Challenges for libraries in data curation · Self-assestment / Data audit Digital Curation Center checklist Should provide guidance on different: Data producers (quality of data)

Challenges for libraries in data curation

Consol GarciaLibrarian, Biblioteca Campus del Baix LlobregatUniversitat Politècnica de Catalunya- Barcelona Tech

PKP 2011, Berlin

PKP Conference, Berlin 2011

Challenges for libraries in data curation

Something about data:why data?why open?why sharing data?

Somethingabout libraries,What we need todo, what challenges do we face, opportunities, social network

What's going on? European Research Council, JISC, SURF, Germany


Data, Linked data, Linked Open data✔ Because computationally intensive science is

being carried out

✔ This is a data society, due to e-science (new methodology emerging from broadband communications networks, software and infrastructure)

✔ Web of data intended to enable computers to understand the semantics (…)


Open Data / Open AccessRegarding data...

✔ Are we where oa was 10 years ago✔ Both share goals✔ Same stakeholders and workteams

✔ Biomed, Wellcome trust, scholarly publiching, researchers, ...

✔ Movements that benefit one from each other

In Berlin declaration there's mention to metadata, raw data and other materials


Sharing data

✔ It's much more than share✔ It's deposition, preservation,✔ It's access, use and reuse

Data Life cycle

✔ It's much more than life span✔ It's a cycle that properly managed will enable

access, evaluations and re-use over time


Data Life cycle


Why share data?


Why share data?

✔ To verify data✔ To retain data integrity✔ PARSE study 98% if research is publicly

funded, the results should become public property and be properly preserved


Why not to share it?

✔ Researchers want to use their results as intellectual capital

✔ Researchers can sell their data✔ It takes time, effort and money✔ No data standards within a discipline✔ Idiosyncratic research practices


What's important? Technical perspective


What's important? Cultural barriers

✔ Scientist must be aware on data management

✔ Changing the culture of science from publications to data

✔ Ensure proper citation (technology will help)

✔ Social tools have a great potencial to speed up scientific discovery


What needs to happen?

✔ Build an infrastructure✔ is kind of everybody's problem, and

therefore it's nobody's problem, Boyle)

✔ Design good online tools✔ understand how science works)

✔ Create cultural change✔ Top down strategy (open access movement)✔ Bottom-up (how to measure contributions)

Arxiv and SPIRES


When will it happen?

✔ When researchers find it useful✔ When researchers get credit to do it✔ When funders require it✔ When publishers require/find it useful✔ When the recommendations and polices are checked


When should it be done?

✔ Before publication✔ Human Genome Project✔ Arxiv.org

✔ After publication✔ NIH✔ PANGEA


Examples✔ Protein Data Bank (prepublication)✔ NCBI: GenBank✔ Sloan Digital Sky Project✔ PLOS and PMC (editors)✔ Arxiv.org (repositories)✔ DataONE (DataObservation Network for Earth) under

NSF DataNet programme✔ PANGEA

✔ a lot of work but still technical, legal and cultural barriers


Where to begin: roadmap✔ Self-assestment / Data audit

✔ Digital Curation Center checklist✔ Should provide guidance on different:

✔ Data producers (quality of data)✔ Data users (fair use)✔ Funding agencies (mandate data)✔ Repositories (storage, preservation of data,

DRAMBORA)

✔ On the requirements in the international projects


What's going on?✔ Carlos Morais Pires e-infrastructures and scientific data

✔ Some EU projects aiming for enviromental related data ENV 2012.6

✔ JISC MRD Programme✔ University of Edimburg has a policy plan for RDM

✔ PANGEA funded by German research council in 2010

✔ Seal of Approval (DANS)✔ Spain is just beginning


Librarian's role✔ Increasing volume & types of data✔ Subject librarian could be the curator✔ Should have skills and knowledge on:

✔ Scientific research✔ Operating systems✔ Database management systems✔ Scripting languages

✔ Some functions:✔ Streamline submission to databases✔ Automate curation✔ Standarize data✔ Facilitate contributions to annotation✔ Editing and teaching?


Librarian's role✔ Self-teaching, on-job experience✔ Training at LIS:

✔ University of Illinois at Urbana-Champaign✔ Digital Curation Center DC101

✔ Journal and conferences✔ Could help with

✔ Metadata✔ Copyright✔ Advocacy✔ Archiving and long-term preservation✔ Citing data


Conclusions

✔ Librarians could/will be involved at any stage in the research process and collect the pieces

✔ Deep partnership between library and researchers is necessary

✔ Focus on small-scale solutions✔ Be aware of metadata schemas and vocabularies within a discipline

✔ Librarians and researchers are still learning how to manage research data


Conclusions✔ Different approaches attending to:

✔ funding agencies,✔ subject disciplines

✔ Physics✔ Meteorology✔ Astronomy✔ Life science

✔ world region✔ age of researchers

✔ 50% of the respondents from the Tenopir et al. survey reported that neither the organization or the project provide funds to manage data


Conclusions

✔ No data standards within a discipline

✔ Complexity among data objects✔ Some communities are willing to share but there's no data center where to send the data

✔ Some times the problem relies on the quantity and quality of data

✔ Mandates flexibility


Thank you!

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Challenges for libraries in data curation · Self-assestment / Data audit Digital Curation Center checklist Should provide guidance on different: Data producers (quality of data)