need to manage and share digital outputs and data has been clearly >articulated and gained international traction over the past decade or more. >Effective data handling skills and curation services are essential to support >and embed these practices. Much progress has been made towards implementation >with services being provided by research institutions, funders, domain groups, >commercial providers and others. As the landscape matures, attention is >turning to coordination and interoperability, with investments being made in >the NIH Commons initiative, the European Open Science Cloud and African Open >Science Platform. This evolution poses many difficult questions: Who is >responsible for what? What do principles like FAIR mean in reality and how >should they be assessed? How do you join up or ensure interoperability across >existing and emerging infrastructure and services? Where does the investment >come from and how do we make this sustainable? > >The focus of IDCC in 2018 is sharing practical lessons on the efforts made so >far to curate data and pursue a digital data commons. Papers should address >one of three overarching themes: > >* Data >* Skills and services >* Value > >We want to hear from different communities on data processing pipelines - what >works and where do tools fail you? How realistic is it to use other people's >data? And what challenges emerge from the current policies and drivers for >openness? > >Lessons from those supporting and curating data and digital collections are >also called for: what programmes have you been running to share skills and >build capacity? To what extent are you tailoring provision to different >domains? How are the services on offer maturing and evolving? > >In terms of impact and sustainability, we want to know what value is being >generated for society by sharing and reusing data? What models are emerging to >demonstrate the impact of services. And how are services being sustained? > >THE DATA > >The realities of working with data > >* Fitting a square peg into a round hole - data wrangling experiences >from the coalface >* Using other people's data and the benefits and challenges this brings >* Implementing FAIR data - how it applies (or not) in different contexts >* Data publishing and getting credit >* The importance of metadata >* I can't preserve that! Digital curation lessons learned the hard way >* Big Data: hype or hope? > >Sensitive data and legal challenges > >* Ethical and societal challenges in a climate of openness >* Fairness, transparency, privacy: can personal data be FAIR? >* Secure data services >* Regulatory change and its impact on digital curation >* Legal interoperability in international research >* Inspiring trust: needs of the 21st century data governance system >* Increasing personalization/user modeling and navigating the tension >between usability and privacy > >THE SKILLS & SERVICES > >Skills and competence building > >* Data champion and advocacy programmes >* Emerging models to build capacity and skills e.g. library/researcher >partnerships, train-the-trainer models, peer-exchange, summer school >programmes, learning-by-doing >* Professionalising data science and stewardship roles: accreditation and >recognition >* Disciplinary tailoring and research community connections >* What are the challenges and opportunities in developing cross-domain >expertise? >* Recognising and rewarding good practice > >Services > >* Service discoverability in a distributed environment >* Domain-specific vs generic services - what is the scope for either, >what lessons can we draw from existing experience? >* Many niche providers vs few, monolithic providers - what works best for >researchers and research? >* The role of national data services >* Building links between people, data and services >* New innovations and offerings in response to community uptake and needs >* Interoperability and services as part of the global data commons > >THE VALUE > >Data, society and impact > >* Measuring and demonstrating impact >* Data science: connecting data to solve grand challenges >* How to generate significant economic, social and scientific value from >(big) data? >* How machine learning can transform research and change data curation >practices >* Cultural heritage collections, time-based media arts and digital >humanities >* How data can amplify or reduce existing inequalities - or create new >ones > >Sustainability and coordinated service planning > >* Successful project delivery, now what? How to keep momentum and >transition to service >* Making the business case for open science and research data management >* Who should pay? Business models for sustainable investments >* International collaboration and interoperable services >* Tracking impact and meeting user needs > >Submissions can take a number of forms, including research papers, practice >papers, posters and workshops. Papers are all considered for fee-free >open-access publication in the International Journal of Digital Curation. > >For more details on the submission process, criteria and submission deadlines, >please visit the conference website http://www.dcc.ac.uk/events/idcc2018 . > >_______________________________________________ >Discuss mailing list >[email protected] >http://lists.software-carpentry.org/listinfo/discuss _______________________________________________ Discuss mailing list [email protected] http://lists.software-carpentry.org/listinfo/discuss
